VastDB-analysis-Neural.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import nease\n",
    "\n",
    "import nease\n",
    "import mygene\n",
    "import pandas as pd\n",
    "import csv\n",
    "import matplotlib.pyplot as plt\n",
    "import pickle\n",
    "import seaborn as sns\n",
    "from sklearn.cluster import KMeans\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### VastDB pre-processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_folder='AS data/vastdb/'\n",
    "events= pd.read_table(data_folder+\"VASTDB_PSI_Hsa108_hg19.tab\")\n",
    "annot= pd.read_table(data_folder+\"events_all.tab\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "68982"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_columns', 500)\n",
    "#pd.set_option('display.max_colwidth', -1)\n",
    "len(events)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GENE</th>\n",
       "      <th>EVENT</th>\n",
       "      <th>COORD</th>\n",
       "      <th>LENGTH</th>\n",
       "      <th>FullCO</th>\n",
       "      <th>COMPLEX</th>\n",
       "      <th>Adipose_b</th>\n",
       "      <th>Adipose_b-Q</th>\n",
       "      <th>Adipose_c</th>\n",
       "      <th>Adipose_c-Q</th>\n",
       "      <th>Adipose_d</th>\n",
       "      <th>Adipose_d-Q</th>\n",
       "      <th>Adrenal_b</th>\n",
       "      <th>Adrenal_b-Q</th>\n",
       "      <th>Adrenal_c</th>\n",
       "      <th>Adrenal_c-Q</th>\n",
       "      <th>Amnion</th>\n",
       "      <th>Amnion-Q</th>\n",
       "      <th>Astrocytes</th>\n",
       "      <th>Astrocytes-Q</th>\n",
       "      <th>Bladder_a</th>\n",
       "      <th>Bladder_a-Q</th>\n",
       "      <th>Bone_marrow_a</th>\n",
       "      <th>Bone_marrow_a-Q</th>\n",
       "      <th>Bone_marrow_b</th>\n",
       "      <th>Bone_marrow_b-Q</th>\n",
       "      <th>Bone_marrow_c</th>\n",
       "      <th>Bone_marrow_c-Q</th>\n",
       "      <th>Brain_Endoth</th>\n",
       "      <th>Brain_Endoth-Q</th>\n",
       "      <th>Breast_Epith_a</th>\n",
       "      <th>Breast_Epith_a-Q</th>\n",
       "      <th>Breast_a</th>\n",
       "      <th>Breast_a-Q</th>\n",
       "      <th>CL_293T</th>\n",
       "      <th>CL_293T-Q</th>\n",
       "      <th>CL_Gm12878</th>\n",
       "      <th>CL_Gm12878-Q</th>\n",
       "      <th>CL_HeLa</th>\n",
       "      <th>CL_HeLa-Q</th>\n",
       "      <th>CL_K562</th>\n",
       "      <th>CL_K562-Q</th>\n",
       "      <th>CL_LP1</th>\n",
       "      <th>CL_LP1-Q</th>\n",
       "      <th>CL_MB231</th>\n",
       "      <th>CL_MB231-Q</th>\n",
       "      <th>CL_MCF7</th>\n",
       "      <th>CL_MCF7-Q</th>\n",
       "      <th>CL_PNT2</th>\n",
       "      <th>CL_PNT2-Q</th>\n",
       "      <th>Cerebellum_a</th>\n",
       "      <th>Cerebellum_a-Q</th>\n",
       "      <th>Cerebellum_c</th>\n",
       "      <th>Cerebellum_c-Q</th>\n",
       "      <th>Chorion</th>\n",
       "      <th>Chorion-Q</th>\n",
       "      <th>Colon_b</th>\n",
       "      <th>Colon_b-Q</th>\n",
       "      <th>Colon_sigmoid</th>\n",
       "      <th>Colon_sigmoid-Q</th>\n",
       "      <th>Colon_transverse</th>\n",
       "      <th>Colon_transverse-Q</th>\n",
       "      <th>Cortex</th>\n",
       "      <th>Cortex-Q</th>\n",
       "      <th>Decidua</th>\n",
       "      <th>Decidua-Q</th>\n",
       "      <th>ESC_H1_a</th>\n",
       "      <th>ESC_H1_a-Q</th>\n",
       "      <th>ESC_H1_b</th>\n",
       "      <th>ESC_H1_b-Q</th>\n",
       "      <th>ESC_H1_c</th>\n",
       "      <th>ESC_H1_c-Q</th>\n",
       "      <th>ESC_H1_d</th>\n",
       "      <th>ESC_H1_d-Q</th>\n",
       "      <th>ESC_H9_a</th>\n",
       "      <th>ESC_H9_a-Q</th>\n",
       "      <th>ESC_H9_b</th>\n",
       "      <th>ESC_H9_b-Q</th>\n",
       "      <th>Embr_Cortex_13_17wpc</th>\n",
       "      <th>Embr_Cortex_13_17wpc-Q</th>\n",
       "      <th>Embr_Forebrain_9_12wpc</th>\n",
       "      <th>Embr_Forebrain_9_12wpc-Q</th>\n",
       "      <th>Embr_Forebrain_St13_14</th>\n",
       "      <th>Embr_Forebrain_St13_14-Q</th>\n",
       "      <th>Embr_Forebrain_St17_20</th>\n",
       "      <th>Embr_Forebrain_St17_20-Q</th>\n",
       "      <th>Embr_Forebrain_St22_23</th>\n",
       "      <th>Embr_Forebrain_St22_23-Q</th>\n",
       "      <th>EndomStromCells</th>\n",
       "      <th>EndomStromCells-Q</th>\n",
       "      <th>EndothCells</th>\n",
       "      <th>EndothCells-Q</th>\n",
       "      <th>EpithelialCells</th>\n",
       "      <th>EpithelialCells-Q</th>\n",
       "      <th>Fibroblasts</th>\n",
       "      <th>Fibroblasts-Q</th>\n",
       "      <th>Frontal_Gyrus_old</th>\n",
       "      <th>Frontal_Gyrus_old-Q</th>\n",
       "      <th>Frontal_Gyrus_young</th>\n",
       "      <th>Frontal_Gyrus_young-Q</th>\n",
       "      <th>GLS_Cells</th>\n",
       "      <th>GLS_Cells-Q</th>\n",
       "      <th>HFDPC</th>\n",
       "      <th>HFDPC-Q</th>\n",
       "      <th>HMEpC_a</th>\n",
       "      <th>HMEpC_a-Q</th>\n",
       "      <th>Heart_a</th>\n",
       "      <th>Heart_a-Q</th>\n",
       "      <th>Heart_b</th>\n",
       "      <th>Heart_b-Q</th>\n",
       "      <th>Heart_c</th>\n",
       "      <th>Heart_c-Q</th>\n",
       "      <th>Kidney_b</th>\n",
       "      <th>Kidney_b-Q</th>\n",
       "      <th>Kidney_c</th>\n",
       "      <th>Kidney_c-Q</th>\n",
       "      <th>Kidney_d</th>\n",
       "      <th>Kidney_d-Q</th>\n",
       "      <th>Liver_a</th>\n",
       "      <th>Liver_a-Q</th>\n",
       "      <th>Liver_b</th>\n",
       "      <th>Liver_b-Q</th>\n",
       "      <th>Liver_c</th>\n",
       "      <th>Liver_c-Q</th>\n",
       "      <th>Lung_b</th>\n",
       "      <th>Lung_b-Q</th>\n",
       "      <th>Lung_e</th>\n",
       "      <th>Lung_e-Q</th>\n",
       "      <th>Lung_f</th>\n",
       "      <th>Lung_f-Q</th>\n",
       "      <th>Lymph_node_b</th>\n",
       "      <th>Lymph_node_b-Q</th>\n",
       "      <th>Lymph_node_c</th>\n",
       "      <th>Lymph_node_c-Q</th>\n",
       "      <th>MNC</th>\n",
       "      <th>MNC-Q</th>\n",
       "      <th>MSC</th>\n",
       "      <th>MSC-Q</th>\n",
       "      <th>Melanocytes</th>\n",
       "      <th>Melanocytes-Q</th>\n",
       "      <th>Microglia</th>\n",
       "      <th>Microglia-Q</th>\n",
       "      <th>Muscle_b</th>\n",
       "      <th>Muscle_b-Q</th>\n",
       "      <th>Muscle_d</th>\n",
       "      <th>Muscle_d-Q</th>\n",
       "      <th>Muscle_e</th>\n",
       "      <th>Muscle_e-Q</th>\n",
       "      <th>NPC_a</th>\n",
       "      <th>NPC_a-Q</th>\n",
       "      <th>NPC_b</th>\n",
       "      <th>NPC_b-Q</th>\n",
       "      <th>Neuroblastoma</th>\n",
       "      <th>Neuroblastoma-Q</th>\n",
       "      <th>Neurons</th>\n",
       "      <th>Neurons-Q</th>\n",
       "      <th>Oligodendrocytes</th>\n",
       "      <th>Oligodendrocytes-Q</th>\n",
       "      <th>Ovary_a</th>\n",
       "      <th>Ovary_a-Q</th>\n",
       "      <th>Ovary_b</th>\n",
       "      <th>Ovary_b-Q</th>\n",
       "      <th>Placenta_Epith</th>\n",
       "      <th>Placenta_Epith-Q</th>\n",
       "      <th>Placenta_a</th>\n",
       "      <th>Placenta_a-Q</th>\n",
       "      <th>Placenta_b</th>\n",
       "      <th>Placenta_b-Q</th>\n",
       "      <th>Placenta_c</th>\n",
       "      <th>Placenta_c-Q</th>\n",
       "      <th>Prostate_b</th>\n",
       "      <th>Prostate_b-Q</th>\n",
       "      <th>Prostate_c</th>\n",
       "      <th>Prostate_c-Q</th>\n",
       "      <th>Prostate_d</th>\n",
       "      <th>Prostate_d-Q</th>\n",
       "      <th>Retina_a</th>\n",
       "      <th>Retina_a-Q</th>\n",
       "      <th>Retina_macular</th>\n",
       "      <th>Retina_macular-Q</th>\n",
       "      <th>Retina_peripheral</th>\n",
       "      <th>Retina_peripheral-Q</th>\n",
       "      <th>Skin</th>\n",
       "      <th>Skin-Q</th>\n",
       "      <th>Small_intestine</th>\n",
       "      <th>Small_intestine-Q</th>\n",
       "      <th>Spleen_a</th>\n",
       "      <th>Spleen_a-Q</th>\n",
       "      <th>Spleen_b</th>\n",
       "      <th>Spleen_b-Q</th>\n",
       "      <th>Stomach_a</th>\n",
       "      <th>Stomach_a-Q</th>\n",
       "      <th>Stomach_b</th>\n",
       "      <th>Stomach_b-Q</th>\n",
       "      <th>Sup_Temporal_Gyrus</th>\n",
       "      <th>Sup_Temporal_Gyrus-Q</th>\n",
       "      <th>Testis_a</th>\n",
       "      <th>Testis_a-Q</th>\n",
       "      <th>Testis_b</th>\n",
       "      <th>Testis_b-Q</th>\n",
       "      <th>Testis_c</th>\n",
       "      <th>Testis_c-Q</th>\n",
       "      <th>Thymus_a</th>\n",
       "      <th>Thymus_a-Q</th>\n",
       "      <th>Thymus_b</th>\n",
       "      <th>Thymus_b-Q</th>\n",
       "      <th>Thyroid_b</th>\n",
       "      <th>Thyroid_b-Q</th>\n",
       "      <th>Thyroid_c</th>\n",
       "      <th>Thyroid_c-Q</th>\n",
       "      <th>Thyroid_d</th>\n",
       "      <th>Thyroid_d-Q</th>\n",
       "      <th>WBC_MNC_b</th>\n",
       "      <th>WBC_MNC_b-Q</th>\n",
       "      <th>WBC_MNC_c</th>\n",
       "      <th>WBC_MNC_c-Q</th>\n",
       "      <th>Whole_Brain_b</th>\n",
       "      <th>Whole_Brain_b-Q</th>\n",
       "      <th>iPS_a</th>\n",
       "      <th>iPS_a-Q</th>\n",
       "      <th>iPS_b</th>\n",
       "      <th>iPS_b-Q</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A1CF</td>\n",
       "      <td>HsaALTA0000001-1/2</td>\n",
       "      <td>chr10:52573617-52573798</td>\n",
       "      <td>0</td>\n",
       "      <td>chr10:52575766,52573617-52573822+52573798</td>\n",
       "      <td>Alt3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>80.00</td>\n",
       "      <td>N,N,N,5=5,S@4.00,1.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,5=5,S@5.00,0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,7=7,S@7.00,0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>65.09</td>\n",
       "      <td>SOK,SOK,SOK,106=106,S@69.00,37.00</td>\n",
       "      <td>93.33</td>\n",
       "      <td>VLOW,VLOW,VLOW,15=15,S@14.00,1.00</td>\n",
       "      <td>88.28</td>\n",
       "      <td>SOK,SOK,SOK,145=145,S@128.01,16.99</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,2=2,S@2.00,0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>86.00</td>\n",
       "      <td>OK,OK,OK,50=50,S@43.00,7.00</td>\n",
       "      <td>81.63</td>\n",
       "      <td>OK,OK,OK,49=49,S@40.00,9.00</td>\n",
       "      <td>75.00</td>\n",
       "      <td>OK,OK,OK,40=40,S@30.00,10.00</td>\n",
       "      <td>71.20</td>\n",
       "      <td>SOK,SOK,SOK,184=183,S@131.01,52.99</td>\n",
       "      <td>65.77</td>\n",
       "      <td>SOK,SOK,SOK,1306=1303,S@858.96,447.04</td>\n",
       "      <td>65.29</td>\n",
       "      <td>SOK,SOK,SOK,412=412,S@268.99,143.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,4=4,S@0.00,4.00</td>\n",
       "      <td>50.00</td>\n",
       "      <td>VLOW,VLOW,VLOW,10=10,S@5.00,5.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>82.75</td>\n",
       "      <td>SOK,SOK,SOK,284=284,S@235.01,48.99</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,3=3,S@3.00,0.00</td>\n",
       "      <td>71.43</td>\n",
       "      <td>VLOW,VLOW,VLOW,14=14,S@10.00,4.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A1CF</td>\n",
       "      <td>HsaALTA0000001-2/2</td>\n",
       "      <td>chr10:52573617-52573822</td>\n",
       "      <td>24</td>\n",
       "      <td>chr10:52575766,52573617-52573822+52573798</td>\n",
       "      <td>Alt3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>20.00</td>\n",
       "      <td>N,N,N,5=5,S@1.00,4.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,5=5,S@0.00,5.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,7=7,S@0.00,7.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>34.91</td>\n",
       "      <td>SOK,SOK,SOK,106=106,S@37.00,69.00</td>\n",
       "      <td>6.67</td>\n",
       "      <td>VLOW,VLOW,VLOW,15=15,S@1.00,14.00</td>\n",
       "      <td>11.72</td>\n",
       "      <td>SOK,SOK,SOK,145=145,S@16.99,128.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,2=2,S@0.00,2.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>14.00</td>\n",
       "      <td>OK,OK,OK,50=50,S@7.00,43.00</td>\n",
       "      <td>18.37</td>\n",
       "      <td>OK,OK,OK,49=49,S@9.00,40.00</td>\n",
       "      <td>25.00</td>\n",
       "      <td>OK,OK,OK,40=40,S@10.00,30.00</td>\n",
       "      <td>28.80</td>\n",
       "      <td>SOK,SOK,SOK,184=183,S@52.99,131.01</td>\n",
       "      <td>34.23</td>\n",
       "      <td>SOK,SOK,SOK,1306=1303,S@447.04,858.96</td>\n",
       "      <td>34.71</td>\n",
       "      <td>SOK,SOK,SOK,412=412,S@143.01,268.99</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,4=4,S@4.00,0.00</td>\n",
       "      <td>50.00</td>\n",
       "      <td>VLOW,VLOW,VLOW,10=10,S@5.00,5.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>17.25</td>\n",
       "      <td>SOK,SOK,SOK,284=284,S@48.99,235.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,3=3,S@0.00,3.00</td>\n",
       "      <td>28.57</td>\n",
       "      <td>VLOW,VLOW,VLOW,14=14,S@4.00,10.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AAAS</td>\n",
       "      <td>HsaALTA0000009-1/2</td>\n",
       "      <td>chr12:53704012-53704174</td>\n",
       "      <td>0</td>\n",
       "      <td>chr12:53708082,53704012-53704177+53704174</td>\n",
       "      <td>Alt3</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,2=2,S@0.00,2.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,3=3,S@0.00,3.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>60.69</td>\n",
       "      <td>N,N,N,5=5,S@3.03,1.97</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,3=3,S@0.00,3.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>25.55</td>\n",
       "      <td>N,N,N,4=4,S@1.02,2.98</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>50.72</td>\n",
       "      <td>N,N,N,2=2,S@1.01,0.99</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>13.67</td>\n",
       "      <td>VLOW,VLOW,VLOW,15=15,S@2.05,12.95</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>50.72</td>\n",
       "      <td>N,N,N,2=2,S@1.01,0.99</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>50.72</td>\n",
       "      <td>N,N,N,2=2,S@1.01,0.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,4=4,S@0.00,4.00</td>\n",
       "      <td>75.54</td>\n",
       "      <td>N,N,N,4=4,S@3.02,0.98</td>\n",
       "      <td>33.98</td>\n",
       "      <td>N,N,N,6=6,S@2.04,3.96</td>\n",
       "      <td>50.72</td>\n",
       "      <td>N,N,N,2=2,S@1.01,0.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>14.14</td>\n",
       "      <td>LOW,LOW,LOW,29=29,S@4.10,24.90</td>\n",
       "      <td>60.69</td>\n",
       "      <td>N,N,N,5=5,S@3.03,1.97</td>\n",
       "      <td>20.47</td>\n",
       "      <td>N,N,N,5=4,C2@1.02,3.98</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,3=3,S@0.00,3.00</td>\n",
       "      <td>20.47</td>\n",
       "      <td>N,N,N,5=5,S@1.02,3.98</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,6=6,S@0.00,6.00</td>\n",
       "      <td>33.98</td>\n",
       "      <td>N,N,N,3=3,S@1.02,1.98</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>25.55</td>\n",
       "      <td>N,N,N,4=4,S@1.02,2.98</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>40.70</td>\n",
       "      <td>N,N,N,5=5,S@2.04,2.96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,2=2,S@0.00,2.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,3=3,S@0.00,3.00</td>\n",
       "      <td>25.55</td>\n",
       "      <td>N,N,N,8=8,S@2.04,5.96</td>\n",
       "      <td>33.98</td>\n",
       "      <td>N,N,N,3=3,S@1.02,1.98</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,2=2,S@0.00,2.00</td>\n",
       "      <td>20.47</td>\n",
       "      <td>N,N,N,5=5,S@1.02,3.98</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,3=3,S@0.00,3.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>50.72</td>\n",
       "      <td>N,N,N,2=2,S@1.01,0.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>43.57</td>\n",
       "      <td>N,N,N,7=7,S@3.05,3.95</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,6=6,S@0.00,6.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>57.85</td>\n",
       "      <td>N,N,N,7=7,S@4.05,2.95</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>4.67</td>\n",
       "      <td>LOW,LOW,LOW,22=22,S@1.03,20.97</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>40.70</td>\n",
       "      <td>N,N,N,5=4,C2@2.04,2.96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,3=3,S@0.00,3.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>8.56</td>\n",
       "      <td>VLOW,VLOW,VLOW,12=12,S@1.03,10.97</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>33.98</td>\n",
       "      <td>N,N,N,3=3,S@1.02,1.98</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>80.46</td>\n",
       "      <td>N,N,N,5=5,S@4.02,0.98</td>\n",
       "      <td>20.47</td>\n",
       "      <td>LOW,LOW,LOW,25=25,S@5.12,19.88</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,3=3,S@3.00,0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,4=4,S@0.00,4.00</td>\n",
       "      <td>50.72</td>\n",
       "      <td>N,N,N,2=2,S@1.01,0.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,4=4,S@0.00,4.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>50.72</td>\n",
       "      <td>N,N,N,4=3,C2@2.03,1.97</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,4=4,S@0.00,4.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AAAS</td>\n",
       "      <td>HsaALTA0000009-2/2</td>\n",
       "      <td>chr12:53704012-53704177</td>\n",
       "      <td>3</td>\n",
       "      <td>chr12:53708082,53704012-53704177+53704174</td>\n",
       "      <td>Alt3</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,2=2,S@2.00,0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,3=3,S@3.00,0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>39.31</td>\n",
       "      <td>N,N,N,5=5,S@1.97,3.03</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,3=3,S@3.00,0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>74.45</td>\n",
       "      <td>N,N,N,4=4,S@2.98,1.02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>49.28</td>\n",
       "      <td>N,N,N,2=2,S@0.99,1.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>86.33</td>\n",
       "      <td>VLOW,VLOW,VLOW,15=15,S@12.95,2.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>49.28</td>\n",
       "      <td>N,N,N,2=2,S@0.99,1.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>49.28</td>\n",
       "      <td>N,N,N,2=2,S@0.99,1.01</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,4=4,S@4.00,0.00</td>\n",
       "      <td>24.46</td>\n",
       "      <td>N,N,N,4=4,S@0.98,3.02</td>\n",
       "      <td>66.02</td>\n",
       "      <td>N,N,N,6=6,S@3.96,2.04</td>\n",
       "      <td>49.28</td>\n",
       "      <td>N,N,N,2=2,S@0.99,1.01</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>85.86</td>\n",
       "      <td>LOW,LOW,LOW,29=29,S@24.90,4.10</td>\n",
       "      <td>39.31</td>\n",
       "      <td>N,N,N,5=5,S@1.97,3.03</td>\n",
       "      <td>79.53</td>\n",
       "      <td>N,N,N,5=4,C2@3.98,1.02</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,3=3,S@3.00,0.00</td>\n",
       "      <td>79.53</td>\n",
       "      <td>N,N,N,5=5,S@3.98,1.02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,6=6,S@6.00,0.00</td>\n",
       "      <td>66.02</td>\n",
       "      <td>N,N,N,3=3,S@1.98,1.02</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>74.45</td>\n",
       "      <td>N,N,N,4=4,S@2.98,1.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>59.30</td>\n",
       "      <td>N,N,N,5=5,S@2.96,2.04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,2=2,S@2.00,0.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,3=3,S@3.00,0.00</td>\n",
       "      <td>74.45</td>\n",
       "      <td>N,N,N,8=8,S@5.96,2.04</td>\n",
       "      <td>66.02</td>\n",
       "      <td>N,N,N,3=3,S@1.98,1.02</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,2=2,S@2.00,0.00</td>\n",
       "      <td>79.53</td>\n",
       "      <td>N,N,N,5=5,S@3.98,1.02</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,3=3,S@3.00,0.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>49.28</td>\n",
       "      <td>N,N,N,2=2,S@0.99,1.01</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>56.43</td>\n",
       "      <td>N,N,N,7=7,S@3.95,3.05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,6=6,S@6.00,0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>42.15</td>\n",
       "      <td>N,N,N,7=7,S@2.95,4.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>95.33</td>\n",
       "      <td>LOW,LOW,LOW,22=22,S@20.97,1.03</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>59.30</td>\n",
       "      <td>N,N,N,5=4,C2@2.96,2.04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,3=3,S@3.00,0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>91.44</td>\n",
       "      <td>VLOW,VLOW,VLOW,12=12,S@10.97,1.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>66.02</td>\n",
       "      <td>N,N,N,3=3,S@1.98,1.02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>19.54</td>\n",
       "      <td>N,N,N,5=5,S@0.98,4.02</td>\n",
       "      <td>79.53</td>\n",
       "      <td>LOW,LOW,LOW,25=25,S@19.88,5.12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,3=3,S@0.00,3.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,4=4,S@4.00,0.00</td>\n",
       "      <td>49.28</td>\n",
       "      <td>N,N,N,2=2,S@0.99,1.01</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,4=4,S@4.00,0.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>49.28</td>\n",
       "      <td>N,N,N,4=3,C2@1.97,2.03</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,4=4,S@4.00,0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AAK1</td>\n",
       "      <td>HsaALTA0000011-1/2</td>\n",
       "      <td>chr2:69736383-69736592</td>\n",
       "      <td>0</td>\n",
       "      <td>chr2:69741603,69736383-69736595+69736592</td>\n",
       "      <td>Alt3</td>\n",
       "      <td>77.45</td>\n",
       "      <td>OK,OK,OK,89=89,S@68.93,20.07</td>\n",
       "      <td>95.70</td>\n",
       "      <td>LOW,LOW,LOW,22=22,S@21.05,0.95</td>\n",
       "      <td>77.95</td>\n",
       "      <td>LOW,OK,LOW,39=39,S@30.40,8.60</td>\n",
       "      <td>48.23</td>\n",
       "      <td>SOK,SOK,SOK,139=139,S@67.04,71.96</td>\n",
       "      <td>58.19</td>\n",
       "      <td>LOW,LOW,LOW,37=37,S@21.53,15.47</td>\n",
       "      <td>66.04</td>\n",
       "      <td>VLOW,VLOW,VLOW,17=17,S@11.23,5.77</td>\n",
       "      <td>66.83</td>\n",
       "      <td>LOW,LOW,LOW,29=29,S@19.38,9.62</td>\n",
       "      <td>63.44</td>\n",
       "      <td>OK,OK,OK,87=87,S@55.19,31.81</td>\n",
       "      <td>74.66</td>\n",
       "      <td>SOK,SOK,SOK,102=102,S@76.15,25.85</td>\n",
       "      <td>59.00</td>\n",
       "      <td>SOK,SOK,SOK,118=116,S@69.62,48.38</td>\n",
       "      <td>49.09</td>\n",
       "      <td>OK,OK,OK,42=42,S@20.62,21.38</td>\n",
       "      <td>67.96</td>\n",
       "      <td>N,N,N,6=6,S@4.08,1.92</td>\n",
       "      <td>59.03</td>\n",
       "      <td>SOK,SOK,SOK,125=125,S@73.79,51.21</td>\n",
       "      <td>63.21</td>\n",
       "      <td>LOW,LOW,LOW,26=24,C1@16.43,9.57</td>\n",
       "      <td>32.86</td>\n",
       "      <td>LOW,LOW,LOW,38=38,S@12.49,25.51</td>\n",
       "      <td>55.30</td>\n",
       "      <td>LOW,LOW,LOW,26=26,S@14.38,11.62</td>\n",
       "      <td>53.26</td>\n",
       "      <td>LOW,LOW,LOW,27=26,S@14.38,12.62</td>\n",
       "      <td>67.27</td>\n",
       "      <td>OK,OK,OK,47=47,S@31.62,15.38</td>\n",
       "      <td>52.81</td>\n",
       "      <td>LOW,LOW,LOW,35=34,S@18.48,16.52</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,4=4,S@4.00,0.00</td>\n",
       "      <td>66.70</td>\n",
       "      <td>LOW,LOW,LOW,26=26,S@17.34,8.66</td>\n",
       "      <td>46.92</td>\n",
       "      <td>LOW,LOW,LOW,22=22,S@10.32,11.68</td>\n",
       "      <td>62.43</td>\n",
       "      <td>OK,OK,OK,77=77,S@48.07,28.93</td>\n",
       "      <td>57.04</td>\n",
       "      <td>SOK,SOK,SOK,367=366,S@209.34,157.66</td>\n",
       "      <td>84.98</td>\n",
       "      <td>VLOW,VLOW,VLOW,19=19,S@16.15,2.85</td>\n",
       "      <td>53.47</td>\n",
       "      <td>LOW,LOW,LOW,25=25,S@13.37,11.63</td>\n",
       "      <td>30.26</td>\n",
       "      <td>SOK,SOK,SOK,155=155,S@46.90,108.10</td>\n",
       "      <td>51.99</td>\n",
       "      <td>OK,OK,OK,97=97,S@50.43,46.57</td>\n",
       "      <td>66.04</td>\n",
       "      <td>SOK,SOK,SOK,119=119,S@78.59,40.41</td>\n",
       "      <td>41.42</td>\n",
       "      <td>LOW,LOW,LOW,30=30,S@12.43,17.57</td>\n",
       "      <td>55.62</td>\n",
       "      <td>LOW,LOW,LOW,24=24,S@13.35,10.65</td>\n",
       "      <td>60.70</td>\n",
       "      <td>SOK,SOK,SOK,113=113,S@68.59,44.41</td>\n",
       "      <td>57.30</td>\n",
       "      <td>SOK,SOK,SOK,111=111,S@63.60,47.40</td>\n",
       "      <td>68.42</td>\n",
       "      <td>SOK,SOK,SOK,143=143,S@97.84,45.16</td>\n",
       "      <td>53.08</td>\n",
       "      <td>LOW,LOW,LOW,31=31,S@16.45,14.55</td>\n",
       "      <td>57.00</td>\n",
       "      <td>N,N,N,9=9,S@5.13,3.87</td>\n",
       "      <td>65.52</td>\n",
       "      <td>SOK,SOK,SOK,201=201,S@131.70,69.30</td>\n",
       "      <td>49.36</td>\n",
       "      <td>OK,OK,OK,71=71,S@35.05,35.95</td>\n",
       "      <td>44.30</td>\n",
       "      <td>VLOW,VLOW,VLOW,14=14,S@6.20,7.80</td>\n",
       "      <td>63.87</td>\n",
       "      <td>LOW,LOW,LOW,24=24,S@15.33,8.67</td>\n",
       "      <td>84.13</td>\n",
       "      <td>LOW,LOW,LOW,30=30,S@25.24,4.76</td>\n",
       "      <td>73.88</td>\n",
       "      <td>LOW,LOW,LOW,22=22,S@16.25,5.75</td>\n",
       "      <td>61.26</td>\n",
       "      <td>SOK,SOK,SOK,284=278,S@173.98,110.02</td>\n",
       "      <td>64.72</td>\n",
       "      <td>SOK,SOK,SOK,202=202,S@130.73,71.27</td>\n",
       "      <td>59.49</td>\n",
       "      <td>OK,OK,OK,62=62,S@36.88,25.12</td>\n",
       "      <td>66.54</td>\n",
       "      <td>OK,OK,OK,46=46,S@30.61,15.39</td>\n",
       "      <td>54.79</td>\n",
       "      <td>VLOW,VLOW,VLOW,15=15,S@8.22,6.78</td>\n",
       "      <td>57.61</td>\n",
       "      <td>OK,OK,OK,73=73,S@42.06,30.94</td>\n",
       "      <td>58.74</td>\n",
       "      <td>SOK,SOK,SOK,349=349,S@205.00,144.00</td>\n",
       "      <td>69.03</td>\n",
       "      <td>SOK,SOK,SOK,490=490,S@338.25,151.75</td>\n",
       "      <td>65.34</td>\n",
       "      <td>SOK,SOK,SOK,100=100,S@65.34,34.66</td>\n",
       "      <td>72.28</td>\n",
       "      <td>OK,OK,OK,83=83,S@59.99,23.01</td>\n",
       "      <td>90.63</td>\n",
       "      <td>SOK,SOK,SOK,253=253,S@229.29,23.71</td>\n",
       "      <td>64.18</td>\n",
       "      <td>OK,OK,OK,78=78,S@50.06,27.94</td>\n",
       "      <td>74.12</td>\n",
       "      <td>OK,OK,OK,74=74,S@54.85,19.15</td>\n",
       "      <td>48.53</td>\n",
       "      <td>VLOW,VLOW,VLOW,17=17,S@8.25,8.75</td>\n",
       "      <td>51.47</td>\n",
       "      <td>N,N,N,4=4,S@2.06,1.94</td>\n",
       "      <td>76.09</td>\n",
       "      <td>N,N,N,8=8,S@6.09,1.91</td>\n",
       "      <td>76.09</td>\n",
       "      <td>N,N,N,4=4,S@3.04,0.96</td>\n",
       "      <td>46.39</td>\n",
       "      <td>OK,OK,OK,69=69,S@32.01,36.99</td>\n",
       "      <td>59.49</td>\n",
       "      <td>LOW,LOW,LOW,31=31,S@18.44,12.56</td>\n",
       "      <td>67.96</td>\n",
       "      <td>OK,OK,OK,48=48,S@32.62,15.38</td>\n",
       "      <td>50.53</td>\n",
       "      <td>OK,OK,OK,53=53,S@26.78,26.22</td>\n",
       "      <td>51.47</td>\n",
       "      <td>OK,OK,OK,50=50,S@25.73,24.27</td>\n",
       "      <td>64.30</td>\n",
       "      <td>SOK,SOK,SOK,143=143,S@91.95,51.05</td>\n",
       "      <td>66.13</td>\n",
       "      <td>SOK,SOK,SOK,179=179,S@118.37,60.63</td>\n",
       "      <td>59.49</td>\n",
       "      <td>OK,OK,OK,62=62,S@36.88,25.12</td>\n",
       "      <td>61.4</td>\n",
       "      <td>N,N,N,5=5,S@3.07,1.93</td>\n",
       "      <td>73.88</td>\n",
       "      <td>VLOW,VLOW,VLOW,11=11,S@8.13,2.87</td>\n",
       "      <td>78.78</td>\n",
       "      <td>VLOW,VLOW,VLOW,18=18,S@14.18,3.82</td>\n",
       "      <td>70.80</td>\n",
       "      <td>LOW,LOW,LOW,23=23,S@16.28,6.72</td>\n",
       "      <td>45.90</td>\n",
       "      <td>LOW,LOW,LOW,36=36,S@16.52,19.48</td>\n",
       "      <td>54.24</td>\n",
       "      <td>OK,OK,OK,72=72,S@39.05,32.95</td>\n",
       "      <td>63.28</td>\n",
       "      <td>SOK,SOK,SOK,105=105,S@66.44,38.56</td>\n",
       "      <td>100.0</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,4=3,C2@4.00,0.00</td>\n",
       "      <td>43.55</td>\n",
       "      <td>VLOW,VLOW,VLOW,19=19,S@8.27,10.73</td>\n",
       "      <td>29.79</td>\n",
       "      <td>N,N,N,7=7,S@2.09,4.91</td>\n",
       "      <td>70.09</td>\n",
       "      <td>SOK,SOK,SOK,260=260,S@182.23,77.77</td>\n",
       "      <td>57.00</td>\n",
       "      <td>OK,OK,OK,54=54,S@30.78,23.22</td>\n",
       "      <td>46.2</td>\n",
       "      <td>OK,OK,OK,76=76,S@35.11,40.89</td>\n",
       "      <td>52.64</td>\n",
       "      <td>SOK,SOK,SOK,299=298,S@157.39,141.61</td>\n",
       "      <td>49.04</td>\n",
       "      <td>SOK,SOK,SOK,103=103,S@50.51,52.49</td>\n",
       "      <td>70.47</td>\n",
       "      <td>LOW,OK,LOW,39=39,S@27.48,11.52</td>\n",
       "      <td>55.71</td>\n",
       "      <td>OK,OK,OK,94=94,S@52.37,41.63</td>\n",
       "      <td>58.63</td>\n",
       "      <td>SOK,SOK,SOK,285=285,S@167.10,117.90</td>\n",
       "      <td>61.45</td>\n",
       "      <td>SOK,SOK,SOK,393=393,S@241.50,151.50</td>\n",
       "      <td>59.14</td>\n",
       "      <td>SOK,SOK,SOK,402=402,S@237.74,164.26</td>\n",
       "      <td>65.45</td>\n",
       "      <td>OK,OK,OK,78=78,S@51.05,26.95</td>\n",
       "      <td>49.75</td>\n",
       "      <td>LOW,LOW,LOW,29=29,S@14.43,14.57</td>\n",
       "      <td>58.58</td>\n",
       "      <td>SOK,SOK,SOK,133=133,S@77.91,55.09</td>\n",
       "      <td>62.18</td>\n",
       "      <td>OK,OK,OK,51=51,S@31.71,19.29</td>\n",
       "      <td>81.46</td>\n",
       "      <td>SOK,SOK,SOK,180=180,S@146.63,33.37</td>\n",
       "      <td>62.66</td>\n",
       "      <td>OK,OK,OK,49=47,S@30.70,18.30</td>\n",
       "      <td>57.96</td>\n",
       "      <td>OK,OK,OK,46=46,S@26.66,19.34</td>\n",
       "      <td>78.16</td>\n",
       "      <td>LOW,LOW,LOW,35=35,S@27.36,7.64</td>\n",
       "      <td>71.62</td>\n",
       "      <td>OK,SOK,OK,98=98,S@70.19,27.81</td>\n",
       "      <td>55.88</td>\n",
       "      <td>SOK,SOK,SOK,147=147,S@82.14,64.86</td>\n",
       "      <td>51.47</td>\n",
       "      <td>LOW,LOW,LOW,26=26,S@13.38,12.62</td>\n",
       "      <td>56.18</td>\n",
       "      <td>SOK,SOK,SOK,201=201,S@112.92,88.08</td>\n",
       "      <td>53.05</td>\n",
       "      <td>SOK,SOK,SOK,285=284,S@151.19,133.81</td>\n",
       "      <td>60.91</td>\n",
       "      <td>SOK,SOK,SOK,242=242,S@147.40,94.60</td>\n",
       "      <td>60.15</td>\n",
       "      <td>SOK,SOK,SOK,126=126,S@75.79,50.21</td>\n",
       "      <td>58.18</td>\n",
       "      <td>SOK,SOK,SOK,460=460,S@267.63,192.37</td>\n",
       "      <td>58.67</td>\n",
       "      <td>SOK,SOK,SOK,442=442,S@259.32,182.68</td>\n",
       "      <td>64.54</td>\n",
       "      <td>SOK,SOK,SOK,103=101,S@66.48,36.52</td>\n",
       "      <td>70.21</td>\n",
       "      <td>OK,OK,OK,58=58,S@40.72,17.28</td>\n",
       "      <td>59.24</td>\n",
       "      <td>OK,OK,OK,64=64,S@37.91,26.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AAK1</td>\n",
       "      <td>HsaALTA0000011-2/2</td>\n",
       "      <td>chr2:69736383-69736595</td>\n",
       "      <td>3</td>\n",
       "      <td>chr2:69741603,69736383-69736595+69736592</td>\n",
       "      <td>Alt3</td>\n",
       "      <td>22.55</td>\n",
       "      <td>OK,OK,OK,89=89,S@20.07,68.93</td>\n",
       "      <td>4.30</td>\n",
       "      <td>LOW,LOW,LOW,22=22,S@0.95,21.05</td>\n",
       "      <td>22.05</td>\n",
       "      <td>LOW,OK,LOW,39=39,S@8.60,30.40</td>\n",
       "      <td>51.77</td>\n",
       "      <td>SOK,SOK,SOK,139=139,S@71.96,67.04</td>\n",
       "      <td>41.81</td>\n",
       "      <td>LOW,LOW,LOW,37=37,S@15.47,21.53</td>\n",
       "      <td>33.96</td>\n",
       "      <td>VLOW,VLOW,VLOW,17=17,S@5.77,11.23</td>\n",
       "      <td>33.17</td>\n",
       "      <td>LOW,LOW,LOW,29=29,S@9.62,19.38</td>\n",
       "      <td>36.56</td>\n",
       "      <td>OK,OK,OK,87=87,S@31.81,55.19</td>\n",
       "      <td>25.34</td>\n",
       "      <td>SOK,SOK,SOK,102=102,S@25.85,76.15</td>\n",
       "      <td>41.00</td>\n",
       "      <td>SOK,SOK,SOK,118=116,S@48.38,69.62</td>\n",
       "      <td>50.91</td>\n",
       "      <td>OK,OK,OK,42=42,S@21.38,20.62</td>\n",
       "      <td>32.04</td>\n",
       "      <td>N,N,N,6=6,S@1.92,4.08</td>\n",
       "      <td>40.97</td>\n",
       "      <td>SOK,SOK,SOK,125=125,S@51.21,73.79</td>\n",
       "      <td>36.79</td>\n",
       "      <td>LOW,LOW,LOW,26=24,C1@9.57,16.43</td>\n",
       "      <td>67.14</td>\n",
       "      <td>LOW,LOW,LOW,38=38,S@25.51,12.49</td>\n",
       "      <td>44.70</td>\n",
       "      <td>LOW,LOW,LOW,26=26,S@11.62,14.38</td>\n",
       "      <td>46.74</td>\n",
       "      <td>LOW,LOW,LOW,27=26,S@12.62,14.38</td>\n",
       "      <td>32.73</td>\n",
       "      <td>OK,OK,OK,47=47,S@15.38,31.62</td>\n",
       "      <td>47.19</td>\n",
       "      <td>LOW,LOW,LOW,35=34,S@16.52,18.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,4=4,S@0.00,4.00</td>\n",
       "      <td>33.30</td>\n",
       "      <td>LOW,LOW,LOW,26=26,S@8.66,17.34</td>\n",
       "      <td>53.08</td>\n",
       "      <td>LOW,LOW,LOW,22=22,S@11.68,10.32</td>\n",
       "      <td>37.57</td>\n",
       "      <td>OK,OK,OK,77=77,S@28.93,48.07</td>\n",
       "      <td>42.96</td>\n",
       "      <td>SOK,SOK,SOK,367=366,S@157.66,209.34</td>\n",
       "      <td>15.02</td>\n",
       "      <td>VLOW,VLOW,VLOW,19=19,S@2.85,16.15</td>\n",
       "      <td>46.53</td>\n",
       "      <td>LOW,LOW,LOW,25=25,S@11.63,13.37</td>\n",
       "      <td>69.74</td>\n",
       "      <td>SOK,SOK,SOK,155=155,S@108.10,46.90</td>\n",
       "      <td>48.01</td>\n",
       "      <td>OK,OK,OK,97=97,S@46.57,50.43</td>\n",
       "      <td>33.96</td>\n",
       "      <td>SOK,SOK,SOK,119=119,S@40.41,78.59</td>\n",
       "      <td>58.58</td>\n",
       "      <td>LOW,LOW,LOW,30=30,S@17.57,12.43</td>\n",
       "      <td>44.38</td>\n",
       "      <td>LOW,LOW,LOW,24=24,S@10.65,13.35</td>\n",
       "      <td>39.30</td>\n",
       "      <td>SOK,SOK,SOK,113=113,S@44.41,68.59</td>\n",
       "      <td>42.70</td>\n",
       "      <td>SOK,SOK,SOK,111=111,S@47.40,63.60</td>\n",
       "      <td>31.58</td>\n",
       "      <td>SOK,SOK,SOK,143=143,S@45.16,97.84</td>\n",
       "      <td>46.92</td>\n",
       "      <td>LOW,LOW,LOW,31=31,S@14.55,16.45</td>\n",
       "      <td>43.00</td>\n",
       "      <td>N,N,N,9=9,S@3.87,5.13</td>\n",
       "      <td>34.48</td>\n",
       "      <td>SOK,SOK,SOK,201=201,S@69.30,131.70</td>\n",
       "      <td>50.64</td>\n",
       "      <td>OK,OK,OK,71=71,S@35.95,35.05</td>\n",
       "      <td>55.70</td>\n",
       "      <td>VLOW,VLOW,VLOW,14=14,S@7.80,6.20</td>\n",
       "      <td>36.13</td>\n",
       "      <td>LOW,LOW,LOW,24=24,S@8.67,15.33</td>\n",
       "      <td>15.87</td>\n",
       "      <td>LOW,LOW,LOW,30=30,S@4.76,25.24</td>\n",
       "      <td>26.12</td>\n",
       "      <td>LOW,LOW,LOW,22=22,S@5.75,16.25</td>\n",
       "      <td>38.74</td>\n",
       "      <td>SOK,SOK,SOK,284=278,S@110.02,173.98</td>\n",
       "      <td>35.28</td>\n",
       "      <td>SOK,SOK,SOK,202=202,S@71.27,130.73</td>\n",
       "      <td>40.51</td>\n",
       "      <td>OK,OK,OK,62=62,S@25.12,36.88</td>\n",
       "      <td>33.46</td>\n",
       "      <td>OK,OK,OK,46=46,S@15.39,30.61</td>\n",
       "      <td>45.21</td>\n",
       "      <td>VLOW,VLOW,VLOW,15=15,S@6.78,8.22</td>\n",
       "      <td>42.39</td>\n",
       "      <td>OK,OK,OK,73=73,S@30.94,42.06</td>\n",
       "      <td>41.26</td>\n",
       "      <td>SOK,SOK,SOK,349=349,S@144.00,205.00</td>\n",
       "      <td>30.97</td>\n",
       "      <td>SOK,SOK,SOK,490=490,S@151.75,338.25</td>\n",
       "      <td>34.66</td>\n",
       "      <td>SOK,SOK,SOK,100=100,S@34.66,65.34</td>\n",
       "      <td>27.72</td>\n",
       "      <td>OK,OK,OK,83=83,S@23.01,59.99</td>\n",
       "      <td>9.37</td>\n",
       "      <td>SOK,SOK,SOK,253=253,S@23.71,229.29</td>\n",
       "      <td>35.82</td>\n",
       "      <td>OK,OK,OK,78=78,S@27.94,50.06</td>\n",
       "      <td>25.88</td>\n",
       "      <td>OK,OK,OK,74=74,S@19.15,54.85</td>\n",
       "      <td>51.47</td>\n",
       "      <td>VLOW,VLOW,VLOW,17=17,S@8.75,8.25</td>\n",
       "      <td>48.53</td>\n",
       "      <td>N,N,N,4=4,S@1.94,2.06</td>\n",
       "      <td>23.91</td>\n",
       "      <td>N,N,N,8=8,S@1.91,6.09</td>\n",
       "      <td>23.91</td>\n",
       "      <td>N,N,N,4=4,S@0.96,3.04</td>\n",
       "      <td>53.61</td>\n",
       "      <td>OK,OK,OK,69=69,S@36.99,32.01</td>\n",
       "      <td>40.51</td>\n",
       "      <td>LOW,LOW,LOW,31=31,S@12.56,18.44</td>\n",
       "      <td>32.04</td>\n",
       "      <td>OK,OK,OK,48=48,S@15.38,32.62</td>\n",
       "      <td>49.47</td>\n",
       "      <td>OK,OK,OK,53=53,S@26.22,26.78</td>\n",
       "      <td>48.53</td>\n",
       "      <td>OK,OK,OK,50=50,S@24.27,25.73</td>\n",
       "      <td>35.70</td>\n",
       "      <td>SOK,SOK,SOK,143=143,S@51.05,91.95</td>\n",
       "      <td>33.87</td>\n",
       "      <td>SOK,SOK,SOK,179=179,S@60.63,118.37</td>\n",
       "      <td>40.51</td>\n",
       "      <td>OK,OK,OK,62=62,S@25.12,36.88</td>\n",
       "      <td>38.6</td>\n",
       "      <td>N,N,N,5=5,S@1.93,3.07</td>\n",
       "      <td>26.12</td>\n",
       "      <td>VLOW,VLOW,VLOW,11=11,S@2.87,8.13</td>\n",
       "      <td>21.22</td>\n",
       "      <td>VLOW,VLOW,VLOW,18=18,S@3.82,14.18</td>\n",
       "      <td>29.20</td>\n",
       "      <td>LOW,LOW,LOW,23=23,S@6.72,16.28</td>\n",
       "      <td>54.10</td>\n",
       "      <td>LOW,LOW,LOW,36=36,S@19.48,16.52</td>\n",
       "      <td>45.76</td>\n",
       "      <td>OK,OK,OK,72=72,S@32.95,39.05</td>\n",
       "      <td>36.72</td>\n",
       "      <td>SOK,SOK,SOK,105=105,S@38.56,66.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,4=3,C2@0.00,4.00</td>\n",
       "      <td>56.45</td>\n",
       "      <td>VLOW,VLOW,VLOW,19=19,S@10.73,8.27</td>\n",
       "      <td>70.21</td>\n",
       "      <td>N,N,N,7=7,S@4.91,2.09</td>\n",
       "      <td>29.91</td>\n",
       "      <td>SOK,SOK,SOK,260=260,S@77.77,182.23</td>\n",
       "      <td>43.00</td>\n",
       "      <td>OK,OK,OK,54=54,S@23.22,30.78</td>\n",
       "      <td>53.8</td>\n",
       "      <td>OK,OK,OK,76=76,S@40.89,35.11</td>\n",
       "      <td>47.36</td>\n",
       "      <td>SOK,SOK,SOK,299=298,S@141.61,157.39</td>\n",
       "      <td>50.96</td>\n",
       "      <td>SOK,SOK,SOK,103=103,S@52.49,50.51</td>\n",
       "      <td>29.53</td>\n",
       "      <td>LOW,OK,LOW,39=39,S@11.52,27.48</td>\n",
       "      <td>44.29</td>\n",
       "      <td>OK,OK,OK,94=94,S@41.63,52.37</td>\n",
       "      <td>41.37</td>\n",
       "      <td>SOK,SOK,SOK,285=285,S@117.90,167.10</td>\n",
       "      <td>38.55</td>\n",
       "      <td>SOK,SOK,SOK,393=393,S@151.50,241.50</td>\n",
       "      <td>40.86</td>\n",
       "      <td>SOK,SOK,SOK,402=402,S@164.26,237.74</td>\n",
       "      <td>34.55</td>\n",
       "      <td>OK,OK,OK,78=78,S@26.95,51.05</td>\n",
       "      <td>50.25</td>\n",
       "      <td>LOW,LOW,LOW,29=29,S@14.57,14.43</td>\n",
       "      <td>41.42</td>\n",
       "      <td>SOK,SOK,SOK,133=133,S@55.09,77.91</td>\n",
       "      <td>37.82</td>\n",
       "      <td>OK,OK,OK,51=51,S@19.29,31.71</td>\n",
       "      <td>18.54</td>\n",
       "      <td>SOK,SOK,SOK,180=180,S@33.37,146.63</td>\n",
       "      <td>37.34</td>\n",
       "      <td>OK,OK,OK,49=47,S@18.30,30.70</td>\n",
       "      <td>42.04</td>\n",
       "      <td>OK,OK,OK,46=46,S@19.34,26.66</td>\n",
       "      <td>21.84</td>\n",
       "      <td>LOW,LOW,LOW,35=35,S@7.64,27.36</td>\n",
       "      <td>28.38</td>\n",
       "      <td>OK,SOK,OK,98=98,S@27.81,70.19</td>\n",
       "      <td>44.12</td>\n",
       "      <td>SOK,SOK,SOK,147=147,S@64.86,82.14</td>\n",
       "      <td>48.53</td>\n",
       "      <td>LOW,LOW,LOW,26=26,S@12.62,13.38</td>\n",
       "      <td>43.82</td>\n",
       "      <td>SOK,SOK,SOK,201=201,S@88.08,112.92</td>\n",
       "      <td>46.95</td>\n",
       "      <td>SOK,SOK,SOK,285=284,S@133.81,151.19</td>\n",
       "      <td>39.09</td>\n",
       "      <td>SOK,SOK,SOK,242=242,S@94.60,147.40</td>\n",
       "      <td>39.85</td>\n",
       "      <td>SOK,SOK,SOK,126=126,S@50.21,75.79</td>\n",
       "      <td>41.82</td>\n",
       "      <td>SOK,SOK,SOK,460=460,S@192.37,267.63</td>\n",
       "      <td>41.33</td>\n",
       "      <td>SOK,SOK,SOK,442=442,S@182.68,259.32</td>\n",
       "      <td>35.46</td>\n",
       "      <td>SOK,SOK,SOK,103=101,S@36.52,66.48</td>\n",
       "      <td>29.79</td>\n",
       "      <td>OK,OK,OK,58=58,S@17.28,40.72</td>\n",
       "      <td>40.76</td>\n",
       "      <td>OK,OK,OK,64=64,S@26.09,37.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AAMP</td>\n",
       "      <td>HsaALTA0000012-1/2</td>\n",
       "      <td>chr2:219134105-219134257</td>\n",
       "      <td>0</td>\n",
       "      <td>chr2:219134689,219134105-219134260+219134257</td>\n",
       "      <td>Alt3</td>\n",
       "      <td>86.36</td>\n",
       "      <td>SOK,SOK,SOK,638=638,S@550.98,87.02</td>\n",
       "      <td>87.25</td>\n",
       "      <td>SOK,SOK,SOK,1592=1592,S@1389.02,202.98</td>\n",
       "      <td>84.08</td>\n",
       "      <td>SOK,SOK,SOK,446=446,S@375.00,71.00</td>\n",
       "      <td>82.54</td>\n",
       "      <td>SOK,SOK,SOK,252=252,S@208.00,44.00</td>\n",
       "      <td>88.30</td>\n",
       "      <td>SOK,SOK,SOK,607=607,S@535.98,71.02</td>\n",
       "      <td>91.46</td>\n",
       "      <td>OK,OK,OK,82=82,S@75.00,7.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,7=7,S@7.00,0.00</td>\n",
       "      <td>88.36</td>\n",
       "      <td>SOK,SOK,SOK,481=481,S@425.01,55.99</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,9=9,S@9.00,0.00</td>\n",
       "      <td>87.12</td>\n",
       "      <td>SOK,SOK,SOK,520=520,S@453.02,66.98</td>\n",
       "      <td>87.04</td>\n",
       "      <td>SOK,SOK,SOK,247=247,S@214.99,32.01</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>93.07</td>\n",
       "      <td>SOK,SOK,SOK,202=202,S@188.00,14.00</td>\n",
       "      <td>88.54</td>\n",
       "      <td>SOK,SOK,SOK,349=349,S@309.00,40.00</td>\n",
       "      <td>86.00</td>\n",
       "      <td>SOK,SOK,SOK,1157=1156,S@995.02,161.98</td>\n",
       "      <td>88.73</td>\n",
       "      <td>SOK,SOK,SOK,932=931,S@826.96,105.04</td>\n",
       "      <td>84.21</td>\n",
       "      <td>SOK,SOK,SOK,589=589,S@496.00,93.00</td>\n",
       "      <td>91.41</td>\n",
       "      <td>SOK,SOK,SOK,1118=1118,S@1021.96,96.04</td>\n",
       "      <td>88.61</td>\n",
       "      <td>SOK,SOK,SOK,1176=1176,S@1042.05,133.95</td>\n",
       "      <td>90.95</td>\n",
       "      <td>SOK,SOK,SOK,453=453,S@412.00,41.00</td>\n",
       "      <td>84.34</td>\n",
       "      <td>SOK,SOK,SOK,2739=2738,S@2310.07,428.93</td>\n",
       "      <td>90.30</td>\n",
       "      <td>SOK,SOK,SOK,134=134,S@121.00,13.00</td>\n",
       "      <td>87.99</td>\n",
       "      <td>SOK,SOK,SOK,608=608,S@534.98,73.02</td>\n",
       "      <td>87.44</td>\n",
       "      <td>SOK,SOK,SOK,1465=1465,S@1281.00,184.00</td>\n",
       "      <td>84.40</td>\n",
       "      <td>SOK,SOK,SOK,109=109,S@92.00,17.00</td>\n",
       "      <td>85.64</td>\n",
       "      <td>SOK,SOK,SOK,557=557,S@477.01,79.99</td>\n",
       "      <td>84.29</td>\n",
       "      <td>SOK,SOK,SOK,210=210,S@177.01,32.99</td>\n",
       "      <td>64.46</td>\n",
       "      <td>SOK,SOK,SOK,121=121,S@78.00,43.00</td>\n",
       "      <td>89.20</td>\n",
       "      <td>SOK,SOK,SOK,435=435,S@388.02,46.98</td>\n",
       "      <td>94.84</td>\n",
       "      <td>SOK,SOK,SOK,155=155,S@147.00,8.00</td>\n",
       "      <td>89.61</td>\n",
       "      <td>SOK,SOK,SOK,770=770,S@690.00,80.00</td>\n",
       "      <td>84.59</td>\n",
       "      <td>SOK,SOK,SOK,1395=1394,S@1180.03,214.97</td>\n",
       "      <td>87.43</td>\n",
       "      <td>SOK,SOK,SOK,573=573,S@500.97,72.03</td>\n",
       "      <td>88.49</td>\n",
       "      <td>SOK,SOK,SOK,617=615,S@545.98,71.02</td>\n",
       "      <td>86.58</td>\n",
       "      <td>SOK,SOK,SOK,298=298,S@258.01,39.99</td>\n",
       "      <td>89.74</td>\n",
       "      <td>SOK,SOK,SOK,1267=1266,S@1137.01,129.99</td>\n",
       "      <td>89.66</td>\n",
       "      <td>SOK,SOK,SOK,9077=9075,S@8138.44,938.56</td>\n",
       "      <td>89.98</td>\n",
       "      <td>SOK,SOK,SOK,3065=3064,S@2757.89,307.11</td>\n",
       "      <td>88.46</td>\n",
       "      <td>SOK,SOK,SOK,1421=1419,S@1257.02,163.98</td>\n",
       "      <td>89.83</td>\n",
       "      <td>SOK,SOK,SOK,1318=1318,S@1183.96,134.04</td>\n",
       "      <td>89.45</td>\n",
       "      <td>SOK,SOK,SOK,1394=1394,S@1246.93,147.07</td>\n",
       "      <td>93.94</td>\n",
       "      <td>OK,OK,OK,66=66,S@62.00,4.00</td>\n",
       "      <td>88.50</td>\n",
       "      <td>SOK,SOK,SOK,339=339,S@300.01,38.98</td>\n",
       "      <td>89.66</td>\n",
       "      <td>SOK,SOK,SOK,145=145,S@130.01,14.99</td>\n",
       "      <td>90.91</td>\n",
       "      <td>SOK,SOK,SOK,429=429,S@390.00,39.00</td>\n",
       "      <td>85.31</td>\n",
       "      <td>SOK,SOK,SOK,572=572,S@487.97,84.03</td>\n",
       "      <td>89.66</td>\n",
       "      <td>SOK,SOK,SOK,1548=1548,S@1387.94,160.06</td>\n",
       "      <td>86.01</td>\n",
       "      <td>SOK,SOK,SOK,286=286,S@245.99,40.01</td>\n",
       "      <td>79.77</td>\n",
       "      <td>SOK,SOK,SOK,173=173,S@138.00,35.00</td>\n",
       "      <td>89.47</td>\n",
       "      <td>SOK,SOK,SOK,266=265,S@237.99,28.01</td>\n",
       "      <td>88.80</td>\n",
       "      <td>SOK,SOK,SOK,241=241,S@214.01,26.99</td>\n",
       "      <td>89.19</td>\n",
       "      <td>SOK,SOK,SOK,296=296,S@264.00,32.00</td>\n",
       "      <td>91.08</td>\n",
       "      <td>SOK,SOK,SOK,1088=1088,S@990.95,97.05</td>\n",
       "      <td>86.53</td>\n",
       "      <td>SOK,SOK,SOK,876=876,S@758.00,118.00</td>\n",
       "      <td>86.11</td>\n",
       "      <td>SOK,SOK,SOK,1037=1037,S@892.96,144.04</td>\n",
       "      <td>85.71</td>\n",
       "      <td>SOK,SOK,SOK,161=161,S@137.99,23.01</td>\n",
       "      <td>86.19</td>\n",
       "      <td>SOK,SOK,SOK,181=181,S@156.00,25.00</td>\n",
       "      <td>87.80</td>\n",
       "      <td>SOK,SOK,SOK,295=295,S@259.01,35.99</td>\n",
       "      <td>84.44</td>\n",
       "      <td>SOK,SOK,SOK,347=347,S@293.01,53.99</td>\n",
       "      <td>90.64</td>\n",
       "      <td>SOK,SOK,SOK,299=299,S@271.01,27.99</td>\n",
       "      <td>88.58</td>\n",
       "      <td>SOK,SOK,SOK,692=692,S@612.97,79.03</td>\n",
       "      <td>88.41</td>\n",
       "      <td>SOK,SOK,SOK,1277=1277,S@1129.00,148.00</td>\n",
       "      <td>89.70</td>\n",
       "      <td>SOK,SOK,SOK,592=591,S@531.02,60.98</td>\n",
       "      <td>89.61</td>\n",
       "      <td>SOK,SOK,SOK,847=847,S@759.00,88.00</td>\n",
       "      <td>85.00</td>\n",
       "      <td>OK,OK,OK,40=40,S@34.00,6.00</td>\n",
       "      <td>87.85</td>\n",
       "      <td>SOK,SOK,SOK,354=354,S@310.99,43.01</td>\n",
       "      <td>86.82</td>\n",
       "      <td>SOK,SOK,SOK,387=387,S@335.99,51.01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>N,N,N,3=3,S@3.00,0.00</td>\n",
       "      <td>85.50</td>\n",
       "      <td>SOK,SOK,SOK,200=200,S@171.00,29.00</td>\n",
       "      <td>88.09</td>\n",
       "      <td>SOK,SOK,SOK,470=470,S@414.02,55.98</td>\n",
       "      <td>90.11</td>\n",
       "      <td>SOK,SOK,SOK,435=435,S@391.98,43.02</td>\n",
       "      <td>87.77</td>\n",
       "      <td>SOK,SOK,SOK,376=376,S@330.02,45.98</td>\n",
       "      <td>87.89</td>\n",
       "      <td>SOK,SOK,SOK,421=421,S@370.02,50.98</td>\n",
       "      <td>86.57</td>\n",
       "      <td>SOK,SOK,SOK,417=417,S@361.00,56.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,2=2,S@2.00,0.00</td>\n",
       "      <td>89.19</td>\n",
       "      <td>SOK,SOK,SOK,370=370,S@330.00,40.00</td>\n",
       "      <td>91.16</td>\n",
       "      <td>SOK,SOK,SOK,1425=1425,S@1299.03,125.97</td>\n",
       "      <td>90.59</td>\n",
       "      <td>SOK,SOK,SOK,457=457,S@414.00,43.00</td>\n",
       "      <td>88.20</td>\n",
       "      <td>SOK,SOK,SOK,1178=1178,S@1039.00,139.00</td>\n",
       "      <td>90.6</td>\n",
       "      <td>SOK,SOK,SOK,149=149,S@134.99,14.01</td>\n",
       "      <td>88.36</td>\n",
       "      <td>SOK,SOK,SOK,670=670,S@592.01,77.99</td>\n",
       "      <td>92.93</td>\n",
       "      <td>SOK,SOK,SOK,523=523,S@486.02,36.98</td>\n",
       "      <td>88.21</td>\n",
       "      <td>SOK,SOK,SOK,526=526,S@463.98,62.02</td>\n",
       "      <td>87.11</td>\n",
       "      <td>SOK,SOK,SOK,1272=1272,S@1108.04,163.96</td>\n",
       "      <td>90.30</td>\n",
       "      <td>SOK,SOK,SOK,330=330,S@297.99,32.01</td>\n",
       "      <td>86.61</td>\n",
       "      <td>SOK,SOK,SOK,1158=1157,S@1002.94,155.06</td>\n",
       "      <td>91.95</td>\n",
       "      <td>SOK,SOK,SOK,1118=1118,S@1028.00,90.00</td>\n",
       "      <td>89.76</td>\n",
       "      <td>SOK,SOK,SOK,381=381,S@341.99,39.01</td>\n",
       "      <td>86.55</td>\n",
       "      <td>SOK,SOK,SOK,736=736,S@637.01,98.99</td>\n",
       "      <td>82.08</td>\n",
       "      <td>SOK,SOK,SOK,279=279,S@229.00,50.00</td>\n",
       "      <td>88.10</td>\n",
       "      <td>SOK,SOK,SOK,630=630,S@555.03,74.97</td>\n",
       "      <td>15.49</td>\n",
       "      <td>SOK,SOK,SOK,568=568,S@87.98,480.02</td>\n",
       "      <td>86.94</td>\n",
       "      <td>SOK,SOK,SOK,1034=1034,S@898.96,135.04</td>\n",
       "      <td>90.37</td>\n",
       "      <td>SOK,SOK,SOK,218=218,S@197.01,20.99</td>\n",
       "      <td>90.01</td>\n",
       "      <td>SOK,SOK,SOK,831=831,S@747.98,83.02</td>\n",
       "      <td>90.25</td>\n",
       "      <td>SOK,SOK,SOK,236=236,S@212.99,23.01</td>\n",
       "      <td>88.64</td>\n",
       "      <td>SOK,SOK,SOK,1408=1408,S@1248.05,159.95</td>\n",
       "      <td>88.17</td>\n",
       "      <td>SOK,SOK,SOK,169=169,S@149.01,19.99</td>\n",
       "      <td>83.52</td>\n",
       "      <td>SOK,SOK,SOK,261=261,S@217.99,43.01</td>\n",
       "      <td>92.41</td>\n",
       "      <td>SOK,SOK,SOK,224=224,S@207.00,17.00</td>\n",
       "      <td>88.10</td>\n",
       "      <td>SOK,SOK,SOK,891=891,S@784.97,106.03</td>\n",
       "      <td>87.64</td>\n",
       "      <td>SOK,SOK,SOK,1408=1408,S@1233.97,174.03</td>\n",
       "      <td>86.46</td>\n",
       "      <td>SOK,SOK,SOK,1056=1056,S@913.02,142.98</td>\n",
       "      <td>89.44</td>\n",
       "      <td>SOK,SOK,SOK,1184=1184,S@1058.97,125.03</td>\n",
       "      <td>89.80</td>\n",
       "      <td>SOK,SOK,SOK,441=441,S@396.02,44.98</td>\n",
       "      <td>90.87</td>\n",
       "      <td>SOK,SOK,SOK,898=898,S@816.01,81.99</td>\n",
       "      <td>91.93</td>\n",
       "      <td>SOK,SOK,SOK,1140=1139,S@1048.00,92.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AAMP</td>\n",
       "      <td>HsaALTA0000012-2/2</td>\n",
       "      <td>chr2:219134105-219134260</td>\n",
       "      <td>3</td>\n",
       "      <td>chr2:219134689,219134105-219134260+219134257</td>\n",
       "      <td>Alt3</td>\n",
       "      <td>13.64</td>\n",
       "      <td>SOK,SOK,SOK,638=638,S@87.02,550.98</td>\n",
       "      <td>12.75</td>\n",
       "      <td>SOK,SOK,SOK,1592=1592,S@202.98,1389.02</td>\n",
       "      <td>15.92</td>\n",
       "      <td>SOK,SOK,SOK,446=446,S@71.00,375.00</td>\n",
       "      <td>17.46</td>\n",
       "      <td>SOK,SOK,SOK,252=252,S@44.00,208.00</td>\n",
       "      <td>11.70</td>\n",
       "      <td>SOK,SOK,SOK,607=607,S@71.02,535.98</td>\n",
       "      <td>8.54</td>\n",
       "      <td>OK,OK,OK,82=82,S@7.00,75.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,7=7,S@0.00,7.00</td>\n",
       "      <td>11.64</td>\n",
       "      <td>SOK,SOK,SOK,481=481,S@55.99,425.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,9=9,S@0.00,9.00</td>\n",
       "      <td>12.88</td>\n",
       "      <td>SOK,SOK,SOK,520=520,S@66.98,453.02</td>\n",
       "      <td>12.96</td>\n",
       "      <td>SOK,SOK,SOK,247=247,S@32.01,214.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,1=1,S@0,0</td>\n",
       "      <td>6.93</td>\n",
       "      <td>SOK,SOK,SOK,202=202,S@14.00,188.00</td>\n",
       "      <td>11.46</td>\n",
       "      <td>SOK,SOK,SOK,349=349,S@40.00,309.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>SOK,SOK,SOK,1157=1156,S@161.98,995.02</td>\n",
       "      <td>11.27</td>\n",
       "      <td>SOK,SOK,SOK,932=931,S@105.04,826.96</td>\n",
       "      <td>15.79</td>\n",
       "      <td>SOK,SOK,SOK,589=589,S@93.00,496.00</td>\n",
       "      <td>8.59</td>\n",
       "      <td>SOK,SOK,SOK,1118=1118,S@96.04,1021.96</td>\n",
       "      <td>11.39</td>\n",
       "      <td>SOK,SOK,SOK,1176=1176,S@133.95,1042.05</td>\n",
       "      <td>9.05</td>\n",
       "      <td>SOK,SOK,SOK,453=453,S@41.00,412.00</td>\n",
       "      <td>15.66</td>\n",
       "      <td>SOK,SOK,SOK,2739=2738,S@428.93,2310.07</td>\n",
       "      <td>9.70</td>\n",
       "      <td>SOK,SOK,SOK,134=134,S@13.00,121.00</td>\n",
       "      <td>12.01</td>\n",
       "      <td>SOK,SOK,SOK,608=608,S@73.02,534.98</td>\n",
       "      <td>12.56</td>\n",
       "      <td>SOK,SOK,SOK,1465=1465,S@184.00,1281.00</td>\n",
       "      <td>15.60</td>\n",
       "      <td>SOK,SOK,SOK,109=109,S@17.00,92.00</td>\n",
       "      <td>14.36</td>\n",
       "      <td>SOK,SOK,SOK,557=557,S@79.99,477.01</td>\n",
       "      <td>15.71</td>\n",
       "      <td>SOK,SOK,SOK,210=210,S@32.99,177.01</td>\n",
       "      <td>35.54</td>\n",
       "      <td>SOK,SOK,SOK,121=121,S@43.00,78.00</td>\n",
       "      <td>10.80</td>\n",
       "      <td>SOK,SOK,SOK,435=435,S@46.98,388.02</td>\n",
       "      <td>5.16</td>\n",
       "      <td>SOK,SOK,SOK,155=155,S@8.00,147.00</td>\n",
       "      <td>10.39</td>\n",
       "      <td>SOK,SOK,SOK,770=770,S@80.00,690.00</td>\n",
       "      <td>15.41</td>\n",
       "      <td>SOK,SOK,SOK,1395=1394,S@214.97,1180.03</td>\n",
       "      <td>12.57</td>\n",
       "      <td>SOK,SOK,SOK,573=573,S@72.03,500.97</td>\n",
       "      <td>11.51</td>\n",
       "      <td>SOK,SOK,SOK,617=615,S@71.02,545.98</td>\n",
       "      <td>13.42</td>\n",
       "      <td>SOK,SOK,SOK,298=298,S@39.99,258.01</td>\n",
       "      <td>10.26</td>\n",
       "      <td>SOK,SOK,SOK,1267=1266,S@129.99,1137.01</td>\n",
       "      <td>10.34</td>\n",
       "      <td>SOK,SOK,SOK,9077=9075,S@938.56,8138.44</td>\n",
       "      <td>10.02</td>\n",
       "      <td>SOK,SOK,SOK,3065=3064,S@307.11,2757.89</td>\n",
       "      <td>11.54</td>\n",
       "      <td>SOK,SOK,SOK,1421=1419,S@163.98,1257.02</td>\n",
       "      <td>10.17</td>\n",
       "      <td>SOK,SOK,SOK,1318=1318,S@134.04,1183.96</td>\n",
       "      <td>10.55</td>\n",
       "      <td>SOK,SOK,SOK,1394=1394,S@147.07,1246.93</td>\n",
       "      <td>6.06</td>\n",
       "      <td>OK,OK,OK,66=66,S@4.00,62.00</td>\n",
       "      <td>11.50</td>\n",
       "      <td>SOK,SOK,SOK,339=339,S@38.98,300.01</td>\n",
       "      <td>10.34</td>\n",
       "      <td>SOK,SOK,SOK,145=145,S@14.99,130.01</td>\n",
       "      <td>9.09</td>\n",
       "      <td>SOK,SOK,SOK,429=429,S@39.00,390.00</td>\n",
       "      <td>14.69</td>\n",
       "      <td>SOK,SOK,SOK,572=572,S@84.03,487.97</td>\n",
       "      <td>10.34</td>\n",
       "      <td>SOK,SOK,SOK,1548=1548,S@160.06,1387.94</td>\n",
       "      <td>13.99</td>\n",
       "      <td>SOK,SOK,SOK,286=286,S@40.01,245.99</td>\n",
       "      <td>20.23</td>\n",
       "      <td>SOK,SOK,SOK,173=173,S@35.00,138.00</td>\n",
       "      <td>10.53</td>\n",
       "      <td>SOK,SOK,SOK,266=265,S@28.01,237.99</td>\n",
       "      <td>11.20</td>\n",
       "      <td>SOK,SOK,SOK,241=241,S@26.99,214.01</td>\n",
       "      <td>10.81</td>\n",
       "      <td>SOK,SOK,SOK,296=296,S@32.00,264.00</td>\n",
       "      <td>8.92</td>\n",
       "      <td>SOK,SOK,SOK,1088=1088,S@97.05,990.95</td>\n",
       "      <td>13.47</td>\n",
       "      <td>SOK,SOK,SOK,876=876,S@118.00,758.00</td>\n",
       "      <td>13.89</td>\n",
       "      <td>SOK,SOK,SOK,1037=1037,S@144.04,892.96</td>\n",
       "      <td>14.29</td>\n",
       "      <td>SOK,SOK,SOK,161=161,S@23.01,137.99</td>\n",
       "      <td>13.81</td>\n",
       "      <td>SOK,SOK,SOK,181=181,S@25.00,156.00</td>\n",
       "      <td>12.20</td>\n",
       "      <td>SOK,SOK,SOK,295=295,S@35.99,259.01</td>\n",
       "      <td>15.56</td>\n",
       "      <td>SOK,SOK,SOK,347=347,S@53.99,293.01</td>\n",
       "      <td>9.36</td>\n",
       "      <td>SOK,SOK,SOK,299=299,S@27.99,271.01</td>\n",
       "      <td>11.42</td>\n",
       "      <td>SOK,SOK,SOK,692=692,S@79.03,612.97</td>\n",
       "      <td>11.59</td>\n",
       "      <td>SOK,SOK,SOK,1277=1277,S@148.00,1129.00</td>\n",
       "      <td>10.30</td>\n",
       "      <td>SOK,SOK,SOK,592=591,S@60.98,531.02</td>\n",
       "      <td>10.39</td>\n",
       "      <td>SOK,SOK,SOK,847=847,S@88.00,759.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>OK,OK,OK,40=40,S@6.00,34.00</td>\n",
       "      <td>12.15</td>\n",
       "      <td>SOK,SOK,SOK,354=354,S@43.01,310.99</td>\n",
       "      <td>13.18</td>\n",
       "      <td>SOK,SOK,SOK,387=387,S@51.01,335.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N,N,N,3=3,S@0.00,3.00</td>\n",
       "      <td>14.50</td>\n",
       "      <td>SOK,SOK,SOK,200=200,S@29.00,171.00</td>\n",
       "      <td>11.91</td>\n",
       "      <td>SOK,SOK,SOK,470=470,S@55.98,414.02</td>\n",
       "      <td>9.89</td>\n",
       "      <td>SOK,SOK,SOK,435=435,S@43.02,391.98</td>\n",
       "      <td>12.23</td>\n",
       "      <td>SOK,SOK,SOK,376=376,S@45.98,330.02</td>\n",
       "      <td>12.11</td>\n",
       "      <td>SOK,SOK,SOK,421=421,S@50.98,370.02</td>\n",
       "      <td>13.43</td>\n",
       "      <td>SOK,SOK,SOK,417=417,S@56.00,361.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,2=2,S@0.00,2.00</td>\n",
       "      <td>10.81</td>\n",
       "      <td>SOK,SOK,SOK,370=370,S@40.00,330.00</td>\n",
       "      <td>8.84</td>\n",
       "      <td>SOK,SOK,SOK,1425=1425,S@125.97,1299.03</td>\n",
       "      <td>9.41</td>\n",
       "      <td>SOK,SOK,SOK,457=457,S@43.00,414.00</td>\n",
       "      <td>11.80</td>\n",
       "      <td>SOK,SOK,SOK,1178=1178,S@139.00,1039.00</td>\n",
       "      <td>9.4</td>\n",
       "      <td>SOK,SOK,SOK,149=149,S@14.01,134.99</td>\n",
       "      <td>11.64</td>\n",
       "      <td>SOK,SOK,SOK,670=670,S@77.99,592.01</td>\n",
       "      <td>7.07</td>\n",
       "      <td>SOK,SOK,SOK,523=523,S@36.98,486.02</td>\n",
       "      <td>11.79</td>\n",
       "      <td>SOK,SOK,SOK,526=526,S@62.02,463.98</td>\n",
       "      <td>12.89</td>\n",
       "      <td>SOK,SOK,SOK,1272=1272,S@163.96,1108.04</td>\n",
       "      <td>9.70</td>\n",
       "      <td>SOK,SOK,SOK,330=330,S@32.01,297.99</td>\n",
       "      <td>13.39</td>\n",
       "      <td>SOK,SOK,SOK,1158=1157,S@155.06,1002.94</td>\n",
       "      <td>8.05</td>\n",
       "      <td>SOK,SOK,SOK,1118=1118,S@90.00,1028.00</td>\n",
       "      <td>10.24</td>\n",
       "      <td>SOK,SOK,SOK,381=381,S@39.01,341.99</td>\n",
       "      <td>13.45</td>\n",
       "      <td>SOK,SOK,SOK,736=736,S@98.99,637.01</td>\n",
       "      <td>17.92</td>\n",
       "      <td>SOK,SOK,SOK,279=279,S@50.00,229.00</td>\n",
       "      <td>11.90</td>\n",
       "      <td>SOK,SOK,SOK,630=630,S@74.97,555.03</td>\n",
       "      <td>84.51</td>\n",
       "      <td>SOK,SOK,SOK,568=568,S@480.02,87.98</td>\n",
       "      <td>13.06</td>\n",
       "      <td>SOK,SOK,SOK,1034=1034,S@135.04,898.96</td>\n",
       "      <td>9.63</td>\n",
       "      <td>SOK,SOK,SOK,218=218,S@20.99,197.01</td>\n",
       "      <td>9.99</td>\n",
       "      <td>SOK,SOK,SOK,831=831,S@83.02,747.98</td>\n",
       "      <td>9.75</td>\n",
       "      <td>SOK,SOK,SOK,236=236,S@23.01,212.99</td>\n",
       "      <td>11.36</td>\n",
       "      <td>SOK,SOK,SOK,1408=1408,S@159.95,1248.05</td>\n",
       "      <td>11.83</td>\n",
       "      <td>SOK,SOK,SOK,169=169,S@19.99,149.01</td>\n",
       "      <td>16.48</td>\n",
       "      <td>SOK,SOK,SOK,261=261,S@43.01,217.99</td>\n",
       "      <td>7.59</td>\n",
       "      <td>SOK,SOK,SOK,224=224,S@17.00,207.00</td>\n",
       "      <td>11.90</td>\n",
       "      <td>SOK,SOK,SOK,891=891,S@106.03,784.97</td>\n",
       "      <td>12.36</td>\n",
       "      <td>SOK,SOK,SOK,1408=1408,S@174.03,1233.97</td>\n",
       "      <td>13.54</td>\n",
       "      <td>SOK,SOK,SOK,1056=1056,S@142.98,913.02</td>\n",
       "      <td>10.56</td>\n",
       "      <td>SOK,SOK,SOK,1184=1184,S@125.03,1058.97</td>\n",
       "      <td>10.20</td>\n",
       "      <td>SOK,SOK,SOK,441=441,S@44.98,396.02</td>\n",
       "      <td>9.13</td>\n",
       "      <td>SOK,SOK,SOK,898=898,S@81.99,816.01</td>\n",
       "      <td>8.07</td>\n",
       "      <td>SOK,SOK,SOK,1140=1139,S@92.00,1048.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>PTGES3L-AARSD1</td>\n",
       "      <td>HsaALTA0000019-1/2</td>\n",
       "      <td>chr17:41108431-41108521</td>\n",
       "      <td>0</td>\n",
       "      <td>chr17:41109155,41108431-41108577+41108521</td>\n",
       "      <td>Alt3</td>\n",
       "      <td>1.04</td>\n",
       "      <td>OK,OK,OK,96=96,S@1.00,95.00</td>\n",
       "      <td>5.88</td>\n",
       "      <td>LOW,LOW,LOW,34=34,S@2.00,32.00</td>\n",
       "      <td>2.89</td>\n",
       "      <td>SOK,SOK,SOK,173=173,S@5.00,168.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>OK,OK,OK,75=75,S@6.00,69.00</td>\n",
       "      <td>9.26</td>\n",
       "      <td>SOK,SOK,SOK,108=108,S@10.00,98.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>LOW,LOW,LOW,25=25,S@0.00,25.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,6=6,S@0.00,6.00</td>\n",
       "      <td>4.22</td>\n",
       "      <td>SOK,SOK,SOK,379=379,S@15.99,363.01</td>\n",
       "      <td>28.00</td>\n",
       "      <td>LOW,LOW,LOW,25=25,S@7.00,18.00</td>\n",
       "      <td>8.47</td>\n",
       "      <td>SOK,SOK,SOK,236=235,S@19.99,216.01</td>\n",
       "      <td>23.44</td>\n",
       "      <td>SOK,SOK,SOK,128=128,S@30.00,98.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>N,N,N,4=4,S@0.00,4.00</td>\n",
       "      <td>2.70</td>\n",
       "      <td>OK,OK,OK,74=74,S@2.00,72.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>SOK,SOK,SOK,129=129,S@0.00,129.00</td>\n",
       "      <td>3.48</td>\n",
       "      <td>SOK,SOK,SOK,230=230,S@8.00,222.00</td>\n",
       "      <td>3.61</td>\n",
       "      <td>SOK,SOK,SOK,388=388,S@14.01,373.99</td>\n",
       "      <td>2.55</td>\n",
       "      <td>SOK,SOK,SOK,235=235,S@5.99,229.01</td>\n",
       "      <td>1.95</td>\n",
       "      <td>SOK,SOK,SOK,613=612,S@11.95,601.05</td>\n",
       "      <td>2.36</td>\n",
       "      <td>SOK,SOK,SOK,254=254,S@5.99,248.01</td>\n",
       "      <td>1.53</td>\n",
       "      <td>SOK,SOK,SOK,261=259,S@3.99,257.01</td>\n",
       "      <td>1.54</td>\n",
       "      <td>SOK,SOK,SOK,456=456,S@7.02,448.98</td>\n",
       "      <td>0.00</td>\n",
       "      <td>OK,OK,OK,45=45,S@0.00,45.00</td>\n",
       "      <td>2.66</td>\n",
       "      <td>SOK,SOK,SOK,262=261,S@6.97,255.03</td>\n",
       "      <td>2.36</td>\n",
       "      <td>SOK,SOK,SOK,339=339,S@8.00,331.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>OK,OK,OK,46=46,S@0.00,46.00</td>\n",
       "      <td>2.67</td>\n",
       "      <td>OK,OK,OK,75=75,S@2.00,73.00</td>\n",
       "      <td>1.75</td>\n",
       "      <td>SOK,SOK,SOK,114=114,S@2.00,112.01</td>\n",
       "      <td>20.00</td>\n",
       "      <td>LOW,LOW,LOW,25=25,S@5.00,20.00</td>\n",
       "      <td>0.32</td>\n",
       "      <td>SOK,SOK,SOK,312=312,S@1.00,311.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>LOW,LOW,LOW,20=20,S@0.00,20.00</td>\n",
       "      <td>1.18</td>\n",
       "      <td>SOK,SOK,SOK,340=340,S@4.01,335.99</td>\n",
       "      <td>1.81</td>\n",
       "      <td>SOK,SOK,SOK,443=443,S@8.02,434.98</td>\n",
       "      <td>0.00</td>\n",
       "      <td>SOK,SOK,SOK,119=119,S@0.00,119.00</td>\n",
       "      <td>1.67</td>\n",
       "      <td>SOK,SOK,SOK,120=120,S@2.00,118.00</td>\n",
       "      <td>0.58</td>\n",
       "      <td>SOK,SOK,SOK,172=171,S@1.00,171.00</td>\n",
       "      <td>3.55</td>\n",
       "      <td>SOK,SOK,SOK,112=111,S@3.98,108.02</td>\n",
       "      <td>2.61</td>\n",
       "      <td>SOK,SOK,SOK,2875=2874,S@75.04,2799.96</td>\n",
       "      <td>3.90</td>\n",
       "      <td>SOK,SOK,SOK,1050=1049,S@40.95,1009.05</td>\n",
       "      <td>4.14</td>\n",
       "      <td>SOK,SOK,SOK,290=290,S@12.01,277.99</td>\n",
       "      <td>5.96</td>\n",
       "      <td>SOK,SOK,SOK,302=302,S@18.00,284.00</td>\n",
       "      <td>5.63</td>\n",
       "      <td>SOK,SOK,SOK,373=373,S@21.00,352.00</td>\n",
       "      <td>3.23</td>\n",
       "      <td>LOW,LOW,LOW,31=31,S@1.00,30.00</td>\n",
       "      <td>11.90</td>\n",
       "      <td>OK,OK,OK,84=84,S@10.00,74.00</td>\n",
       "      <td>1.72</td>\n",
       "      <td>OK,OK,OK,58=58,S@1.00,57.00</td>\n",
       "      <td>1.10</td>\n",
       "      <td>SOK,SOK,SOK,181=181,S@1.99,179.01</td>\n",
       "      <td>0.52</td>\n",
       "      <td>SOK,SOK,SOK,193=193,S@1.00,192.00</td>\n",
       "      <td>1.76</td>\n",
       "      <td>SOK,SOK,SOK,510=510,S@8.98,501.02</td>\n",
       "      <td>7.37</td>\n",
       "      <td>SOK,SOK,SOK,190=190,S@14.00,176.00</td>\n",
       "      <td>11.36</td>\n",
       "      <td>OK,OK,OK,88=88,S@10.00,78.00</td>\n",
       "      <td>1.54</td>\n",
       "      <td>SOK,SOK,SOK,325=325,S@5.00,320.00</td>\n",
       "      <td>8.29</td>\n",
       "      <td>SOK,SOK,SOK,201=200,C1@16.66,184.34</td>\n",
       "      <td>2.06</td>\n",
       "      <td>SOK,SOK,SOK,194=194,S@4.00,190.00</td>\n",
       "      <td>9.23</td>\n",
       "      <td>OK,OK,OK,65=65,S@6.00,59.00</td>\n",
       "      <td>3.45</td>\n",
       "      <td>SOK,SOK,SOK,174=174,S@6.00,168.00</td>\n",
       "      <td>10.28</td>\n",
       "      <td>SOK,SOK,SOK,107=107,S@11.00,96.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>LOW,LOW,LOW,24=24,S@0.00,24.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>OK,OK,OK,81=81,S@0.00,81.00</td>\n",
       "      <td>1.74</td>\n",
       "      <td>SOK,SOK,SOK,115=115,S@2.00,113.00</td>\n",
       "      <td>10.26</td>\n",
       "      <td>LOW,OK,LOW,39=39,S@4.00,35.00</td>\n",
       "      <td>6.78</td>\n",
       "      <td>OK,OK,OK,59=59,S@4.00,55.00</td>\n",
       "      <td>11.30</td>\n",
       "      <td>SOK,SOK,SOK,177=177,S@20.00,157.00</td>\n",
       "      <td>4.95</td>\n",
       "      <td>SOK,SOK,SOK,202=202,S@10.00,192.00</td>\n",
       "      <td>7.84</td>\n",
       "      <td>SOK,SOK,SOK,204=204,S@15.99,188.01</td>\n",
       "      <td>10.04</td>\n",
       "      <td>SOK,SOK,SOK,223=221,C1@22.39,200.61</td>\n",
       "      <td>30.95</td>\n",
       "      <td>OK,OK,OK,42=42,S@13.00,29.00</td>\n",
       "      <td>0.78</td>\n",
       "      <td>SOK,SOK,SOK,129=129,S@1.01,127.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>OK,OK,OK,47=47,S@0.00,47.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>0.48</td>\n",
       "      <td>SOK,SOK,SOK,209=209,S@1.00,208.00</td>\n",
       "      <td>1.73</td>\n",
       "      <td>SOK,SOK,SOK,173=173,S@2.99,170.01</td>\n",
       "      <td>1.89</td>\n",
       "      <td>SOK,SOK,SOK,317=317,S@5.99,311.01</td>\n",
       "      <td>2.83</td>\n",
       "      <td>SOK,SOK,SOK,106=106,S@3.00,103.00</td>\n",
       "      <td>1.82</td>\n",
       "      <td>SOK,SOK,SOK,110=110,S@2.00,108.00</td>\n",
       "      <td>2.59</td>\n",
       "      <td>SOK,SOK,SOK,116=116,S@3.00,113.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>16.67</td>\n",
       "      <td>N,N,N,6=6,S@1.00,5.00</td>\n",
       "      <td>1.29</td>\n",
       "      <td>SOK,SOK,SOK,155=155,S@2.00,153.00</td>\n",
       "      <td>4.73</td>\n",
       "      <td>SOK,SOK,SOK,275=275,S@13.01,261.99</td>\n",
       "      <td>5.34</td>\n",
       "      <td>SOK,SOK,SOK,131=131,S@7.00,124.00</td>\n",
       "      <td>2.02</td>\n",
       "      <td>OK,SOK,OK,99=99,S@2.00,97.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>LOW,LOW,LOW,38=38,S@0.00,38.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>LOW,LOW,LOW,21=21,S@0.00,21.00</td>\n",
       "      <td>4.62</td>\n",
       "      <td>OK,OK,OK,65=65,S@3.00,62.00</td>\n",
       "      <td>3.79</td>\n",
       "      <td>SOK,SOK,SOK,320=319,S@12.13,307.87</td>\n",
       "      <td>3.94</td>\n",
       "      <td>SOK,SOK,SOK,279=279,S@10.99,268.01</td>\n",
       "      <td>8.93</td>\n",
       "      <td>SOK,SOK,SOK,168=168,S@15.00,153.00</td>\n",
       "      <td>3.43</td>\n",
       "      <td>SOK,SOK,SOK,233=233,S@7.99,225.01</td>\n",
       "      <td>1.05</td>\n",
       "      <td>SOK,SOK,SOK,191=191,S@2.01,188.99</td>\n",
       "      <td>1.02</td>\n",
       "      <td>OK,SOK,OK,98=98,S@1.00,97.00</td>\n",
       "      <td>5.88</td>\n",
       "      <td>SOK,SOK,SOK,221=221,S@12.99,208.01</td>\n",
       "      <td>5.80</td>\n",
       "      <td>OK,OK,OK,69=69,S@4.00,65.00</td>\n",
       "      <td>5.70</td>\n",
       "      <td>SOK,SOK,SOK,158=158,S@9.01,148.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>OK,OK,OK,65=65,S@0.00,65.00</td>\n",
       "      <td>3.42</td>\n",
       "      <td>SOK,SOK,SOK,117=117,S@4.00,113.00</td>\n",
       "      <td>1.89</td>\n",
       "      <td>SOK,SOK,SOK,265=265,S@5.01,259.99</td>\n",
       "      <td>0.47</td>\n",
       "      <td>SOK,SOK,SOK,1260=1259,S@5.92,1254.08</td>\n",
       "      <td>2.33</td>\n",
       "      <td>SOK,SOK,SOK,129=129,S@3.01,125.99</td>\n",
       "      <td>2.36</td>\n",
       "      <td>SOK,SOK,SOK,1227=1227,S@28.96,1198.04</td>\n",
       "      <td>4.55</td>\n",
       "      <td>OK,OK,OK,44=44,S@2.00,42.00</td>\n",
       "      <td>6.25</td>\n",
       "      <td>LOW,LOW,LOW,32=32,S@2.00,30.00</td>\n",
       "      <td>11.21</td>\n",
       "      <td>SOK,SOK,SOK,107=107,S@11.99,95.01</td>\n",
       "      <td>3.04</td>\n",
       "      <td>SOK,SOK,SOK,263=263,S@8.00,255.00</td>\n",
       "      <td>4.76</td>\n",
       "      <td>SOK,SOK,SOK,315=315,S@14.99,300.01</td>\n",
       "      <td>8.23</td>\n",
       "      <td>SOK,SOK,SOK,158=158,S@13.00,145.00</td>\n",
       "      <td>12.50</td>\n",
       "      <td>SOK,SOK,SOK,192=192,S@24.00,168.00</td>\n",
       "      <td>4.21</td>\n",
       "      <td>OK,OK,OK,95=95,S@4.00,91.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>SOK,SOK,SOK,605=605,S@3.99,601.01</td>\n",
       "      <td>1.66</td>\n",
       "      <td>SOK,SOK,SOK,663=663,S@11.01,651.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>PTGES3L-AARSD1</td>\n",
       "      <td>HsaALTA0000019-2/2</td>\n",
       "      <td>chr17:41108431-41108577</td>\n",
       "      <td>56</td>\n",
       "      <td>chr17:41109155,41108431-41108577+41108521</td>\n",
       "      <td>Alt3</td>\n",
       "      <td>98.96</td>\n",
       "      <td>OK,OK,OK,96=96,S@95.00,1.00</td>\n",
       "      <td>94.12</td>\n",
       "      <td>LOW,LOW,LOW,34=34,S@32.00,2.00</td>\n",
       "      <td>97.11</td>\n",
       "      <td>SOK,SOK,SOK,173=173,S@168.00,5.00</td>\n",
       "      <td>92.00</td>\n",
       "      <td>OK,OK,OK,75=75,S@69.00,6.00</td>\n",
       "      <td>90.74</td>\n",
       "      <td>SOK,SOK,SOK,108=108,S@98.00,10.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>LOW,LOW,LOW,25=25,S@25.00,0.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,6=6,S@6.00,0.00</td>\n",
       "      <td>95.78</td>\n",
       "      <td>SOK,SOK,SOK,379=379,S@363.01,15.99</td>\n",
       "      <td>72.00</td>\n",
       "      <td>LOW,LOW,LOW,25=25,S@18.00,7.00</td>\n",
       "      <td>91.53</td>\n",
       "      <td>SOK,SOK,SOK,236=235,S@216.01,19.99</td>\n",
       "      <td>76.56</td>\n",
       "      <td>SOK,SOK,SOK,128=128,S@98.00,30.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>N,N,N,4=4,S@4.00,0.00</td>\n",
       "      <td>97.30</td>\n",
       "      <td>OK,OK,OK,74=74,S@72.00,2.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>SOK,SOK,SOK,129=129,S@129.00,0.00</td>\n",
       "      <td>96.52</td>\n",
       "      <td>SOK,SOK,SOK,230=230,S@222.00,8.00</td>\n",
       "      <td>96.39</td>\n",
       "      <td>SOK,SOK,SOK,388=388,S@373.99,14.01</td>\n",
       "      <td>97.45</td>\n",
       "      <td>SOK,SOK,SOK,235=235,S@229.01,5.99</td>\n",
       "      <td>98.05</td>\n",
       "      <td>SOK,SOK,SOK,613=612,S@601.05,11.95</td>\n",
       "      <td>97.64</td>\n",
       "      <td>SOK,SOK,SOK,254=254,S@248.01,5.99</td>\n",
       "      <td>98.47</td>\n",
       "      <td>SOK,SOK,SOK,261=259,S@257.01,3.99</td>\n",
       "      <td>98.46</td>\n",
       "      <td>SOK,SOK,SOK,456=456,S@448.98,7.02</td>\n",
       "      <td>100.00</td>\n",
       "      <td>OK,OK,OK,45=45,S@45.00,0.00</td>\n",
       "      <td>97.34</td>\n",
       "      <td>SOK,SOK,SOK,262=261,S@255.03,6.97</td>\n",
       "      <td>97.64</td>\n",
       "      <td>SOK,SOK,SOK,339=339,S@331.00,8.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>OK,OK,OK,46=46,S@46.00,0.00</td>\n",
       "      <td>97.33</td>\n",
       "      <td>OK,OK,OK,75=75,S@73.00,2.00</td>\n",
       "      <td>98.25</td>\n",
       "      <td>SOK,SOK,SOK,114=114,S@112.01,1.99</td>\n",
       "      <td>80.00</td>\n",
       "      <td>LOW,LOW,LOW,25=25,S@20.00,5.00</td>\n",
       "      <td>99.68</td>\n",
       "      <td>SOK,SOK,SOK,312=312,S@311.00,1.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>LOW,LOW,LOW,20=20,S@20.00,0.00</td>\n",
       "      <td>98.82</td>\n",
       "      <td>SOK,SOK,SOK,340=340,S@335.99,4.01</td>\n",
       "      <td>98.19</td>\n",
       "      <td>SOK,SOK,SOK,443=443,S@434.98,8.02</td>\n",
       "      <td>100.00</td>\n",
       "      <td>SOK,SOK,SOK,119=119,S@119.00,0.00</td>\n",
       "      <td>98.33</td>\n",
       "      <td>SOK,SOK,SOK,120=120,S@118.00,2.00</td>\n",
       "      <td>99.42</td>\n",
       "      <td>SOK,SOK,SOK,172=171,S@171.00,1.00</td>\n",
       "      <td>96.45</td>\n",
       "      <td>SOK,SOK,SOK,112=111,S@108.02,3.98</td>\n",
       "      <td>97.39</td>\n",
       "      <td>SOK,SOK,SOK,2875=2874,S@2799.96,75.04</td>\n",
       "      <td>96.10</td>\n",
       "      <td>SOK,SOK,SOK,1050=1049,S@1009.05,40.95</td>\n",
       "      <td>95.86</td>\n",
       "      <td>SOK,SOK,SOK,290=290,S@277.99,12.01</td>\n",
       "      <td>94.04</td>\n",
       "      <td>SOK,SOK,SOK,302=302,S@284.00,18.00</td>\n",
       "      <td>94.37</td>\n",
       "      <td>SOK,SOK,SOK,373=373,S@352.00,21.00</td>\n",
       "      <td>96.77</td>\n",
       "      <td>LOW,LOW,LOW,31=31,S@30.00,1.00</td>\n",
       "      <td>88.10</td>\n",
       "      <td>OK,OK,OK,84=84,S@74.00,10.00</td>\n",
       "      <td>98.28</td>\n",
       "      <td>OK,OK,OK,58=58,S@57.00,1.00</td>\n",
       "      <td>98.90</td>\n",
       "      <td>SOK,SOK,SOK,181=181,S@179.01,1.99</td>\n",
       "      <td>99.48</td>\n",
       "      <td>SOK,SOK,SOK,193=193,S@192.00,1.00</td>\n",
       "      <td>98.24</td>\n",
       "      <td>SOK,SOK,SOK,510=510,S@501.02,8.98</td>\n",
       "      <td>92.63</td>\n",
       "      <td>SOK,SOK,SOK,190=190,S@176.00,14.00</td>\n",
       "      <td>88.64</td>\n",
       "      <td>OK,OK,OK,88=88,S@78.00,10.00</td>\n",
       "      <td>98.46</td>\n",
       "      <td>SOK,SOK,SOK,325=325,S@319.99,5.01</td>\n",
       "      <td>91.71</td>\n",
       "      <td>SOK,SOK,SOK,201=200,C1@184.34,16.66</td>\n",
       "      <td>97.94</td>\n",
       "      <td>SOK,SOK,SOK,194=194,S@190.00,4.00</td>\n",
       "      <td>90.77</td>\n",
       "      <td>OK,OK,OK,65=65,S@59.00,6.00</td>\n",
       "      <td>96.55</td>\n",
       "      <td>SOK,SOK,SOK,174=174,S@168.00,6.00</td>\n",
       "      <td>89.72</td>\n",
       "      <td>SOK,SOK,SOK,107=107,S@96.00,11.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>LOW,LOW,LOW,24=24,S@24.00,0.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>OK,OK,OK,81=81,S@81.00,0.00</td>\n",
       "      <td>98.26</td>\n",
       "      <td>SOK,SOK,SOK,115=115,S@113.00,2.00</td>\n",
       "      <td>89.74</td>\n",
       "      <td>LOW,OK,LOW,39=39,S@35.00,4.00</td>\n",
       "      <td>93.22</td>\n",
       "      <td>OK,OK,OK,59=59,S@55.00,4.00</td>\n",
       "      <td>88.70</td>\n",
       "      <td>SOK,SOK,SOK,177=177,S@157.00,20.00</td>\n",
       "      <td>95.05</td>\n",
       "      <td>SOK,SOK,SOK,202=202,S@192.00,10.00</td>\n",
       "      <td>92.16</td>\n",
       "      <td>SOK,SOK,SOK,204=204,S@188.01,15.99</td>\n",
       "      <td>89.96</td>\n",
       "      <td>SOK,SOK,SOK,223=221,C1@200.61,22.39</td>\n",
       "      <td>69.05</td>\n",
       "      <td>OK,OK,OK,42=42,S@29.00,13.00</td>\n",
       "      <td>99.22</td>\n",
       "      <td>SOK,SOK,SOK,129=129,S@127.99,1.01</td>\n",
       "      <td>100.00</td>\n",
       "      <td>OK,OK,OK,47=47,S@47.00,0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>99.52</td>\n",
       "      <td>SOK,SOK,SOK,209=209,S@208.00,1.00</td>\n",
       "      <td>98.27</td>\n",
       "      <td>SOK,SOK,SOK,173=173,S@170.01,2.99</td>\n",
       "      <td>98.11</td>\n",
       "      <td>SOK,SOK,SOK,317=317,S@311.01,5.99</td>\n",
       "      <td>97.17</td>\n",
       "      <td>SOK,SOK,SOK,106=106,S@103.00,3.00</td>\n",
       "      <td>98.18</td>\n",
       "      <td>SOK,SOK,SOK,110=110,S@108.00,2.00</td>\n",
       "      <td>97.41</td>\n",
       "      <td>SOK,SOK,SOK,116=116,S@113.00,3.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,0=0,S@0,0</td>\n",
       "      <td>83.33</td>\n",
       "      <td>N,N,N,6=6,S@5.00,1.00</td>\n",
       "      <td>98.71</td>\n",
       "      <td>SOK,SOK,SOK,155=155,S@153.00,2.00</td>\n",
       "      <td>95.27</td>\n",
       "      <td>SOK,SOK,SOK,275=275,S@261.99,13.01</td>\n",
       "      <td>94.66</td>\n",
       "      <td>SOK,SOK,SOK,131=131,S@124.00,7.00</td>\n",
       "      <td>97.98</td>\n",
       "      <td>OK,SOK,OK,99=99,S@97.00,2.00</td>\n",
       "      <td>100.0</td>\n",
       "      <td>LOW,LOW,LOW,38=38,S@38.00,0.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>LOW,LOW,LOW,21=21,S@21.00,0.00</td>\n",
       "      <td>95.38</td>\n",
       "      <td>OK,OK,OK,65=65,S@62.00,3.00</td>\n",
       "      <td>96.21</td>\n",
       "      <td>SOK,SOK,SOK,320=319,S@307.87,12.13</td>\n",
       "      <td>96.06</td>\n",
       "      <td>SOK,SOK,SOK,279=279,S@268.01,10.99</td>\n",
       "      <td>91.07</td>\n",
       "      <td>SOK,SOK,SOK,168=168,S@153.00,15.00</td>\n",
       "      <td>96.57</td>\n",
       "      <td>SOK,SOK,SOK,233=233,S@225.01,7.99</td>\n",
       "      <td>98.95</td>\n",
       "      <td>SOK,SOK,SOK,191=191,S@188.99,2.01</td>\n",
       "      <td>98.98</td>\n",
       "      <td>OK,SOK,OK,98=98,S@97.00,1.00</td>\n",
       "      <td>94.12</td>\n",
       "      <td>SOK,SOK,SOK,221=221,S@208.01,12.99</td>\n",
       "      <td>94.20</td>\n",
       "      <td>OK,OK,OK,69=69,S@65.00,4.00</td>\n",
       "      <td>94.30</td>\n",
       "      <td>SOK,SOK,SOK,158=158,S@148.99,9.01</td>\n",
       "      <td>100.00</td>\n",
       "      <td>OK,OK,OK,65=65,S@65.00,0.00</td>\n",
       "      <td>96.58</td>\n",
       "      <td>SOK,SOK,SOK,117=117,S@113.00,4.00</td>\n",
       "      <td>98.11</td>\n",
       "      <td>SOK,SOK,SOK,265=265,S@259.99,5.01</td>\n",
       "      <td>99.53</td>\n",
       "      <td>SOK,SOK,SOK,1260=1259,S@1254.08,5.92</td>\n",
       "      <td>97.67</td>\n",
       "      <td>SOK,SOK,SOK,129=129,S@125.99,3.01</td>\n",
       "      <td>97.64</td>\n",
       "      <td>SOK,SOK,SOK,1227=1227,S@1198.04,28.96</td>\n",
       "      <td>95.45</td>\n",
       "      <td>OK,OK,OK,44=44,S@42.00,2.00</td>\n",
       "      <td>93.75</td>\n",
       "      <td>LOW,LOW,LOW,32=32,S@30.00,2.00</td>\n",
       "      <td>88.79</td>\n",
       "      <td>SOK,SOK,SOK,107=107,S@95.01,11.99</td>\n",
       "      <td>96.96</td>\n",
       "      <td>SOK,SOK,SOK,263=263,S@255.00,8.00</td>\n",
       "      <td>95.24</td>\n",
       "      <td>SOK,SOK,SOK,315=315,S@300.01,14.99</td>\n",
       "      <td>91.77</td>\n",
       "      <td>SOK,SOK,SOK,158=158,S@145.00,13.00</td>\n",
       "      <td>87.50</td>\n",
       "      <td>SOK,SOK,SOK,192=192,S@168.00,24.00</td>\n",
       "      <td>95.79</td>\n",
       "      <td>OK,OK,OK,95=95,S@91.00,4.00</td>\n",
       "      <td>99.34</td>\n",
       "      <td>SOK,SOK,SOK,605=605,S@601.01,3.99</td>\n",
       "      <td>98.34</td>\n",
       "      <td>SOK,SOK,SOK,663=663,S@651.99,11.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             GENE               EVENT                     COORD  LENGTH  \\\n",
       "0            A1CF  HsaALTA0000001-1/2   chr10:52573617-52573798       0   \n",
       "1            A1CF  HsaALTA0000001-2/2   chr10:52573617-52573822      24   \n",
       "2            AAAS  HsaALTA0000009-1/2   chr12:53704012-53704174       0   \n",
       "3            AAAS  HsaALTA0000009-2/2   chr12:53704012-53704177       3   \n",
       "4            AAK1  HsaALTA0000011-1/2    chr2:69736383-69736592       0   \n",
       "5            AAK1  HsaALTA0000011-2/2    chr2:69736383-69736595       3   \n",
       "6            AAMP  HsaALTA0000012-1/2  chr2:219134105-219134257       0   \n",
       "7            AAMP  HsaALTA0000012-2/2  chr2:219134105-219134260       3   \n",
       "8  PTGES3L-AARSD1  HsaALTA0000019-1/2   chr17:41108431-41108521       0   \n",
       "9  PTGES3L-AARSD1  HsaALTA0000019-2/2   chr17:41108431-41108577      56   \n",
       "\n",
       "                                         FullCO COMPLEX  Adipose_b  \\\n",
       "0     chr10:52575766,52573617-52573822+52573798    Alt3        NaN   \n",
       "1     chr10:52575766,52573617-52573822+52573798    Alt3        NaN   \n",
       "2     chr12:53708082,53704012-53704177+53704174    Alt3       0.00   \n",
       "3     chr12:53708082,53704012-53704177+53704174    Alt3     100.00   \n",
       "4      chr2:69741603,69736383-69736595+69736592    Alt3      77.45   \n",
       "5      chr2:69741603,69736383-69736595+69736592    Alt3      22.55   \n",
       "6  chr2:219134689,219134105-219134260+219134257    Alt3      86.36   \n",
       "7  chr2:219134689,219134105-219134260+219134257    Alt3      13.64   \n",
       "8     chr17:41109155,41108431-41108577+41108521    Alt3       1.04   \n",
       "9     chr17:41109155,41108431-41108577+41108521    Alt3      98.96   \n",
       "\n",
       "                          Adipose_b-Q  Adipose_c  \\\n",
       "0                     N,N,N,0=0,S@0,0     100.00   \n",
       "1                     N,N,N,0=0,S@0,0       0.00   \n",
       "2               N,N,N,2=2,S@0.00,2.00        NaN   \n",
       "3               N,N,N,2=2,S@2.00,0.00        NaN   \n",
       "4        OK,OK,OK,89=89,S@68.93,20.07      95.70   \n",
       "5        OK,OK,OK,89=89,S@20.07,68.93       4.30   \n",
       "6  SOK,SOK,SOK,638=638,S@550.98,87.02      87.25   \n",
       "7  SOK,SOK,SOK,638=638,S@87.02,550.98      12.75   \n",
       "8         OK,OK,OK,96=96,S@1.00,95.00       5.88   \n",
       "9         OK,OK,OK,96=96,S@95.00,1.00      94.12   \n",
       "\n",
       "                              Adipose_c-Q  Adipose_d  \\\n",
       "0                         N,N,N,1=1,S@0,0        NaN   \n",
       "1                         N,N,N,1=1,S@0,0        NaN   \n",
       "2                         N,N,N,0=0,S@0,0       0.00   \n",
       "3                         N,N,N,0=0,S@0,0     100.00   \n",
       "4          LOW,LOW,LOW,22=22,S@21.05,0.95      77.95   \n",
       "5          LOW,LOW,LOW,22=22,S@0.95,21.05      22.05   \n",
       "6  SOK,SOK,SOK,1592=1592,S@1389.02,202.98      84.08   \n",
       "7  SOK,SOK,SOK,1592=1592,S@202.98,1389.02      15.92   \n",
       "8          LOW,LOW,LOW,34=34,S@2.00,32.00       2.89   \n",
       "9          LOW,LOW,LOW,34=34,S@32.00,2.00      97.11   \n",
       "\n",
       "                          Adipose_d-Q  Adrenal_b  \\\n",
       "0                     N,N,N,0=0,S@0,0        NaN   \n",
       "1                     N,N,N,0=0,S@0,0        NaN   \n",
       "2               N,N,N,3=3,S@0.00,3.00        NaN   \n",
       "3               N,N,N,3=3,S@3.00,0.00        NaN   \n",
       "4       LOW,OK,LOW,39=39,S@30.40,8.60      48.23   \n",
       "5       LOW,OK,LOW,39=39,S@8.60,30.40      51.77   \n",
       "6  SOK,SOK,SOK,446=446,S@375.00,71.00      82.54   \n",
       "7  SOK,SOK,SOK,446=446,S@71.00,375.00      17.46   \n",
       "8   SOK,SOK,SOK,173=173,S@5.00,168.00       8.00   \n",
       "9   SOK,SOK,SOK,173=173,S@168.00,5.00      92.00   \n",
       "\n",
       "                          Adrenal_b-Q  Adrenal_c  \\\n",
       "0                     N,N,N,0=0,S@0,0     100.00   \n",
       "1                     N,N,N,0=0,S@0,0       0.00   \n",
       "2                     N,N,N,0=0,S@0,0      60.69   \n",
       "3                     N,N,N,0=0,S@0,0      39.31   \n",
       "4   SOK,SOK,SOK,139=139,S@67.04,71.96      58.19   \n",
       "5   SOK,SOK,SOK,139=139,S@71.96,67.04      41.81   \n",
       "6  SOK,SOK,SOK,252=252,S@208.00,44.00      88.30   \n",
       "7  SOK,SOK,SOK,252=252,S@44.00,208.00      11.70   \n",
       "8         OK,OK,OK,75=75,S@6.00,69.00       9.26   \n",
       "9         OK,OK,OK,75=75,S@69.00,6.00      90.74   \n",
       "\n",
       "                          Adrenal_c-Q  Amnion  \\\n",
       "0                     N,N,N,1=1,S@0,0   80.00   \n",
       "1                     N,N,N,1=1,S@0,0   20.00   \n",
       "2               N,N,N,5=5,S@3.03,1.97    0.00   \n",
       "3               N,N,N,5=5,S@1.97,3.03  100.00   \n",
       "4     LOW,LOW,LOW,37=37,S@21.53,15.47   66.04   \n",
       "5     LOW,LOW,LOW,37=37,S@15.47,21.53   33.96   \n",
       "6  SOK,SOK,SOK,607=607,S@535.98,71.02   91.46   \n",
       "7  SOK,SOK,SOK,607=607,S@71.02,535.98    8.54   \n",
       "8   SOK,SOK,SOK,108=108,S@10.00,98.00    0.00   \n",
       "9   SOK,SOK,SOK,108=108,S@98.00,10.00  100.00   \n",
       "\n",
       "                            Amnion-Q  Astrocytes  \\\n",
       "0              N,N,N,5=5,S@4.00,1.00         NaN   \n",
       "1              N,N,N,5=5,S@1.00,4.00         NaN   \n",
       "2              N,N,N,3=3,S@0.00,3.00         NaN   \n",
       "3              N,N,N,3=3,S@3.00,0.00         NaN   \n",
       "4  VLOW,VLOW,VLOW,17=17,S@11.23,5.77       66.83   \n",
       "5  VLOW,VLOW,VLOW,17=17,S@5.77,11.23       33.17   \n",
       "6        OK,OK,OK,82=82,S@75.00,7.00      100.00   \n",
       "7        OK,OK,OK,82=82,S@7.00,75.00        0.00   \n",
       "8     LOW,LOW,LOW,25=25,S@0.00,25.00        0.00   \n",
       "9     LOW,LOW,LOW,25=25,S@25.00,0.00      100.00   \n",
       "\n",
       "                     Astrocytes-Q  Bladder_a  \\\n",
       "0                 N,N,N,0=0,S@0,0     100.00   \n",
       "1                 N,N,N,0=0,S@0,0       0.00   \n",
       "2                 N,N,N,0=0,S@0,0        NaN   \n",
       "3                 N,N,N,0=0,S@0,0        NaN   \n",
       "4  LOW,LOW,LOW,29=29,S@19.38,9.62      63.44   \n",
       "5  LOW,LOW,LOW,29=29,S@9.62,19.38      36.56   \n",
       "6           N,N,N,7=7,S@7.00,0.00      88.36   \n",
       "7           N,N,N,7=7,S@0.00,7.00      11.64   \n",
       "8           N,N,N,6=6,S@0.00,6.00       4.22   \n",
       "9           N,N,N,6=6,S@6.00,0.00      95.78   \n",
       "\n",
       "                          Bladder_a-Q  Bone_marrow_a  \\\n",
       "0               N,N,N,5=5,S@5.00,0.00            NaN   \n",
       "1               N,N,N,5=5,S@0.00,5.00            NaN   \n",
       "2                     N,N,N,0=0,S@0,0            NaN   \n",
       "3                     N,N,N,0=0,S@0,0            NaN   \n",
       "4        OK,OK,OK,87=87,S@55.19,31.81          74.66   \n",
       "5        OK,OK,OK,87=87,S@31.81,55.19          25.34   \n",
       "6  SOK,SOK,SOK,481=481,S@425.01,55.99         100.00   \n",
       "7  SOK,SOK,SOK,481=481,S@55.99,425.01           0.00   \n",
       "8  SOK,SOK,SOK,379=379,S@15.99,363.01          28.00   \n",
       "9  SOK,SOK,SOK,379=379,S@363.01,15.99          72.00   \n",
       "\n",
       "                     Bone_marrow_a-Q  Bone_marrow_b  \\\n",
       "0                    N,N,N,0=0,S@0,0            NaN   \n",
       "1                    N,N,N,0=0,S@0,0            NaN   \n",
       "2                    N,N,N,0=0,S@0,0         100.00   \n",
       "3                    N,N,N,0=0,S@0,0           0.00   \n",
       "4  SOK,SOK,SOK,102=102,S@76.15,25.85          59.00   \n",
       "5  SOK,SOK,SOK,102=102,S@25.85,76.15          41.00   \n",
       "6              N,N,N,9=9,S@9.00,0.00          87.12   \n",
       "7              N,N,N,9=9,S@0.00,9.00          12.88   \n",
       "8     LOW,LOW,LOW,25=25,S@7.00,18.00           8.47   \n",
       "9     LOW,LOW,LOW,25=25,S@18.00,7.00          91.53   \n",
       "\n",
       "                      Bone_marrow_b-Q  Bone_marrow_c  \\\n",
       "0                     N,N,N,0=0,S@0,0            NaN   \n",
       "1                     N,N,N,0=0,S@0,0            NaN   \n",
       "2                     N,N,N,1=1,S@0,0           0.00   \n",
       "3                     N,N,N,1=1,S@0,0         100.00   \n",
       "4   SOK,SOK,SOK,118=116,S@69.62,48.38          49.09   \n",
       "5   SOK,SOK,SOK,118=116,S@48.38,69.62          50.91   \n",
       "6  SOK,SOK,SOK,520=520,S@453.02,66.98          87.04   \n",
       "7  SOK,SOK,SOK,520=520,S@66.98,453.02          12.96   \n",
       "8  SOK,SOK,SOK,236=235,S@19.99,216.01          23.44   \n",
       "9  SOK,SOK,SOK,236=235,S@216.01,19.99          76.56   \n",
       "\n",
       "                      Bone_marrow_c-Q  Brain_Endoth         Brain_Endoth-Q  \\\n",
       "0                     N,N,N,0=0,S@0,0           NaN        N,N,N,0=0,S@0,0   \n",
       "1                     N,N,N,0=0,S@0,0           NaN        N,N,N,0=0,S@0,0   \n",
       "2                     N,N,N,1=1,S@0,0           NaN        N,N,N,0=0,S@0,0   \n",
       "3                     N,N,N,1=1,S@0,0           NaN        N,N,N,0=0,S@0,0   \n",
       "4        OK,OK,OK,42=42,S@20.62,21.38         67.96  N,N,N,6=6,S@4.08,1.92   \n",
       "5        OK,OK,OK,42=42,S@21.38,20.62         32.04  N,N,N,6=6,S@1.92,4.08   \n",
       "6  SOK,SOK,SOK,247=247,S@214.99,32.01        100.00        N,N,N,1=1,S@0,0   \n",
       "7  SOK,SOK,SOK,247=247,S@32.01,214.99          0.00        N,N,N,1=1,S@0,0   \n",
       "8   SOK,SOK,SOK,128=128,S@30.00,98.00          0.00  N,N,N,4=4,S@0.00,4.00   \n",
       "9   SOK,SOK,SOK,128=128,S@98.00,30.00        100.00  N,N,N,4=4,S@4.00,0.00   \n",
       "\n",
       "   Breast_Epith_a                    Breast_Epith_a-Q  Breast_a  \\\n",
       "0             NaN                     N,N,N,0=0,S@0,0    100.00   \n",
       "1             NaN                     N,N,N,0=0,S@0,0      0.00   \n",
       "2            0.00                     N,N,N,1=1,S@0,0       NaN   \n",
       "3          100.00                     N,N,N,1=1,S@0,0       NaN   \n",
       "4           59.03   SOK,SOK,SOK,125=125,S@73.79,51.21     63.21   \n",
       "5           40.97   SOK,SOK,SOK,125=125,S@51.21,73.79     36.79   \n",
       "6           93.07  SOK,SOK,SOK,202=202,S@188.00,14.00     88.54   \n",
       "7            6.93  SOK,SOK,SOK,202=202,S@14.00,188.00     11.46   \n",
       "8            2.70         OK,OK,OK,74=74,S@2.00,72.00      0.00   \n",
       "9           97.30         OK,OK,OK,74=74,S@72.00,2.00    100.00   \n",
       "\n",
       "                           Breast_a-Q  CL_293T  \\\n",
       "0               N,N,N,7=7,S@7.00,0.00      NaN   \n",
       "1               N,N,N,7=7,S@0.00,7.00      NaN   \n",
       "2                     N,N,N,0=0,S@0,0     0.00   \n",
       "3                     N,N,N,0=0,S@0,0   100.00   \n",
       "4     LOW,LOW,LOW,26=24,C1@16.43,9.57    32.86   \n",
       "5     LOW,LOW,LOW,26=24,C1@9.57,16.43    67.14   \n",
       "6  SOK,SOK,SOK,349=349,S@309.00,40.00    86.00   \n",
       "7  SOK,SOK,SOK,349=349,S@40.00,309.00    14.00   \n",
       "8   SOK,SOK,SOK,129=129,S@0.00,129.00     3.48   \n",
       "9   SOK,SOK,SOK,129=129,S@129.00,0.00    96.52   \n",
       "\n",
       "                               CL_293T-Q  CL_Gm12878  \\\n",
       "0                        N,N,N,0=0,S@0,0         NaN   \n",
       "1                        N,N,N,0=0,S@0,0         NaN   \n",
       "2                        N,N,N,1=1,S@0,0       25.55   \n",
       "3                        N,N,N,1=1,S@0,0       74.45   \n",
       "4        LOW,LOW,LOW,38=38,S@12.49,25.51       55.30   \n",
       "5        LOW,LOW,LOW,38=38,S@25.51,12.49       44.70   \n",
       "6  SOK,SOK,SOK,1157=1156,S@995.02,161.98       88.73   \n",
       "7  SOK,SOK,SOK,1157=1156,S@161.98,995.02       11.27   \n",
       "8      SOK,SOK,SOK,230=230,S@8.00,222.00        3.61   \n",
       "9      SOK,SOK,SOK,230=230,S@222.00,8.00       96.39   \n",
       "\n",
       "                          CL_Gm12878-Q  CL_HeLa  \\\n",
       "0                      N,N,N,0=0,S@0,0      NaN   \n",
       "1                      N,N,N,0=0,S@0,0      NaN   \n",
       "2                N,N,N,4=4,S@1.02,2.98      NaN   \n",
       "3                N,N,N,4=4,S@2.98,1.02      NaN   \n",
       "4      LOW,LOW,LOW,26=26,S@14.38,11.62    53.26   \n",
       "5      LOW,LOW,LOW,26=26,S@11.62,14.38    46.74   \n",
       "6  SOK,SOK,SOK,932=931,S@826.96,105.04    84.21   \n",
       "7  SOK,SOK,SOK,932=931,S@105.04,826.96    15.79   \n",
       "8   SOK,SOK,SOK,388=388,S@14.01,373.99     2.55   \n",
       "9   SOK,SOK,SOK,388=388,S@373.99,14.01    97.45   \n",
       "\n",
       "                            CL_HeLa-Q  CL_K562  \\\n",
       "0                     N,N,N,0=0,S@0,0      NaN   \n",
       "1                     N,N,N,0=0,S@0,0      NaN   \n",
       "2                     N,N,N,0=0,S@0,0    50.72   \n",
       "3                     N,N,N,0=0,S@0,0    49.28   \n",
       "4     LOW,LOW,LOW,27=26,S@14.38,12.62    67.27   \n",
       "5     LOW,LOW,LOW,27=26,S@12.62,14.38    32.73   \n",
       "6  SOK,SOK,SOK,589=589,S@496.00,93.00    91.41   \n",
       "7  SOK,SOK,SOK,589=589,S@93.00,496.00     8.59   \n",
       "8   SOK,SOK,SOK,235=235,S@5.99,229.01     1.95   \n",
       "9   SOK,SOK,SOK,235=235,S@229.01,5.99    98.05   \n",
       "\n",
       "                               CL_K562-Q  CL_LP1  \\\n",
       "0                        N,N,N,0=0,S@0,0     NaN   \n",
       "1                        N,N,N,0=0,S@0,0     NaN   \n",
       "2                  N,N,N,2=2,S@1.01,0.99     NaN   \n",
       "3                  N,N,N,2=2,S@0.99,1.01     NaN   \n",
       "4           OK,OK,OK,47=47,S@31.62,15.38   52.81   \n",
       "5           OK,OK,OK,47=47,S@15.38,31.62   47.19   \n",
       "6  SOK,SOK,SOK,1118=1118,S@1021.96,96.04   88.61   \n",
       "7  SOK,SOK,SOK,1118=1118,S@96.04,1021.96   11.39   \n",
       "8     SOK,SOK,SOK,613=612,S@11.95,601.05    2.36   \n",
       "9     SOK,SOK,SOK,613=612,S@601.05,11.95   97.64   \n",
       "\n",
       "                                 CL_LP1-Q  CL_MB231  \\\n",
       "0                         N,N,N,0=0,S@0,0       NaN   \n",
       "1                         N,N,N,0=0,S@0,0       NaN   \n",
       "2                         N,N,N,0=0,S@0,0    100.00   \n",
       "3                         N,N,N,0=0,S@0,0      0.00   \n",
       "4         LOW,LOW,LOW,35=34,S@18.48,16.52    100.00   \n",
       "5         LOW,LOW,LOW,35=34,S@16.52,18.48      0.00   \n",
       "6  SOK,SOK,SOK,1176=1176,S@1042.05,133.95     90.95   \n",
       "7  SOK,SOK,SOK,1176=1176,S@133.95,1042.05      9.05   \n",
       "8       SOK,SOK,SOK,254=254,S@5.99,248.01      1.53   \n",
       "9       SOK,SOK,SOK,254=254,S@248.01,5.99     98.47   \n",
       "\n",
       "                           CL_MB231-Q  CL_MCF7  \\\n",
       "0                     N,N,N,0=0,S@0,0      NaN   \n",
       "1                     N,N,N,0=0,S@0,0      NaN   \n",
       "2                     N,N,N,1=1,S@0,0     0.00   \n",
       "3                     N,N,N,1=1,S@0,0   100.00   \n",
       "4               N,N,N,4=4,S@4.00,0.00    66.70   \n",
       "5               N,N,N,4=4,S@0.00,4.00    33.30   \n",
       "6  SOK,SOK,SOK,453=453,S@412.00,41.00    84.34   \n",
       "7  SOK,SOK,SOK,453=453,S@41.00,412.00    15.66   \n",
       "8   SOK,SOK,SOK,261=259,S@3.99,257.01     1.54   \n",
       "9   SOK,SOK,SOK,261=259,S@257.01,3.99    98.46   \n",
       "\n",
       "                                CL_MCF7-Q  CL_PNT2  \\\n",
       "0                         N,N,N,0=0,S@0,0      NaN   \n",
       "1                         N,N,N,0=0,S@0,0      NaN   \n",
       "2                         N,N,N,1=1,S@0,0      NaN   \n",
       "3                         N,N,N,1=1,S@0,0      NaN   \n",
       "4          LOW,LOW,LOW,26=26,S@17.34,8.66    46.92   \n",
       "5          LOW,LOW,LOW,26=26,S@8.66,17.34    53.08   \n",
       "6  SOK,SOK,SOK,2739=2738,S@2310.07,428.93    90.30   \n",
       "7  SOK,SOK,SOK,2739=2738,S@428.93,2310.07     9.70   \n",
       "8       SOK,SOK,SOK,456=456,S@7.02,448.98     0.00   \n",
       "9       SOK,SOK,SOK,456=456,S@448.98,7.02   100.00   \n",
       "\n",
       "                            CL_PNT2-Q  Cerebellum_a  \\\n",
       "0                     N,N,N,0=0,S@0,0           NaN   \n",
       "1                     N,N,N,0=0,S@0,0           NaN   \n",
       "2                     N,N,N,0=0,S@0,0         13.67   \n",
       "3                     N,N,N,0=0,S@0,0         86.33   \n",
       "4     LOW,LOW,LOW,22=22,S@10.32,11.68         62.43   \n",
       "5     LOW,LOW,LOW,22=22,S@11.68,10.32         37.57   \n",
       "6  SOK,SOK,SOK,134=134,S@121.00,13.00         87.99   \n",
       "7  SOK,SOK,SOK,134=134,S@13.00,121.00         12.01   \n",
       "8         OK,OK,OK,45=45,S@0.00,45.00          2.66   \n",
       "9         OK,OK,OK,45=45,S@45.00,0.00         97.34   \n",
       "\n",
       "                       Cerebellum_a-Q  Cerebellum_c  \\\n",
       "0                     N,N,N,0=0,S@0,0          0.00   \n",
       "1                     N,N,N,0=0,S@0,0        100.00   \n",
       "2   VLOW,VLOW,VLOW,15=15,S@2.05,12.95        100.00   \n",
       "3   VLOW,VLOW,VLOW,15=15,S@12.95,2.05          0.00   \n",
       "4        OK,OK,OK,77=77,S@48.07,28.93         57.04   \n",
       "5        OK,OK,OK,77=77,S@28.93,48.07         42.96   \n",
       "6  SOK,SOK,SOK,608=608,S@534.98,73.02         87.44   \n",
       "7  SOK,SOK,SOK,608=608,S@73.02,534.98         12.56   \n",
       "8   SOK,SOK,SOK,262=261,S@6.97,255.03          2.36   \n",
       "9   SOK,SOK,SOK,262=261,S@255.03,6.97         97.64   \n",
       "\n",
       "                           Cerebellum_c-Q  Chorion  \\\n",
       "0                         N,N,N,1=1,S@0,0      NaN   \n",
       "1                         N,N,N,1=1,S@0,0      NaN   \n",
       "2                         N,N,N,1=1,S@0,0      NaN   \n",
       "3                         N,N,N,1=1,S@0,0      NaN   \n",
       "4     SOK,SOK,SOK,367=366,S@209.34,157.66    84.98   \n",
       "5     SOK,SOK,SOK,367=366,S@157.66,209.34    15.02   \n",
       "6  SOK,SOK,SOK,1465=1465,S@1281.00,184.00    84.40   \n",
       "7  SOK,SOK,SOK,1465=1465,S@184.00,1281.00    15.60   \n",
       "8       SOK,SOK,SOK,339=339,S@8.00,331.00     0.00   \n",
       "9       SOK,SOK,SOK,339=339,S@331.00,8.00   100.00   \n",
       "\n",
       "                           Chorion-Q  Colon_b  \\\n",
       "0                    N,N,N,0=0,S@0,0    65.09   \n",
       "1                    N,N,N,0=0,S@0,0    34.91   \n",
       "2                    N,N,N,0=0,S@0,0      NaN   \n",
       "3                    N,N,N,0=0,S@0,0      NaN   \n",
       "4  VLOW,VLOW,VLOW,19=19,S@16.15,2.85    53.47   \n",
       "5  VLOW,VLOW,VLOW,19=19,S@2.85,16.15    46.53   \n",
       "6  SOK,SOK,SOK,109=109,S@92.00,17.00    85.64   \n",
       "7  SOK,SOK,SOK,109=109,S@17.00,92.00    14.36   \n",
       "8        OK,OK,OK,46=46,S@0.00,46.00     2.67   \n",
       "9        OK,OK,OK,46=46,S@46.00,0.00    97.33   \n",
       "\n",
       "                            Colon_b-Q  Colon_sigmoid  \\\n",
       "0   SOK,SOK,SOK,106=106,S@69.00,37.00          93.33   \n",
       "1   SOK,SOK,SOK,106=106,S@37.00,69.00           6.67   \n",
       "2                     N,N,N,0=0,S@0,0          50.72   \n",
       "3                     N,N,N,0=0,S@0,0          49.28   \n",
       "4     LOW,LOW,LOW,25=25,S@13.37,11.63          30.26   \n",
       "5     LOW,LOW,LOW,25=25,S@11.63,13.37          69.74   \n",
       "6  SOK,SOK,SOK,557=557,S@477.01,79.99          84.29   \n",
       "7  SOK,SOK,SOK,557=557,S@79.99,477.01          15.71   \n",
       "8         OK,OK,OK,75=75,S@2.00,73.00           1.75   \n",
       "9         OK,OK,OK,75=75,S@73.00,2.00          98.25   \n",
       "\n",
       "                      Colon_sigmoid-Q  Colon_transverse  \\\n",
       "0   VLOW,VLOW,VLOW,15=15,S@14.00,1.00             88.28   \n",
       "1   VLOW,VLOW,VLOW,15=15,S@1.00,14.00             11.72   \n",
       "2               N,N,N,2=2,S@1.01,0.99               NaN   \n",
       "3               N,N,N,2=2,S@0.99,1.01               NaN   \n",
       "4  SOK,SOK,SOK,155=155,S@46.90,108.10             51.99   \n",
       "5  SOK,SOK,SOK,155=155,S@108.10,46.90             48.01   \n",
       "6  SOK,SOK,SOK,210=210,S@177.01,32.99             64.46   \n",
       "7  SOK,SOK,SOK,210=210,S@32.99,177.01             35.54   \n",
       "8   SOK,SOK,SOK,114=114,S@2.00,112.01             20.00   \n",
       "9   SOK,SOK,SOK,114=114,S@112.01,1.99             80.00   \n",
       "\n",
       "                   Colon_transverse-Q  Cortex  \\\n",
       "0  SOK,SOK,SOK,145=145,S@128.01,16.99     NaN   \n",
       "1  SOK,SOK,SOK,145=145,S@16.99,128.01     NaN   \n",
       "2                     N,N,N,0=0,S@0,0   50.72   \n",
       "3                     N,N,N,0=0,S@0,0   49.28   \n",
       "4        OK,OK,OK,97=97,S@50.43,46.57   66.04   \n",
       "5        OK,OK,OK,97=97,S@46.57,50.43   33.96   \n",
       "6   SOK,SOK,SOK,121=121,S@78.00,43.00   89.20   \n",
       "7   SOK,SOK,SOK,121=121,S@43.00,78.00   10.80   \n",
       "8      LOW,LOW,LOW,25=25,S@5.00,20.00    0.32   \n",
       "9      LOW,LOW,LOW,25=25,S@20.00,5.00   99.68   \n",
       "\n",
       "                             Cortex-Q  Decidua  \\\n",
       "0                     N,N,N,0=0,S@0,0      NaN   \n",
       "1                     N,N,N,0=0,S@0,0      NaN   \n",
       "2               N,N,N,2=2,S@1.01,0.99     0.00   \n",
       "3               N,N,N,2=2,S@0.99,1.01   100.00   \n",
       "4   SOK,SOK,SOK,119=119,S@78.59,40.41    41.42   \n",
       "5   SOK,SOK,SOK,119=119,S@40.41,78.59    58.58   \n",
       "6  SOK,SOK,SOK,435=435,S@388.02,46.98    94.84   \n",
       "7  SOK,SOK,SOK,435=435,S@46.98,388.02     5.16   \n",
       "8   SOK,SOK,SOK,312=312,S@1.00,311.00     0.00   \n",
       "9   SOK,SOK,SOK,312=312,S@311.00,1.00   100.00   \n",
       "\n",
       "                           Decidua-Q  ESC_H1_a  \\\n",
       "0                    N,N,N,0=0,S@0,0       NaN   \n",
       "1                    N,N,N,0=0,S@0,0       NaN   \n",
       "2              N,N,N,4=4,S@0.00,4.00     75.54   \n",
       "3              N,N,N,4=4,S@4.00,0.00     24.46   \n",
       "4    LOW,LOW,LOW,30=30,S@12.43,17.57     55.62   \n",
       "5    LOW,LOW,LOW,30=30,S@17.57,12.43     44.38   \n",
       "6  SOK,SOK,SOK,155=155,S@147.00,8.00     89.61   \n",
       "7  SOK,SOK,SOK,155=155,S@8.00,147.00     10.39   \n",
       "8     LOW,LOW,LOW,20=20,S@0.00,20.00      1.18   \n",
       "9     LOW,LOW,LOW,20=20,S@20.00,0.00     98.82   \n",
       "\n",
       "                           ESC_H1_a-Q  ESC_H1_b  \\\n",
       "0                     N,N,N,0=0,S@0,0       NaN   \n",
       "1                     N,N,N,0=0,S@0,0       NaN   \n",
       "2               N,N,N,4=4,S@3.02,0.98     33.98   \n",
       "3               N,N,N,4=4,S@0.98,3.02     66.02   \n",
       "4     LOW,LOW,LOW,24=24,S@13.35,10.65     60.70   \n",
       "5     LOW,LOW,LOW,24=24,S@10.65,13.35     39.30   \n",
       "6  SOK,SOK,SOK,770=770,S@690.00,80.00     84.59   \n",
       "7  SOK,SOK,SOK,770=770,S@80.00,690.00     15.41   \n",
       "8   SOK,SOK,SOK,340=340,S@4.01,335.99      1.81   \n",
       "9   SOK,SOK,SOK,340=340,S@335.99,4.01     98.19   \n",
       "\n",
       "                               ESC_H1_b-Q  ESC_H1_c  \\\n",
       "0                         N,N,N,0=0,S@0,0       NaN   \n",
       "1                         N,N,N,0=0,S@0,0       NaN   \n",
       "2                   N,N,N,6=6,S@2.04,3.96     50.72   \n",
       "3                   N,N,N,6=6,S@3.96,2.04     49.28   \n",
       "4       SOK,SOK,SOK,113=113,S@68.59,44.41     57.30   \n",
       "5       SOK,SOK,SOK,113=113,S@44.41,68.59     42.70   \n",
       "6  SOK,SOK,SOK,1395=1394,S@1180.03,214.97     87.43   \n",
       "7  SOK,SOK,SOK,1395=1394,S@214.97,1180.03     12.57   \n",
       "8       SOK,SOK,SOK,443=443,S@8.02,434.98      0.00   \n",
       "9       SOK,SOK,SOK,443=443,S@434.98,8.02    100.00   \n",
       "\n",
       "                           ESC_H1_c-Q  ESC_H1_d  \\\n",
       "0                     N,N,N,0=0,S@0,0       NaN   \n",
       "1                     N,N,N,0=0,S@0,0       NaN   \n",
       "2               N,N,N,2=2,S@1.01,0.99      0.00   \n",
       "3               N,N,N,2=2,S@0.99,1.01    100.00   \n",
       "4   SOK,SOK,SOK,111=111,S@63.60,47.40     68.42   \n",
       "5   SOK,SOK,SOK,111=111,S@47.40,63.60     31.58   \n",
       "6  SOK,SOK,SOK,573=573,S@500.97,72.03     88.49   \n",
       "7  SOK,SOK,SOK,573=573,S@72.03,500.97     11.51   \n",
       "8   SOK,SOK,SOK,119=119,S@0.00,119.00      1.67   \n",
       "9   SOK,SOK,SOK,119=119,S@119.00,0.00     98.33   \n",
       "\n",
       "                           ESC_H1_d-Q  ESC_H9_a  \\\n",
       "0                     N,N,N,0=0,S@0,0       NaN   \n",
       "1                     N,N,N,0=0,S@0,0       NaN   \n",
       "2                     N,N,N,1=1,S@0,0      0.00   \n",
       "3                     N,N,N,1=1,S@0,0    100.00   \n",
       "4   SOK,SOK,SOK,143=143,S@97.84,45.16     53.08   \n",
       "5   SOK,SOK,SOK,143=143,S@45.16,97.84     46.92   \n",
       "6  SOK,SOK,SOK,617=615,S@545.98,71.02     86.58   \n",
       "7  SOK,SOK,SOK,617=615,S@71.02,545.98     13.42   \n",
       "8   SOK,SOK,SOK,120=120,S@2.00,118.00      0.58   \n",
       "9   SOK,SOK,SOK,120=120,S@118.00,2.00     99.42   \n",
       "\n",
       "                           ESC_H9_a-Q  ESC_H9_b  \\\n",
       "0                     N,N,N,0=0,S@0,0       NaN   \n",
       "1                     N,N,N,0=0,S@0,0       NaN   \n",
       "2                     N,N,N,1=1,S@0,0       NaN   \n",
       "3                     N,N,N,1=1,S@0,0       NaN   \n",
       "4     LOW,LOW,LOW,31=31,S@16.45,14.55     57.00   \n",
       "5     LOW,LOW,LOW,31=31,S@14.55,16.45     43.00   \n",
       "6  SOK,SOK,SOK,298=298,S@258.01,39.99     89.74   \n",
       "7  SOK,SOK,SOK,298=298,S@39.99,258.01     10.26   \n",
       "8   SOK,SOK,SOK,172=171,S@1.00,171.00      3.55   \n",
       "9   SOK,SOK,SOK,172=171,S@171.00,1.00     96.45   \n",
       "\n",
       "                               ESC_H9_b-Q  Embr_Cortex_13_17wpc  \\\n",
       "0                         N,N,N,0=0,S@0,0                   NaN   \n",
       "1                         N,N,N,0=0,S@0,0                   NaN   \n",
       "2                         N,N,N,0=0,S@0,0                 14.14   \n",
       "3                         N,N,N,0=0,S@0,0                 85.86   \n",
       "4                   N,N,N,9=9,S@5.13,3.87                 65.52   \n",
       "5                   N,N,N,9=9,S@3.87,5.13                 34.48   \n",
       "6  SOK,SOK,SOK,1267=1266,S@1137.01,129.99                 89.66   \n",
       "7  SOK,SOK,SOK,1267=1266,S@129.99,1137.01                 10.34   \n",
       "8       SOK,SOK,SOK,112=111,S@3.98,108.02                  2.61   \n",
       "9       SOK,SOK,SOK,112=111,S@108.02,3.98                 97.39   \n",
       "\n",
       "                   Embr_Cortex_13_17wpc-Q  Embr_Forebrain_9_12wpc  \\\n",
       "0                         N,N,N,0=0,S@0,0                     NaN   \n",
       "1                         N,N,N,0=0,S@0,0                     NaN   \n",
       "2          LOW,LOW,LOW,29=29,S@4.10,24.90                   60.69   \n",
       "3          LOW,LOW,LOW,29=29,S@24.90,4.10                   39.31   \n",
       "4      SOK,SOK,SOK,201=201,S@131.70,69.30                   49.36   \n",
       "5      SOK,SOK,SOK,201=201,S@69.30,131.70                   50.64   \n",
       "6  SOK,SOK,SOK,9077=9075,S@8138.44,938.56                   89.98   \n",
       "7  SOK,SOK,SOK,9077=9075,S@938.56,8138.44                   10.02   \n",
       "8   SOK,SOK,SOK,2875=2874,S@75.04,2799.96                    3.90   \n",
       "9   SOK,SOK,SOK,2875=2874,S@2799.96,75.04                   96.10   \n",
       "\n",
       "                 Embr_Forebrain_9_12wpc-Q  Embr_Forebrain_St13_14  \\\n",
       "0                         N,N,N,0=0,S@0,0                     NaN   \n",
       "1                         N,N,N,0=0,S@0,0                     NaN   \n",
       "2                   N,N,N,5=5,S@3.03,1.97                   20.47   \n",
       "3                   N,N,N,5=5,S@1.97,3.03                   79.53   \n",
       "4            OK,OK,OK,71=71,S@35.05,35.95                   44.30   \n",
       "5            OK,OK,OK,71=71,S@35.95,35.05                   55.70   \n",
       "6  SOK,SOK,SOK,3065=3064,S@2757.89,307.11                   88.46   \n",
       "7  SOK,SOK,SOK,3065=3064,S@307.11,2757.89                   11.54   \n",
       "8   SOK,SOK,SOK,1050=1049,S@40.95,1009.05                    4.14   \n",
       "9   SOK,SOK,SOK,1050=1049,S@1009.05,40.95                   95.86   \n",
       "\n",
       "                 Embr_Forebrain_St13_14-Q  Embr_Forebrain_St17_20  \\\n",
       "0                         N,N,N,0=0,S@0,0                     NaN   \n",
       "1                         N,N,N,0=0,S@0,0                     NaN   \n",
       "2                  N,N,N,5=4,C2@1.02,3.98                    0.00   \n",
       "3                  N,N,N,5=4,C2@3.98,1.02                  100.00   \n",
       "4        VLOW,VLOW,VLOW,14=14,S@6.20,7.80                   63.87   \n",
       "5        VLOW,VLOW,VLOW,14=14,S@7.80,6.20                   36.13   \n",
       "6  SOK,SOK,SOK,1421=1419,S@1257.02,163.98                   89.83   \n",
       "7  SOK,SOK,SOK,1421=1419,S@163.98,1257.02                   10.17   \n",
       "8      SOK,SOK,SOK,290=290,S@12.01,277.99                    5.96   \n",
       "9      SOK,SOK,SOK,290=290,S@277.99,12.01                   94.04   \n",
       "\n",
       "                 Embr_Forebrain_St17_20-Q  Embr_Forebrain_St22_23  \\\n",
       "0                         N,N,N,0=0,S@0,0                     NaN   \n",
       "1                         N,N,N,0=0,S@0,0                     NaN   \n",
       "2                   N,N,N,3=3,S@0.00,3.00                   20.47   \n",
       "3                   N,N,N,3=3,S@3.00,0.00                   79.53   \n",
       "4          LOW,LOW,LOW,24=24,S@15.33,8.67                   84.13   \n",
       "5          LOW,LOW,LOW,24=24,S@8.67,15.33                   15.87   \n",
       "6  SOK,SOK,SOK,1318=1318,S@1183.96,134.04                   89.45   \n",
       "7  SOK,SOK,SOK,1318=1318,S@134.04,1183.96                   10.55   \n",
       "8      SOK,SOK,SOK,302=302,S@18.00,284.00                    5.63   \n",
       "9      SOK,SOK,SOK,302=302,S@284.00,18.00                   94.37   \n",
       "\n",
       "                 Embr_Forebrain_St22_23-Q  EndomStromCells  \\\n",
       "0                         N,N,N,0=0,S@0,0              NaN   \n",
       "1                         N,N,N,0=0,S@0,0              NaN   \n",
       "2                   N,N,N,5=5,S@1.02,3.98              NaN   \n",
       "3                   N,N,N,5=5,S@3.98,1.02              NaN   \n",
       "4          LOW,LOW,LOW,30=30,S@25.24,4.76            73.88   \n",
       "5          LOW,LOW,LOW,30=30,S@4.76,25.24            26.12   \n",
       "6  SOK,SOK,SOK,1394=1394,S@1246.93,147.07            93.94   \n",
       "7  SOK,SOK,SOK,1394=1394,S@147.07,1246.93             6.06   \n",
       "8      SOK,SOK,SOK,373=373,S@21.00,352.00             3.23   \n",
       "9      SOK,SOK,SOK,373=373,S@352.00,21.00            96.77   \n",
       "\n",
       "                EndomStromCells-Q  EndothCells  \\\n",
       "0                 N,N,N,0=0,S@0,0          NaN   \n",
       "1                 N,N,N,0=0,S@0,0          NaN   \n",
       "2                 N,N,N,0=0,S@0,0          NaN   \n",
       "3                 N,N,N,0=0,S@0,0          NaN   \n",
       "4  LOW,LOW,LOW,22=22,S@16.25,5.75        61.26   \n",
       "5  LOW,LOW,LOW,22=22,S@5.75,16.25        38.74   \n",
       "6     OK,OK,OK,66=66,S@62.00,4.00        88.50   \n",
       "7     OK,OK,OK,66=66,S@4.00,62.00        11.50   \n",
       "8  LOW,LOW,LOW,31=31,S@1.00,30.00        11.90   \n",
       "9  LOW,LOW,LOW,31=31,S@30.00,1.00        88.10   \n",
       "\n",
       "                         EndothCells-Q  EpithelialCells  \\\n",
       "0                      N,N,N,0=0,S@0,0              NaN   \n",
       "1                      N,N,N,0=0,S@0,0              NaN   \n",
       "2                      N,N,N,0=0,S@0,0              NaN   \n",
       "3                      N,N,N,0=0,S@0,0              NaN   \n",
       "4  SOK,SOK,SOK,284=278,S@173.98,110.02            64.72   \n",
       "5  SOK,SOK,SOK,284=278,S@110.02,173.98            35.28   \n",
       "6   SOK,SOK,SOK,339=339,S@300.01,38.98            89.66   \n",
       "7   SOK,SOK,SOK,339=339,S@38.98,300.01            10.34   \n",
       "8         OK,OK,OK,84=84,S@10.00,74.00             1.72   \n",
       "9         OK,OK,OK,84=84,S@74.00,10.00            98.28   \n",
       "\n",
       "                    EpithelialCells-Q  Fibroblasts  \\\n",
       "0                     N,N,N,0=0,S@0,0          NaN   \n",
       "1                     N,N,N,0=0,S@0,0          NaN   \n",
       "2                     N,N,N,0=0,S@0,0         0.00   \n",
       "3                     N,N,N,0=0,S@0,0       100.00   \n",
       "4  SOK,SOK,SOK,202=202,S@130.73,71.27        59.49   \n",
       "5  SOK,SOK,SOK,202=202,S@71.27,130.73        40.51   \n",
       "6  SOK,SOK,SOK,145=145,S@130.01,14.99        90.91   \n",
       "7  SOK,SOK,SOK,145=145,S@14.99,130.01         9.09   \n",
       "8         OK,OK,OK,58=58,S@1.00,57.00         1.10   \n",
       "9         OK,OK,OK,58=58,S@57.00,1.00        98.90   \n",
       "\n",
       "                        Fibroblasts-Q  Frontal_Gyrus_old  \\\n",
       "0                     N,N,N,0=0,S@0,0                NaN   \n",
       "1                     N,N,N,0=0,S@0,0                NaN   \n",
       "2               N,N,N,6=6,S@0.00,6.00              33.98   \n",
       "3               N,N,N,6=6,S@6.00,0.00              66.02   \n",
       "4        OK,OK,OK,62=62,S@36.88,25.12              66.54   \n",
       "5        OK,OK,OK,62=62,S@25.12,36.88              33.46   \n",
       "6  SOK,SOK,SOK,429=429,S@390.00,39.00              85.31   \n",
       "7  SOK,SOK,SOK,429=429,S@39.00,390.00              14.69   \n",
       "8   SOK,SOK,SOK,181=181,S@1.99,179.01               0.52   \n",
       "9   SOK,SOK,SOK,181=181,S@179.01,1.99              99.48   \n",
       "\n",
       "                  Frontal_Gyrus_old-Q  Frontal_Gyrus_young  \\\n",
       "0                     N,N,N,0=0,S@0,0                 0.00   \n",
       "1                     N,N,N,0=0,S@0,0               100.00   \n",
       "2               N,N,N,3=3,S@1.02,1.98                 0.00   \n",
       "3               N,N,N,3=3,S@1.98,1.02               100.00   \n",
       "4        OK,OK,OK,46=46,S@30.61,15.39                54.79   \n",
       "5        OK,OK,OK,46=46,S@15.39,30.61                45.21   \n",
       "6  SOK,SOK,SOK,572=572,S@487.97,84.03                89.66   \n",
       "7  SOK,SOK,SOK,572=572,S@84.03,487.97                10.34   \n",
       "8   SOK,SOK,SOK,193=193,S@1.00,192.00                 1.76   \n",
       "9   SOK,SOK,SOK,193=193,S@192.00,1.00                98.24   \n",
       "\n",
       "                    Frontal_Gyrus_young-Q  GLS_Cells  \\\n",
       "0                         N,N,N,1=1,S@0,0       0.00   \n",
       "1                         N,N,N,1=1,S@0,0     100.00   \n",
       "2                         N,N,N,1=1,S@0,0       0.00   \n",
       "3                         N,N,N,1=1,S@0,0     100.00   \n",
       "4        VLOW,VLOW,VLOW,15=15,S@8.22,6.78      57.61   \n",
       "5        VLOW,VLOW,VLOW,15=15,S@6.78,8.22      42.39   \n",
       "6  SOK,SOK,SOK,1548=1548,S@1387.94,160.06      86.01   \n",
       "7  SOK,SOK,SOK,1548=1548,S@160.06,1387.94      13.99   \n",
       "8       SOK,SOK,SOK,510=510,S@8.98,501.02       7.37   \n",
       "9       SOK,SOK,SOK,510=510,S@501.02,8.98      92.63   \n",
       "\n",
       "                          GLS_Cells-Q  HFDPC  \\\n",
       "0                     N,N,N,1=1,S@0,0    NaN   \n",
       "1                     N,N,N,1=1,S@0,0    NaN   \n",
       "2                     N,N,N,1=1,S@0,0    NaN   \n",
       "3                     N,N,N,1=1,S@0,0    NaN   \n",
       "4        OK,OK,OK,73=73,S@42.06,30.94  58.74   \n",
       "5        OK,OK,OK,73=73,S@30.94,42.06  41.26   \n",
       "6  SOK,SOK,SOK,286=286,S@245.99,40.01  79.77   \n",
       "7  SOK,SOK,SOK,286=286,S@40.01,245.99  20.23   \n",
       "8  SOK,SOK,SOK,190=190,S@14.00,176.00  11.36   \n",
       "9  SOK,SOK,SOK,190=190,S@176.00,14.00  88.64   \n",
       "\n",
       "                               HFDPC-Q  HMEpC_a  \\\n",
       "0                      N,N,N,0=0,S@0,0      NaN   \n",
       "1                      N,N,N,0=0,S@0,0      NaN   \n",
       "2                      N,N,N,0=0,S@0,0    25.55   \n",
       "3                      N,N,N,0=0,S@0,0    74.45   \n",
       "4  SOK,SOK,SOK,349=349,S@205.00,144.00    69.03   \n",
       "5  SOK,SOK,SOK,349=349,S@144.00,205.00    30.97   \n",
       "6   SOK,SOK,SOK,173=173,S@138.00,35.00    89.47   \n",
       "7   SOK,SOK,SOK,173=173,S@35.00,138.00    10.53   \n",
       "8         OK,OK,OK,88=88,S@10.00,78.00     1.54   \n",
       "9         OK,OK,OK,88=88,S@78.00,10.00    98.46   \n",
       "\n",
       "                             HMEpC_a-Q  Heart_a  \\\n",
       "0                      N,N,N,0=0,S@0,0      NaN   \n",
       "1                      N,N,N,0=0,S@0,0      NaN   \n",
       "2                N,N,N,4=4,S@1.02,2.98   100.00   \n",
       "3                N,N,N,4=4,S@2.98,1.02     0.00   \n",
       "4  SOK,SOK,SOK,490=490,S@338.25,151.75    65.34   \n",
       "5  SOK,SOK,SOK,490=490,S@151.75,338.25    34.66   \n",
       "6   SOK,SOK,SOK,266=265,S@237.99,28.01    88.80   \n",
       "7   SOK,SOK,SOK,266=265,S@28.01,237.99    11.20   \n",
       "8    SOK,SOK,SOK,325=325,S@5.00,320.00     8.29   \n",
       "9    SOK,SOK,SOK,325=325,S@319.99,5.01    91.71   \n",
       "\n",
       "                             Heart_a-Q  Heart_b  \\\n",
       "0                      N,N,N,0=0,S@0,0   100.00   \n",
       "1                      N,N,N,0=0,S@0,0     0.00   \n",
       "2                      N,N,N,1=1,S@0,0      NaN   \n",
       "3                      N,N,N,1=1,S@0,0      NaN   \n",
       "4    SOK,SOK,SOK,100=100,S@65.34,34.66    72.28   \n",
       "5    SOK,SOK,SOK,100=100,S@34.66,65.34    27.72   \n",
       "6   SOK,SOK,SOK,241=241,S@214.01,26.99    89.19   \n",
       "7   SOK,SOK,SOK,241=241,S@26.99,214.01    10.81   \n",
       "8  SOK,SOK,SOK,201=200,C1@16.66,184.34     2.06   \n",
       "9  SOK,SOK,SOK,201=200,C1@184.34,16.66    97.94   \n",
       "\n",
       "                            Heart_b-Q  Heart_c  \\\n",
       "0               N,N,N,2=2,S@2.00,0.00      NaN   \n",
       "1               N,N,N,2=2,S@0.00,2.00      NaN   \n",
       "2                     N,N,N,0=0,S@0,0      NaN   \n",
       "3                     N,N,N,0=0,S@0,0      NaN   \n",
       "4        OK,OK,OK,83=83,S@59.99,23.01    90.63   \n",
       "5        OK,OK,OK,83=83,S@23.01,59.99     9.37   \n",
       "6  SOK,SOK,SOK,296=296,S@264.00,32.00    91.08   \n",
       "7  SOK,SOK,SOK,296=296,S@32.00,264.00     8.92   \n",
       "8   SOK,SOK,SOK,194=194,S@4.00,190.00     9.23   \n",
       "9   SOK,SOK,SOK,194=194,S@190.00,4.00    90.77   \n",
       "\n",
       "                              Heart_c-Q  Kidney_b  \\\n",
       "0                       N,N,N,0=0,S@0,0     86.00   \n",
       "1                       N,N,N,0=0,S@0,0     14.00   \n",
       "2                       N,N,N,0=0,S@0,0     40.70   \n",
       "3                       N,N,N,0=0,S@0,0     59.30   \n",
       "4    SOK,SOK,SOK,253=253,S@229.29,23.71     64.18   \n",
       "5    SOK,SOK,SOK,253=253,S@23.71,229.29     35.82   \n",
       "6  SOK,SOK,SOK,1088=1088,S@990.95,97.05     86.53   \n",
       "7  SOK,SOK,SOK,1088=1088,S@97.05,990.95     13.47   \n",
       "8           OK,OK,OK,65=65,S@6.00,59.00      3.45   \n",
       "9           OK,OK,OK,65=65,S@59.00,6.00     96.55   \n",
       "\n",
       "                            Kidney_b-Q  Kidney_c  \\\n",
       "0          OK,OK,OK,50=50,S@43.00,7.00     81.63   \n",
       "1          OK,OK,OK,50=50,S@7.00,43.00     18.37   \n",
       "2                N,N,N,5=5,S@2.04,2.96       NaN   \n",
       "3                N,N,N,5=5,S@2.96,2.04       NaN   \n",
       "4         OK,OK,OK,78=78,S@50.06,27.94     74.12   \n",
       "5         OK,OK,OK,78=78,S@27.94,50.06     25.88   \n",
       "6  SOK,SOK,SOK,876=876,S@758.00,118.00     86.11   \n",
       "7  SOK,SOK,SOK,876=876,S@118.00,758.00     13.89   \n",
       "8    SOK,SOK,SOK,174=174,S@6.00,168.00     10.28   \n",
       "9    SOK,SOK,SOK,174=174,S@168.00,6.00     89.72   \n",
       "\n",
       "                              Kidney_c-Q  Kidney_d  \\\n",
       "0            OK,OK,OK,49=49,S@40.00,9.00     75.00   \n",
       "1            OK,OK,OK,49=49,S@9.00,40.00     25.00   \n",
       "2                        N,N,N,0=0,S@0,0       NaN   \n",
       "3                        N,N,N,0=0,S@0,0       NaN   \n",
       "4           OK,OK,OK,74=74,S@54.85,19.15     48.53   \n",
       "5           OK,OK,OK,74=74,S@19.15,54.85     51.47   \n",
       "6  SOK,SOK,SOK,1037=1037,S@892.96,144.04     85.71   \n",
       "7  SOK,SOK,SOK,1037=1037,S@144.04,892.96     14.29   \n",
       "8      SOK,SOK,SOK,107=107,S@11.00,96.00      0.00   \n",
       "9      SOK,SOK,SOK,107=107,S@96.00,11.00    100.00   \n",
       "\n",
       "                           Kidney_d-Q  Liver_a  \\\n",
       "0        OK,OK,OK,40=40,S@30.00,10.00    71.20   \n",
       "1        OK,OK,OK,40=40,S@10.00,30.00    28.80   \n",
       "2                     N,N,N,0=0,S@0,0      NaN   \n",
       "3                     N,N,N,0=0,S@0,0      NaN   \n",
       "4    VLOW,VLOW,VLOW,17=17,S@8.25,8.75    51.47   \n",
       "5    VLOW,VLOW,VLOW,17=17,S@8.75,8.25    48.53   \n",
       "6  SOK,SOK,SOK,161=161,S@137.99,23.01    86.19   \n",
       "7  SOK,SOK,SOK,161=161,S@23.01,137.99    13.81   \n",
       "8      LOW,LOW,LOW,24=24,S@0.00,24.00     0.00   \n",
       "9      LOW,LOW,LOW,24=24,S@24.00,0.00   100.00   \n",
       "\n",
       "                            Liver_a-Q  Liver_b  \\\n",
       "0  SOK,SOK,SOK,184=183,S@131.01,52.99    65.77   \n",
       "1  SOK,SOK,SOK,184=183,S@52.99,131.01    34.23   \n",
       "2                     N,N,N,0=0,S@0,0      NaN   \n",
       "3                     N,N,N,0=0,S@0,0      NaN   \n",
       "4               N,N,N,4=4,S@2.06,1.94    76.09   \n",
       "5               N,N,N,4=4,S@1.94,2.06    23.91   \n",
       "6  SOK,SOK,SOK,181=181,S@156.00,25.00    87.80   \n",
       "7  SOK,SOK,SOK,181=181,S@25.00,156.00    12.20   \n",
       "8         OK,OK,OK,81=81,S@0.00,81.00     1.74   \n",
       "9         OK,OK,OK,81=81,S@81.00,0.00    98.26   \n",
       "\n",
       "                               Liver_b-Q  Liver_c  \\\n",
       "0  SOK,SOK,SOK,1306=1303,S@858.96,447.04    65.29   \n",
       "1  SOK,SOK,SOK,1306=1303,S@447.04,858.96    34.71   \n",
       "2                        N,N,N,0=0,S@0,0     0.00   \n",
       "3                        N,N,N,0=0,S@0,0   100.00   \n",
       "4                  N,N,N,8=8,S@6.09,1.91    76.09   \n",
       "5                  N,N,N,8=8,S@1.91,6.09    23.91   \n",
       "6     SOK,SOK,SOK,295=295,S@259.01,35.99    84.44   \n",
       "7     SOK,SOK,SOK,295=295,S@35.99,259.01    15.56   \n",
       "8      SOK,SOK,SOK,115=115,S@2.00,113.00    10.26   \n",
       "9      SOK,SOK,SOK,115=115,S@113.00,2.00    89.74   \n",
       "\n",
       "                             Liver_c-Q  Lung_b  \\\n",
       "0  SOK,SOK,SOK,412=412,S@268.99,143.01     NaN   \n",
       "1  SOK,SOK,SOK,412=412,S@143.01,268.99     NaN   \n",
       "2                N,N,N,2=2,S@0.00,2.00    0.00   \n",
       "3                N,N,N,2=2,S@2.00,0.00  100.00   \n",
       "4                N,N,N,4=4,S@3.04,0.96   46.39   \n",
       "5                N,N,N,4=4,S@0.96,3.04   53.61   \n",
       "6   SOK,SOK,SOK,347=347,S@293.01,53.99   90.64   \n",
       "7   SOK,SOK,SOK,347=347,S@53.99,293.01    9.36   \n",
       "8        LOW,OK,LOW,39=39,S@4.00,35.00    6.78   \n",
       "9        LOW,OK,LOW,39=39,S@35.00,4.00   93.22   \n",
       "\n",
       "                             Lung_b-Q  Lung_e  \\\n",
       "0                     N,N,N,0=0,S@0,0     NaN   \n",
       "1                     N,N,N,0=0,S@0,0     NaN   \n",
       "2               N,N,N,3=3,S@0.00,3.00   25.55   \n",
       "3               N,N,N,3=3,S@3.00,0.00   74.45   \n",
       "4        OK,OK,OK,69=69,S@32.01,36.99   59.49   \n",
       "5        OK,OK,OK,69=69,S@36.99,32.01   40.51   \n",
       "6  SOK,SOK,SOK,299=299,S@271.01,27.99   88.58   \n",
       "7  SOK,SOK,SOK,299=299,S@27.99,271.01   11.42   \n",
       "8         OK,OK,OK,59=59,S@4.00,55.00   11.30   \n",
       "9         OK,OK,OK,59=59,S@55.00,4.00   88.70   \n",
       "\n",
       "                             Lung_e-Q  Lung_f  \\\n",
       "0                     N,N,N,0=0,S@0,0     NaN   \n",
       "1                     N,N,N,0=0,S@0,0     NaN   \n",
       "2               N,N,N,8=8,S@2.04,5.96   33.98   \n",
       "3               N,N,N,8=8,S@5.96,2.04   66.02   \n",
       "4     LOW,LOW,LOW,31=31,S@18.44,12.56   67.96   \n",
       "5     LOW,LOW,LOW,31=31,S@12.56,18.44   32.04   \n",
       "6  SOK,SOK,SOK,692=692,S@612.97,79.03   88.41   \n",
       "7  SOK,SOK,SOK,692=692,S@79.03,612.97   11.59   \n",
       "8  SOK,SOK,SOK,177=177,S@20.00,157.00    4.95   \n",
       "9  SOK,SOK,SOK,177=177,S@157.00,20.00   95.05   \n",
       "\n",
       "                                 Lung_f-Q  Lymph_node_b  \\\n",
       "0                         N,N,N,0=0,S@0,0           NaN   \n",
       "1                         N,N,N,0=0,S@0,0           NaN   \n",
       "2                   N,N,N,3=3,S@1.02,1.98          0.00   \n",
       "3                   N,N,N,3=3,S@1.98,1.02        100.00   \n",
       "4            OK,OK,OK,48=48,S@32.62,15.38         50.53   \n",
       "5            OK,OK,OK,48=48,S@15.38,32.62         49.47   \n",
       "6  SOK,SOK,SOK,1277=1277,S@1129.00,148.00         89.70   \n",
       "7  SOK,SOK,SOK,1277=1277,S@148.00,1129.00         10.30   \n",
       "8      SOK,SOK,SOK,202=202,S@10.00,192.00          7.84   \n",
       "9      SOK,SOK,SOK,202=202,S@192.00,10.00         92.16   \n",
       "\n",
       "                       Lymph_node_b-Q  Lymph_node_c  \\\n",
       "0                     N,N,N,0=0,S@0,0           NaN   \n",
       "1                     N,N,N,0=0,S@0,0           NaN   \n",
       "2               N,N,N,2=2,S@0.00,2.00         20.47   \n",
       "3               N,N,N,2=2,S@2.00,0.00         79.53   \n",
       "4        OK,OK,OK,53=53,S@26.78,26.22         51.47   \n",
       "5        OK,OK,OK,53=53,S@26.22,26.78         48.53   \n",
       "6  SOK,SOK,SOK,592=591,S@531.02,60.98         89.61   \n",
       "7  SOK,SOK,SOK,592=591,S@60.98,531.02         10.39   \n",
       "8  SOK,SOK,SOK,204=204,S@15.99,188.01         10.04   \n",
       "9  SOK,SOK,SOK,204=204,S@188.01,15.99         89.96   \n",
       "\n",
       "                        Lymph_node_c-Q     MNC  \\\n",
       "0                      N,N,N,0=0,S@0,0     NaN   \n",
       "1                      N,N,N,0=0,S@0,0     NaN   \n",
       "2                N,N,N,5=5,S@1.02,3.98    0.00   \n",
       "3                N,N,N,5=5,S@3.98,1.02  100.00   \n",
       "4         OK,OK,OK,50=50,S@25.73,24.27   64.30   \n",
       "5         OK,OK,OK,50=50,S@24.27,25.73   35.70   \n",
       "6   SOK,SOK,SOK,847=847,S@759.00,88.00   85.00   \n",
       "7   SOK,SOK,SOK,847=847,S@88.00,759.00   15.00   \n",
       "8  SOK,SOK,SOK,223=221,C1@22.39,200.61   30.95   \n",
       "9  SOK,SOK,SOK,223=221,C1@200.61,22.39   69.05   \n",
       "\n",
       "                               MNC-Q     MSC  \\\n",
       "0                    N,N,N,0=0,S@0,0     NaN   \n",
       "1                    N,N,N,0=0,S@0,0     NaN   \n",
       "2              N,N,N,3=3,S@0.00,3.00    0.00   \n",
       "3              N,N,N,3=3,S@3.00,0.00  100.00   \n",
       "4  SOK,SOK,SOK,143=143,S@91.95,51.05   66.13   \n",
       "5  SOK,SOK,SOK,143=143,S@51.05,91.95   33.87   \n",
       "6        OK,OK,OK,40=40,S@34.00,6.00   87.85   \n",
       "7        OK,OK,OK,40=40,S@6.00,34.00   12.15   \n",
       "8       OK,OK,OK,42=42,S@13.00,29.00    0.78   \n",
       "9       OK,OK,OK,42=42,S@29.00,13.00   99.22   \n",
       "\n",
       "                                MSC-Q  Melanocytes  \\\n",
       "0                     N,N,N,0=0,S@0,0          NaN   \n",
       "1                     N,N,N,0=0,S@0,0          NaN   \n",
       "2                     N,N,N,1=1,S@0,0          NaN   \n",
       "3                     N,N,N,1=1,S@0,0          NaN   \n",
       "4  SOK,SOK,SOK,179=179,S@118.37,60.63        59.49   \n",
       "5  SOK,SOK,SOK,179=179,S@60.63,118.37        40.51   \n",
       "6  SOK,SOK,SOK,354=354,S@310.99,43.01        86.82   \n",
       "7  SOK,SOK,SOK,354=354,S@43.01,310.99        13.18   \n",
       "8   SOK,SOK,SOK,129=129,S@1.01,127.99         0.00   \n",
       "9   SOK,SOK,SOK,129=129,S@127.99,1.01       100.00   \n",
       "\n",
       "                        Melanocytes-Q  Microglia            Microglia-Q  \\\n",
       "0                     N,N,N,0=0,S@0,0        NaN        N,N,N,0=0,S@0,0   \n",
       "1                     N,N,N,0=0,S@0,0        NaN        N,N,N,0=0,S@0,0   \n",
       "2                     N,N,N,0=0,S@0,0        NaN        N,N,N,0=0,S@0,0   \n",
       "3                     N,N,N,0=0,S@0,0        NaN        N,N,N,0=0,S@0,0   \n",
       "4        OK,OK,OK,62=62,S@36.88,25.12       61.4  N,N,N,5=5,S@3.07,1.93   \n",
       "5        OK,OK,OK,62=62,S@25.12,36.88       38.6  N,N,N,5=5,S@1.93,3.07   \n",
       "6  SOK,SOK,SOK,387=387,S@335.99,51.01      100.0  N,N,N,3=3,S@3.00,0.00   \n",
       "7  SOK,SOK,SOK,387=387,S@51.01,335.99        0.0  N,N,N,3=3,S@0.00,3.00   \n",
       "8         OK,OK,OK,47=47,S@0.00,47.00        NaN        N,N,N,0=0,S@0,0   \n",
       "9         OK,OK,OK,47=47,S@47.00,0.00        NaN        N,N,N,0=0,S@0,0   \n",
       "\n",
       "   Muscle_b                          Muscle_b-Q  Muscle_d  \\\n",
       "0       NaN                     N,N,N,0=0,S@0,0       NaN   \n",
       "1       NaN                     N,N,N,0=0,S@0,0       NaN   \n",
       "2       NaN                     N,N,N,0=0,S@0,0     50.72   \n",
       "3       NaN                     N,N,N,0=0,S@0,0     49.28   \n",
       "4     73.88    VLOW,VLOW,VLOW,11=11,S@8.13,2.87     78.78   \n",
       "5     26.12    VLOW,VLOW,VLOW,11=11,S@2.87,8.13     21.22   \n",
       "6     85.50  SOK,SOK,SOK,200=200,S@171.00,29.00     88.09   \n",
       "7     14.50  SOK,SOK,SOK,200=200,S@29.00,171.00     11.91   \n",
       "8      0.48   SOK,SOK,SOK,209=209,S@1.00,208.00      1.73   \n",
       "9     99.52   SOK,SOK,SOK,209=209,S@208.00,1.00     98.27   \n",
       "\n",
       "                           Muscle_d-Q  Muscle_e  \\\n",
       "0                     N,N,N,0=0,S@0,0       NaN   \n",
       "1                     N,N,N,0=0,S@0,0       NaN   \n",
       "2               N,N,N,2=2,S@1.01,0.99      0.00   \n",
       "3               N,N,N,2=2,S@0.99,1.01    100.00   \n",
       "4   VLOW,VLOW,VLOW,18=18,S@14.18,3.82     70.80   \n",
       "5   VLOW,VLOW,VLOW,18=18,S@3.82,14.18     29.20   \n",
       "6  SOK,SOK,SOK,470=470,S@414.02,55.98     90.11   \n",
       "7  SOK,SOK,SOK,470=470,S@55.98,414.02      9.89   \n",
       "8   SOK,SOK,SOK,173=173,S@2.99,170.01      1.89   \n",
       "9   SOK,SOK,SOK,173=173,S@170.01,2.99     98.11   \n",
       "\n",
       "                           Muscle_e-Q  NPC_a  \\\n",
       "0                     N,N,N,0=0,S@0,0    NaN   \n",
       "1                     N,N,N,0=0,S@0,0    NaN   \n",
       "2                     N,N,N,1=1,S@0,0    NaN   \n",
       "3                     N,N,N,1=1,S@0,0    NaN   \n",
       "4      LOW,LOW,LOW,23=23,S@16.28,6.72  45.90   \n",
       "5      LOW,LOW,LOW,23=23,S@6.72,16.28  54.10   \n",
       "6  SOK,SOK,SOK,435=435,S@391.98,43.02  87.77   \n",
       "7  SOK,SOK,SOK,435=435,S@43.02,391.98  12.23   \n",
       "8   SOK,SOK,SOK,317=317,S@5.99,311.01   2.83   \n",
       "9   SOK,SOK,SOK,317=317,S@311.01,5.99  97.17   \n",
       "\n",
       "                              NPC_a-Q  NPC_b  \\\n",
       "0                     N,N,N,0=0,S@0,0    NaN   \n",
       "1                     N,N,N,0=0,S@0,0    NaN   \n",
       "2                     N,N,N,0=0,S@0,0    NaN   \n",
       "3                     N,N,N,0=0,S@0,0    NaN   \n",
       "4     LOW,LOW,LOW,36=36,S@16.52,19.48  54.24   \n",
       "5     LOW,LOW,LOW,36=36,S@19.48,16.52  45.76   \n",
       "6  SOK,SOK,SOK,376=376,S@330.02,45.98  87.89   \n",
       "7  SOK,SOK,SOK,376=376,S@45.98,330.02  12.11   \n",
       "8   SOK,SOK,SOK,106=106,S@3.00,103.00   1.82   \n",
       "9   SOK,SOK,SOK,106=106,S@103.00,3.00  98.18   \n",
       "\n",
       "                              NPC_b-Q  Neuroblastoma  \\\n",
       "0                     N,N,N,0=0,S@0,0            NaN   \n",
       "1                     N,N,N,0=0,S@0,0            NaN   \n",
       "2                     N,N,N,0=0,S@0,0          43.57   \n",
       "3                     N,N,N,0=0,S@0,0          56.43   \n",
       "4        OK,OK,OK,72=72,S@39.05,32.95          63.28   \n",
       "5        OK,OK,OK,72=72,S@32.95,39.05          36.72   \n",
       "6  SOK,SOK,SOK,421=421,S@370.02,50.98          86.57   \n",
       "7  SOK,SOK,SOK,421=421,S@50.98,370.02          13.43   \n",
       "8   SOK,SOK,SOK,110=110,S@2.00,108.00           2.59   \n",
       "9   SOK,SOK,SOK,110=110,S@108.00,2.00          97.41   \n",
       "\n",
       "                      Neuroblastoma-Q  Neurons        Neurons-Q  \\\n",
       "0                     N,N,N,0=0,S@0,0      NaN  N,N,N,0=0,S@0,0   \n",
       "1                     N,N,N,0=0,S@0,0      NaN  N,N,N,0=0,S@0,0   \n",
       "2               N,N,N,7=7,S@3.05,3.95      NaN  N,N,N,0=0,S@0,0   \n",
       "3               N,N,N,7=7,S@3.95,3.05      NaN  N,N,N,0=0,S@0,0   \n",
       "4   SOK,SOK,SOK,105=105,S@66.44,38.56    100.0  N,N,N,1=1,S@0,0   \n",
       "5   SOK,SOK,SOK,105=105,S@38.56,66.44      0.0  N,N,N,1=1,S@0,0   \n",
       "6  SOK,SOK,SOK,417=417,S@361.00,56.00      NaN  N,N,N,0=0,S@0,0   \n",
       "7  SOK,SOK,SOK,417=417,S@56.00,361.00      NaN  N,N,N,0=0,S@0,0   \n",
       "8   SOK,SOK,SOK,116=116,S@3.00,113.00      NaN  N,N,N,0=0,S@0,0   \n",
       "9   SOK,SOK,SOK,116=116,S@113.00,3.00      NaN  N,N,N,0=0,S@0,0   \n",
       "\n",
       "   Oligodendrocytes      Oligodendrocytes-Q  Ovary_a  \\\n",
       "0               NaN         N,N,N,0=0,S@0,0      NaN   \n",
       "1               NaN         N,N,N,0=0,S@0,0      NaN   \n",
       "2               NaN         N,N,N,0=0,S@0,0      NaN   \n",
       "3               NaN         N,N,N,0=0,S@0,0      NaN   \n",
       "4            100.00  N,N,N,4=3,C2@4.00,0.00    43.55   \n",
       "5              0.00  N,N,N,4=3,C2@0.00,4.00    56.45   \n",
       "6            100.00   N,N,N,2=2,S@2.00,0.00    89.19   \n",
       "7              0.00   N,N,N,2=2,S@0.00,2.00    10.81   \n",
       "8             16.67   N,N,N,6=6,S@1.00,5.00     1.29   \n",
       "9             83.33   N,N,N,6=6,S@5.00,1.00    98.71   \n",
       "\n",
       "                            Ovary_a-Q  Ovary_b  \\\n",
       "0                     N,N,N,0=0,S@0,0     0.00   \n",
       "1                     N,N,N,0=0,S@0,0   100.00   \n",
       "2                     N,N,N,0=0,S@0,0     0.00   \n",
       "3                     N,N,N,0=0,S@0,0   100.00   \n",
       "4   VLOW,VLOW,VLOW,19=19,S@8.27,10.73    29.79   \n",
       "5   VLOW,VLOW,VLOW,19=19,S@10.73,8.27    70.21   \n",
       "6  SOK,SOK,SOK,370=370,S@330.00,40.00    91.16   \n",
       "7  SOK,SOK,SOK,370=370,S@40.00,330.00     8.84   \n",
       "8   SOK,SOK,SOK,155=155,S@2.00,153.00     4.73   \n",
       "9   SOK,SOK,SOK,155=155,S@153.00,2.00    95.27   \n",
       "\n",
       "                                Ovary_b-Q  Placenta_Epith  \\\n",
       "0                   N,N,N,4=4,S@0.00,4.00           50.00   \n",
       "1                   N,N,N,4=4,S@4.00,0.00           50.00   \n",
       "2                   N,N,N,6=6,S@0.00,6.00             NaN   \n",
       "3                   N,N,N,6=6,S@6.00,0.00             NaN   \n",
       "4                   N,N,N,7=7,S@2.09,4.91           70.09   \n",
       "5                   N,N,N,7=7,S@4.91,2.09           29.91   \n",
       "6  SOK,SOK,SOK,1425=1425,S@1299.03,125.97           90.59   \n",
       "7  SOK,SOK,SOK,1425=1425,S@125.97,1299.03            9.41   \n",
       "8      SOK,SOK,SOK,275=275,S@13.01,261.99            5.34   \n",
       "9      SOK,SOK,SOK,275=275,S@261.99,13.01           94.66   \n",
       "\n",
       "                     Placenta_Epith-Q  Placenta_a  \\\n",
       "0    VLOW,VLOW,VLOW,10=10,S@5.00,5.00         NaN   \n",
       "1    VLOW,VLOW,VLOW,10=10,S@5.00,5.00         NaN   \n",
       "2                     N,N,N,0=0,S@0,0      100.00   \n",
       "3                     N,N,N,0=0,S@0,0        0.00   \n",
       "4  SOK,SOK,SOK,260=260,S@182.23,77.77       57.00   \n",
       "5  SOK,SOK,SOK,260=260,S@77.77,182.23       43.00   \n",
       "6  SOK,SOK,SOK,457=457,S@414.00,43.00       88.20   \n",
       "7  SOK,SOK,SOK,457=457,S@43.00,414.00       11.80   \n",
       "8   SOK,SOK,SOK,131=131,S@7.00,124.00        2.02   \n",
       "9   SOK,SOK,SOK,131=131,S@124.00,7.00       97.98   \n",
       "\n",
       "                             Placenta_a-Q  Placenta_b  \\\n",
       "0                         N,N,N,0=0,S@0,0         NaN   \n",
       "1                         N,N,N,0=0,S@0,0         NaN   \n",
       "2                         N,N,N,1=1,S@0,0         0.0   \n",
       "3                         N,N,N,1=1,S@0,0       100.0   \n",
       "4            OK,OK,OK,54=54,S@30.78,23.22        46.2   \n",
       "5            OK,OK,OK,54=54,S@23.22,30.78        53.8   \n",
       "6  SOK,SOK,SOK,1178=1178,S@1039.00,139.00        90.6   \n",
       "7  SOK,SOK,SOK,1178=1178,S@139.00,1039.00         9.4   \n",
       "8            OK,SOK,OK,99=99,S@2.00,97.00         0.0   \n",
       "9            OK,SOK,OK,99=99,S@97.00,2.00       100.0   \n",
       "\n",
       "                         Placenta_b-Q  Placenta_c  \\\n",
       "0                     N,N,N,0=0,S@0,0         NaN   \n",
       "1                     N,N,N,0=0,S@0,0         NaN   \n",
       "2                     N,N,N,1=1,S@0,0         NaN   \n",
       "3                     N,N,N,1=1,S@0,0         NaN   \n",
       "4        OK,OK,OK,76=76,S@35.11,40.89       52.64   \n",
       "5        OK,OK,OK,76=76,S@40.89,35.11       47.36   \n",
       "6  SOK,SOK,SOK,149=149,S@134.99,14.01       88.36   \n",
       "7  SOK,SOK,SOK,149=149,S@14.01,134.99       11.64   \n",
       "8      LOW,LOW,LOW,38=38,S@0.00,38.00        0.00   \n",
       "9      LOW,LOW,LOW,38=38,S@38.00,0.00      100.00   \n",
       "\n",
       "                          Placenta_c-Q  Prostate_b  \\\n",
       "0                      N,N,N,0=0,S@0,0         NaN   \n",
       "1                      N,N,N,0=0,S@0,0         NaN   \n",
       "2                      N,N,N,0=0,S@0,0      100.00   \n",
       "3                      N,N,N,0=0,S@0,0        0.00   \n",
       "4  SOK,SOK,SOK,299=298,S@157.39,141.61       49.04   \n",
       "5  SOK,SOK,SOK,299=298,S@141.61,157.39       50.96   \n",
       "6   SOK,SOK,SOK,670=670,S@592.01,77.99       92.93   \n",
       "7   SOK,SOK,SOK,670=670,S@77.99,592.01        7.07   \n",
       "8       LOW,LOW,LOW,21=21,S@0.00,21.00        4.62   \n",
       "9       LOW,LOW,LOW,21=21,S@21.00,0.00       95.38   \n",
       "\n",
       "                         Prostate_b-Q  Prostate_c  \\\n",
       "0                     N,N,N,0=0,S@0,0         NaN   \n",
       "1                     N,N,N,0=0,S@0,0         NaN   \n",
       "2                     N,N,N,1=1,S@0,0       57.85   \n",
       "3                     N,N,N,1=1,S@0,0       42.15   \n",
       "4   SOK,SOK,SOK,103=103,S@50.51,52.49       70.47   \n",
       "5   SOK,SOK,SOK,103=103,S@52.49,50.51       29.53   \n",
       "6  SOK,SOK,SOK,523=523,S@486.02,36.98       88.21   \n",
       "7  SOK,SOK,SOK,523=523,S@36.98,486.02       11.79   \n",
       "8         OK,OK,OK,65=65,S@3.00,62.00        3.79   \n",
       "9         OK,OK,OK,65=65,S@62.00,3.00       96.21   \n",
       "\n",
       "                         Prostate_c-Q  Prostate_d  \\\n",
       "0                     N,N,N,0=0,S@0,0         NaN   \n",
       "1                     N,N,N,0=0,S@0,0         NaN   \n",
       "2               N,N,N,7=7,S@4.05,2.95      100.00   \n",
       "3               N,N,N,7=7,S@2.95,4.05        0.00   \n",
       "4      LOW,OK,LOW,39=39,S@27.48,11.52       55.71   \n",
       "5      LOW,OK,LOW,39=39,S@11.52,27.48       44.29   \n",
       "6  SOK,SOK,SOK,526=526,S@463.98,62.02       87.11   \n",
       "7  SOK,SOK,SOK,526=526,S@62.02,463.98       12.89   \n",
       "8  SOK,SOK,SOK,320=319,S@12.13,307.87        3.94   \n",
       "9  SOK,SOK,SOK,320=319,S@307.87,12.13       96.06   \n",
       "\n",
       "                             Prostate_d-Q  Retina_a  \\\n",
       "0                         N,N,N,0=0,S@0,0       NaN   \n",
       "1                         N,N,N,0=0,S@0,0       NaN   \n",
       "2                         N,N,N,1=1,S@0,0      4.67   \n",
       "3                         N,N,N,1=1,S@0,0     95.33   \n",
       "4            OK,OK,OK,94=94,S@52.37,41.63     58.63   \n",
       "5            OK,OK,OK,94=94,S@41.63,52.37     41.37   \n",
       "6  SOK,SOK,SOK,1272=1272,S@1108.04,163.96     90.30   \n",
       "7  SOK,SOK,SOK,1272=1272,S@163.96,1108.04      9.70   \n",
       "8      SOK,SOK,SOK,279=279,S@10.99,268.01      8.93   \n",
       "9      SOK,SOK,SOK,279=279,S@268.01,10.99     91.07   \n",
       "\n",
       "                            Retina_a-Q  Retina_macular  \\\n",
       "0                      N,N,N,0=0,S@0,0             NaN   \n",
       "1                      N,N,N,0=0,S@0,0             NaN   \n",
       "2       LOW,LOW,LOW,22=22,S@1.03,20.97            0.00   \n",
       "3       LOW,LOW,LOW,22=22,S@20.97,1.03          100.00   \n",
       "4  SOK,SOK,SOK,285=285,S@167.10,117.90           61.45   \n",
       "5  SOK,SOK,SOK,285=285,S@117.90,167.10           38.55   \n",
       "6   SOK,SOK,SOK,330=330,S@297.99,32.01           86.61   \n",
       "7   SOK,SOK,SOK,330=330,S@32.01,297.99           13.39   \n",
       "8   SOK,SOK,SOK,168=168,S@15.00,153.00            3.43   \n",
       "9   SOK,SOK,SOK,168=168,S@153.00,15.00           96.57   \n",
       "\n",
       "                         Retina_macular-Q  Retina_peripheral  \\\n",
       "0                         N,N,N,0=0,S@0,0                NaN   \n",
       "1                         N,N,N,0=0,S@0,0                NaN   \n",
       "2                         N,N,N,1=1,S@0,0              40.70   \n",
       "3                         N,N,N,1=1,S@0,0              59.30   \n",
       "4     SOK,SOK,SOK,393=393,S@241.50,151.50              59.14   \n",
       "5     SOK,SOK,SOK,393=393,S@151.50,241.50              40.86   \n",
       "6  SOK,SOK,SOK,1158=1157,S@1002.94,155.06              91.95   \n",
       "7  SOK,SOK,SOK,1158=1157,S@155.06,1002.94               8.05   \n",
       "8       SOK,SOK,SOK,233=233,S@7.99,225.01               1.05   \n",
       "9       SOK,SOK,SOK,233=233,S@225.01,7.99              98.95   \n",
       "\n",
       "                     Retina_peripheral-Q   Skin  \\\n",
       "0                        N,N,N,0=0,S@0,0    NaN   \n",
       "1                        N,N,N,0=0,S@0,0    NaN   \n",
       "2                 N,N,N,5=4,C2@2.04,2.96    NaN   \n",
       "3                 N,N,N,5=4,C2@2.96,2.04    NaN   \n",
       "4    SOK,SOK,SOK,402=402,S@237.74,164.26  65.45   \n",
       "5    SOK,SOK,SOK,402=402,S@164.26,237.74  34.55   \n",
       "6  SOK,SOK,SOK,1118=1118,S@1028.00,90.00  89.76   \n",
       "7  SOK,SOK,SOK,1118=1118,S@90.00,1028.00  10.24   \n",
       "8      SOK,SOK,SOK,191=191,S@2.01,188.99   1.02   \n",
       "9      SOK,SOK,SOK,191=191,S@188.99,2.01  98.98   \n",
       "\n",
       "                               Skin-Q  Small_intestine  \\\n",
       "0                     N,N,N,0=0,S@0,0            82.75   \n",
       "1                     N,N,N,0=0,S@0,0            17.25   \n",
       "2                     N,N,N,0=0,S@0,0             0.00   \n",
       "3                     N,N,N,0=0,S@0,0           100.00   \n",
       "4        OK,OK,OK,78=78,S@51.05,26.95            49.75   \n",
       "5        OK,OK,OK,78=78,S@26.95,51.05            50.25   \n",
       "6  SOK,SOK,SOK,381=381,S@341.99,39.01            86.55   \n",
       "7  SOK,SOK,SOK,381=381,S@39.01,341.99            13.45   \n",
       "8        OK,SOK,OK,98=98,S@1.00,97.00             5.88   \n",
       "9        OK,SOK,OK,98=98,S@97.00,1.00            94.12   \n",
       "\n",
       "                    Small_intestine-Q  Spleen_a  \\\n",
       "0  SOK,SOK,SOK,284=284,S@235.01,48.99       NaN   \n",
       "1  SOK,SOK,SOK,284=284,S@48.99,235.01       NaN   \n",
       "2               N,N,N,3=3,S@0.00,3.00       NaN   \n",
       "3               N,N,N,3=3,S@3.00,0.00       NaN   \n",
       "4     LOW,LOW,LOW,29=29,S@14.43,14.57     58.58   \n",
       "5     LOW,LOW,LOW,29=29,S@14.57,14.43     41.42   \n",
       "6  SOK,SOK,SOK,736=736,S@637.01,98.99     82.08   \n",
       "7  SOK,SOK,SOK,736=736,S@98.99,637.01     17.92   \n",
       "8  SOK,SOK,SOK,221=221,S@12.99,208.01      5.80   \n",
       "9  SOK,SOK,SOK,221=221,S@208.01,12.99     94.20   \n",
       "\n",
       "                           Spleen_a-Q  Spleen_b  \\\n",
       "0                     N,N,N,0=0,S@0,0       NaN   \n",
       "1                     N,N,N,0=0,S@0,0       NaN   \n",
       "2                     N,N,N,0=0,S@0,0      8.56   \n",
       "3                     N,N,N,0=0,S@0,0     91.44   \n",
       "4   SOK,SOK,SOK,133=133,S@77.91,55.09     62.18   \n",
       "5   SOK,SOK,SOK,133=133,S@55.09,77.91     37.82   \n",
       "6  SOK,SOK,SOK,279=279,S@229.00,50.00     88.10   \n",
       "7  SOK,SOK,SOK,279=279,S@50.00,229.00     11.90   \n",
       "8         OK,OK,OK,69=69,S@4.00,65.00      5.70   \n",
       "9         OK,OK,OK,69=69,S@65.00,4.00     94.30   \n",
       "\n",
       "                           Spleen_b-Q  Stomach_a  \\\n",
       "0                     N,N,N,0=0,S@0,0     100.00   \n",
       "1                     N,N,N,0=0,S@0,0       0.00   \n",
       "2   VLOW,VLOW,VLOW,12=12,S@1.03,10.97        NaN   \n",
       "3   VLOW,VLOW,VLOW,12=12,S@10.97,1.03        NaN   \n",
       "4        OK,OK,OK,51=51,S@31.71,19.29      81.46   \n",
       "5        OK,OK,OK,51=51,S@19.29,31.71      18.54   \n",
       "6  SOK,SOK,SOK,630=630,S@555.03,74.97      15.49   \n",
       "7  SOK,SOK,SOK,630=630,S@74.97,555.03      84.51   \n",
       "8   SOK,SOK,SOK,158=158,S@9.01,148.99       0.00   \n",
       "9   SOK,SOK,SOK,158=158,S@148.99,9.01     100.00   \n",
       "\n",
       "                          Stomach_a-Q  Stomach_b  \\\n",
       "0               N,N,N,3=3,S@3.00,0.00      71.43   \n",
       "1               N,N,N,3=3,S@0.00,3.00      28.57   \n",
       "2                     N,N,N,0=0,S@0,0      33.98   \n",
       "3                     N,N,N,0=0,S@0,0      66.02   \n",
       "4  SOK,SOK,SOK,180=180,S@146.63,33.37      62.66   \n",
       "5  SOK,SOK,SOK,180=180,S@33.37,146.63      37.34   \n",
       "6  SOK,SOK,SOK,568=568,S@87.98,480.02      86.94   \n",
       "7  SOK,SOK,SOK,568=568,S@480.02,87.98      13.06   \n",
       "8         OK,OK,OK,65=65,S@0.00,65.00       3.42   \n",
       "9         OK,OK,OK,65=65,S@65.00,0.00      96.58   \n",
       "\n",
       "                             Stomach_b-Q  Sup_Temporal_Gyrus  \\\n",
       "0      VLOW,VLOW,VLOW,14=14,S@10.00,4.00                 NaN   \n",
       "1      VLOW,VLOW,VLOW,14=14,S@4.00,10.00                 NaN   \n",
       "2                  N,N,N,3=3,S@1.02,1.98                 NaN   \n",
       "3                  N,N,N,3=3,S@1.98,1.02                 NaN   \n",
       "4           OK,OK,OK,49=47,S@30.70,18.30               57.96   \n",
       "5           OK,OK,OK,49=47,S@18.30,30.70               42.04   \n",
       "6  SOK,SOK,SOK,1034=1034,S@898.96,135.04               90.37   \n",
       "7  SOK,SOK,SOK,1034=1034,S@135.04,898.96                9.63   \n",
       "8      SOK,SOK,SOK,117=117,S@4.00,113.00                1.89   \n",
       "9      SOK,SOK,SOK,117=117,S@113.00,4.00               98.11   \n",
       "\n",
       "                 Sup_Temporal_Gyrus-Q  Testis_a  \\\n",
       "0                     N,N,N,0=0,S@0,0      0.00   \n",
       "1                     N,N,N,0=0,S@0,0    100.00   \n",
       "2                     N,N,N,0=0,S@0,0       NaN   \n",
       "3                     N,N,N,0=0,S@0,0       NaN   \n",
       "4        OK,OK,OK,46=46,S@26.66,19.34     78.16   \n",
       "5        OK,OK,OK,46=46,S@19.34,26.66     21.84   \n",
       "6  SOK,SOK,SOK,218=218,S@197.01,20.99     90.01   \n",
       "7  SOK,SOK,SOK,218=218,S@20.99,197.01      9.99   \n",
       "8   SOK,SOK,SOK,265=265,S@5.01,259.99      0.47   \n",
       "9   SOK,SOK,SOK,265=265,S@259.99,5.01     99.53   \n",
       "\n",
       "                             Testis_a-Q  Testis_b  \\\n",
       "0                       N,N,N,1=1,S@0,0       NaN   \n",
       "1                       N,N,N,1=1,S@0,0       NaN   \n",
       "2                       N,N,N,0=0,S@0,0     80.46   \n",
       "3                       N,N,N,0=0,S@0,0     19.54   \n",
       "4        LOW,LOW,LOW,35=35,S@27.36,7.64     71.62   \n",
       "5        LOW,LOW,LOW,35=35,S@7.64,27.36     28.38   \n",
       "6    SOK,SOK,SOK,831=831,S@747.98,83.02     90.25   \n",
       "7    SOK,SOK,SOK,831=831,S@83.02,747.98      9.75   \n",
       "8  SOK,SOK,SOK,1260=1259,S@5.92,1254.08      2.33   \n",
       "9  SOK,SOK,SOK,1260=1259,S@1254.08,5.92     97.67   \n",
       "\n",
       "                           Testis_b-Q  Testis_c  \\\n",
       "0                     N,N,N,0=0,S@0,0       NaN   \n",
       "1                     N,N,N,0=0,S@0,0       NaN   \n",
       "2               N,N,N,5=5,S@4.02,0.98     20.47   \n",
       "3               N,N,N,5=5,S@0.98,4.02     79.53   \n",
       "4       OK,SOK,OK,98=98,S@70.19,27.81     55.88   \n",
       "5       OK,SOK,OK,98=98,S@27.81,70.19     44.12   \n",
       "6  SOK,SOK,SOK,236=236,S@212.99,23.01     88.64   \n",
       "7  SOK,SOK,SOK,236=236,S@23.01,212.99     11.36   \n",
       "8   SOK,SOK,SOK,129=129,S@3.01,125.99      2.36   \n",
       "9   SOK,SOK,SOK,129=129,S@125.99,3.01     97.64   \n",
       "\n",
       "                               Testis_c-Q  Thymus_a  \\\n",
       "0                         N,N,N,0=0,S@0,0       NaN   \n",
       "1                         N,N,N,0=0,S@0,0       NaN   \n",
       "2          LOW,LOW,LOW,25=25,S@5.12,19.88       NaN   \n",
       "3          LOW,LOW,LOW,25=25,S@19.88,5.12       NaN   \n",
       "4       SOK,SOK,SOK,147=147,S@82.14,64.86     51.47   \n",
       "5       SOK,SOK,SOK,147=147,S@64.86,82.14     48.53   \n",
       "6  SOK,SOK,SOK,1408=1408,S@1248.05,159.95     88.17   \n",
       "7  SOK,SOK,SOK,1408=1408,S@159.95,1248.05     11.83   \n",
       "8   SOK,SOK,SOK,1227=1227,S@28.96,1198.04      4.55   \n",
       "9   SOK,SOK,SOK,1227=1227,S@1198.04,28.96     95.45   \n",
       "\n",
       "                           Thymus_a-Q  Thymus_b  \\\n",
       "0                     N,N,N,0=0,S@0,0       NaN   \n",
       "1                     N,N,N,0=0,S@0,0       NaN   \n",
       "2                     N,N,N,0=0,S@0,0       NaN   \n",
       "3                     N,N,N,0=0,S@0,0       NaN   \n",
       "4     LOW,LOW,LOW,26=26,S@13.38,12.62     56.18   \n",
       "5     LOW,LOW,LOW,26=26,S@12.62,13.38     43.82   \n",
       "6  SOK,SOK,SOK,169=169,S@149.01,19.99     83.52   \n",
       "7  SOK,SOK,SOK,169=169,S@19.99,149.01     16.48   \n",
       "8         OK,OK,OK,44=44,S@2.00,42.00      6.25   \n",
       "9         OK,OK,OK,44=44,S@42.00,2.00     93.75   \n",
       "\n",
       "                           Thymus_b-Q  Thyroid_b  \\\n",
       "0                     N,N,N,0=0,S@0,0        NaN   \n",
       "1                     N,N,N,0=0,S@0,0        NaN   \n",
       "2                     N,N,N,0=0,S@0,0     100.00   \n",
       "3                     N,N,N,0=0,S@0,0       0.00   \n",
       "4  SOK,SOK,SOK,201=201,S@112.92,88.08      53.05   \n",
       "5  SOK,SOK,SOK,201=201,S@88.08,112.92      46.95   \n",
       "6  SOK,SOK,SOK,261=261,S@217.99,43.01      92.41   \n",
       "7  SOK,SOK,SOK,261=261,S@43.01,217.99       7.59   \n",
       "8      LOW,LOW,LOW,32=32,S@2.00,30.00      11.21   \n",
       "9      LOW,LOW,LOW,32=32,S@30.00,2.00      88.79   \n",
       "\n",
       "                           Thyroid_b-Q  Thyroid_c  \\\n",
       "0                      N,N,N,0=0,S@0,0        NaN   \n",
       "1                      N,N,N,0=0,S@0,0        NaN   \n",
       "2                N,N,N,3=3,S@3.00,0.00       0.00   \n",
       "3                N,N,N,3=3,S@0.00,3.00     100.00   \n",
       "4  SOK,SOK,SOK,285=284,S@151.19,133.81      60.91   \n",
       "5  SOK,SOK,SOK,285=284,S@133.81,151.19      39.09   \n",
       "6   SOK,SOK,SOK,224=224,S@207.00,17.00      88.10   \n",
       "7   SOK,SOK,SOK,224=224,S@17.00,207.00      11.90   \n",
       "8    SOK,SOK,SOK,107=107,S@11.99,95.01       3.04   \n",
       "9    SOK,SOK,SOK,107=107,S@95.01,11.99      96.96   \n",
       "\n",
       "                           Thyroid_c-Q  Thyroid_d  \\\n",
       "0                      N,N,N,0=0,S@0,0        NaN   \n",
       "1                      N,N,N,0=0,S@0,0        NaN   \n",
       "2                N,N,N,4=4,S@0.00,4.00      50.72   \n",
       "3                N,N,N,4=4,S@4.00,0.00      49.28   \n",
       "4   SOK,SOK,SOK,242=242,S@147.40,94.60      60.15   \n",
       "5   SOK,SOK,SOK,242=242,S@94.60,147.40      39.85   \n",
       "6  SOK,SOK,SOK,891=891,S@784.97,106.03      87.64   \n",
       "7  SOK,SOK,SOK,891=891,S@106.03,784.97      12.36   \n",
       "8    SOK,SOK,SOK,263=263,S@8.00,255.00       4.76   \n",
       "9    SOK,SOK,SOK,263=263,S@255.00,8.00      95.24   \n",
       "\n",
       "                              Thyroid_d-Q  WBC_MNC_b  \\\n",
       "0                         N,N,N,0=0,S@0,0        NaN   \n",
       "1                         N,N,N,0=0,S@0,0        NaN   \n",
       "2                   N,N,N,2=2,S@1.01,0.99       0.00   \n",
       "3                   N,N,N,2=2,S@0.99,1.01     100.00   \n",
       "4       SOK,SOK,SOK,126=126,S@75.79,50.21      58.18   \n",
       "5       SOK,SOK,SOK,126=126,S@50.21,75.79      41.82   \n",
       "6  SOK,SOK,SOK,1408=1408,S@1233.97,174.03      86.46   \n",
       "7  SOK,SOK,SOK,1408=1408,S@174.03,1233.97      13.54   \n",
       "8      SOK,SOK,SOK,315=315,S@14.99,300.01       8.23   \n",
       "9      SOK,SOK,SOK,315=315,S@300.01,14.99      91.77   \n",
       "\n",
       "                             WBC_MNC_b-Q  WBC_MNC_c  \\\n",
       "0                        N,N,N,0=0,S@0,0        NaN   \n",
       "1                        N,N,N,0=0,S@0,0        NaN   \n",
       "2                        N,N,N,1=1,S@0,0       0.00   \n",
       "3                        N,N,N,1=1,S@0,0     100.00   \n",
       "4    SOK,SOK,SOK,460=460,S@267.63,192.37      58.67   \n",
       "5    SOK,SOK,SOK,460=460,S@192.37,267.63      41.33   \n",
       "6  SOK,SOK,SOK,1056=1056,S@913.02,142.98      89.44   \n",
       "7  SOK,SOK,SOK,1056=1056,S@142.98,913.02      10.56   \n",
       "8     SOK,SOK,SOK,158=158,S@13.00,145.00      12.50   \n",
       "9     SOK,SOK,SOK,158=158,S@145.00,13.00      87.50   \n",
       "\n",
       "                              WBC_MNC_c-Q  Whole_Brain_b  \\\n",
       "0                         N,N,N,0=0,S@0,0            NaN   \n",
       "1                         N,N,N,0=0,S@0,0            NaN   \n",
       "2                   N,N,N,4=4,S@0.00,4.00           0.00   \n",
       "3                   N,N,N,4=4,S@4.00,0.00         100.00   \n",
       "4     SOK,SOK,SOK,442=442,S@259.32,182.68          64.54   \n",
       "5     SOK,SOK,SOK,442=442,S@182.68,259.32          35.46   \n",
       "6  SOK,SOK,SOK,1184=1184,S@1058.97,125.03          89.80   \n",
       "7  SOK,SOK,SOK,1184=1184,S@125.03,1058.97          10.20   \n",
       "8      SOK,SOK,SOK,192=192,S@24.00,168.00           4.21   \n",
       "9      SOK,SOK,SOK,192=192,S@168.00,24.00          95.79   \n",
       "\n",
       "                      Whole_Brain_b-Q  iPS_a  \\\n",
       "0                     N,N,N,0=0,S@0,0    NaN   \n",
       "1                     N,N,N,0=0,S@0,0    NaN   \n",
       "2                     N,N,N,1=1,S@0,0  50.72   \n",
       "3                     N,N,N,1=1,S@0,0  49.28   \n",
       "4   SOK,SOK,SOK,103=101,S@66.48,36.52  70.21   \n",
       "5   SOK,SOK,SOK,103=101,S@36.52,66.48  29.79   \n",
       "6  SOK,SOK,SOK,441=441,S@396.02,44.98  90.87   \n",
       "7  SOK,SOK,SOK,441=441,S@44.98,396.02   9.13   \n",
       "8         OK,OK,OK,95=95,S@4.00,91.00   0.66   \n",
       "9         OK,OK,OK,95=95,S@91.00,4.00  99.34   \n",
       "\n",
       "                              iPS_a-Q   iPS_b  \\\n",
       "0                     N,N,N,0=0,S@0,0     NaN   \n",
       "1                     N,N,N,0=0,S@0,0     NaN   \n",
       "2              N,N,N,4=3,C2@2.03,1.97    0.00   \n",
       "3              N,N,N,4=3,C2@1.97,2.03  100.00   \n",
       "4        OK,OK,OK,58=58,S@40.72,17.28   59.24   \n",
       "5        OK,OK,OK,58=58,S@17.28,40.72   40.76   \n",
       "6  SOK,SOK,SOK,898=898,S@816.01,81.99   91.93   \n",
       "7  SOK,SOK,SOK,898=898,S@81.99,816.01    8.07   \n",
       "8   SOK,SOK,SOK,605=605,S@3.99,601.01    1.66   \n",
       "9   SOK,SOK,SOK,605=605,S@601.01,3.99   98.34   \n",
       "\n",
       "                                 iPS_b-Q  \n",
       "0                        N,N,N,0=0,S@0,0  \n",
       "1                        N,N,N,0=0,S@0,0  \n",
       "2                  N,N,N,4=4,S@0.00,4.00  \n",
       "3                  N,N,N,4=4,S@4.00,0.00  \n",
       "4           OK,OK,OK,64=64,S@37.91,26.09  \n",
       "5           OK,OK,OK,64=64,S@26.09,37.91  \n",
       "6  SOK,SOK,SOK,1140=1139,S@1048.00,92.00  \n",
       "7  SOK,SOK,SOK,1140=1139,S@92.00,1048.00  \n",
       "8     SOK,SOK,SOK,663=663,S@11.01,651.99  \n",
       "9     SOK,SOK,SOK,663=663,S@651.99,11.01  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "events.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20300"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "events= events  [ (events['LENGTH']>=3)  &  (events['COMPLEX'].isin(['S*','S'])) ]\n",
    "len(events)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# extract the events in the following tissues\n",
    "tissue={}\n",
    "\n",
    "#muscles\n",
    "tissue['Muscles']=['Heart_c' ,'Heart_a' ,'Heart_b','Muscle_b','Muscle_e']\n",
    "\n",
    "#Embryonic Brain\n",
    "#tissue['Embryonic']=['Embr_Forebrain_St13_14']\n",
    "\n",
    "#Neural\n",
    "tissue['Neural']=['Whole_Brain_b','Cortex','Retina_peripheral']\n",
    "\n",
    "\n",
    "#Placental\n",
    "tissue['Placental']=['Placenta_a' , 'Placenta_b' , 'Placenta_c' ]\n",
    "\n",
    "# Epithelial\n",
    "tissue['Epithelial']= [ 'Skin' , 'Placenta_Epith' , 'EpithelialCells'] \n",
    "\n",
    "\n",
    "# Digestive Tract\n",
    "tissue['Digestive']= [ 'Colon_b' ,'Stomach_a','Stomach_b'  ]\n",
    "\n",
    "# Liver\n",
    "tissue['liver']= ['Liver_a' , 'Liver_b' ,'Liver_c' ]\n",
    "\n",
    "# Kidney\n",
    "tissue['Kidney']=['Kidney_c','Kidney_b']\n",
    "\n",
    "# Adipose\n",
    "tissue['Adipose']= [ 'Adipose_b' , 'Adipose_c' , 'Adipose_d']\n",
    "\n",
    "\n",
    "# Testis\n",
    "tissue['Testis']=[ 'Testis_a', 'Testis_c']\n",
    "\n",
    "\n",
    "\n",
    "#Immune-Hematopoietic\n",
    "tissue['Immune-Hematopoietic']=['Bone_marrow_a', 'Bone_marrow_b','Lymph_node_c']\n",
    "\n",
    "#Ovary\n",
    "tissue['Ovary']=['Ovary_a','Ovary_b']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "tissues=[]\n",
    "for x in list(tissue.values()):\n",
    "    tissues=tissues+x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "events=events[['EVENT']+tissues+[ t+'-Q' for t in tissues ]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>EVENT</th>\n",
       "      <th>Heart_c</th>\n",
       "      <th>Heart_a</th>\n",
       "      <th>Heart_b</th>\n",
       "      <th>Muscle_b</th>\n",
       "      <th>Muscle_e</th>\n",
       "      <th>Whole_Brain_b</th>\n",
       "      <th>Cortex</th>\n",
       "      <th>Retina_peripheral</th>\n",
       "      <th>Placenta_a</th>\n",
       "      <th>Placenta_b</th>\n",
       "      <th>Placenta_c</th>\n",
       "      <th>Skin</th>\n",
       "      <th>Placenta_Epith</th>\n",
       "      <th>EpithelialCells</th>\n",
       "      <th>Colon_b</th>\n",
       "      <th>Stomach_a</th>\n",
       "      <th>Stomach_b</th>\n",
       "      <th>Liver_a</th>\n",
       "      <th>Liver_b</th>\n",
       "      <th>Liver_c</th>\n",
       "      <th>Kidney_c</th>\n",
       "      <th>Kidney_b</th>\n",
       "      <th>Adipose_b</th>\n",
       "      <th>Adipose_c</th>\n",
       "      <th>Adipose_d</th>\n",
       "      <th>Testis_a</th>\n",
       "      <th>Testis_c</th>\n",
       "      <th>Bone_marrow_a</th>\n",
       "      <th>Bone_marrow_b</th>\n",
       "      <th>Lymph_node_c</th>\n",
       "      <th>Ovary_a</th>\n",
       "      <th>Ovary_b</th>\n",
       "      <th>Heart_c-Q</th>\n",
       "      <th>Heart_a-Q</th>\n",
       "      <th>Heart_b-Q</th>\n",
       "      <th>Muscle_b-Q</th>\n",
       "      <th>Muscle_e-Q</th>\n",
       "      <th>Whole_Brain_b-Q</th>\n",
       "      <th>Cortex-Q</th>\n",
       "      <th>Retina_peripheral-Q</th>\n",
       "      <th>Placenta_a-Q</th>\n",
       "      <th>Placenta_b-Q</th>\n",
       "      <th>Placenta_c-Q</th>\n",
       "      <th>Skin-Q</th>\n",
       "      <th>Placenta_Epith-Q</th>\n",
       "      <th>EpithelialCells-Q</th>\n",
       "      <th>Colon_b-Q</th>\n",
       "      <th>Stomach_a-Q</th>\n",
       "      <th>Stomach_b-Q</th>\n",
       "      <th>Liver_a-Q</th>\n",
       "      <th>Liver_b-Q</th>\n",
       "      <th>Liver_c-Q</th>\n",
       "      <th>Kidney_c-Q</th>\n",
       "      <th>Kidney_b-Q</th>\n",
       "      <th>Adipose_b-Q</th>\n",
       "      <th>Adipose_c-Q</th>\n",
       "      <th>Adipose_d-Q</th>\n",
       "      <th>Testis_a-Q</th>\n",
       "      <th>Testis_c-Q</th>\n",
       "      <th>Bone_marrow_a-Q</th>\n",
       "      <th>Bone_marrow_b-Q</th>\n",
       "      <th>Lymph_node_c-Q</th>\n",
       "      <th>Ovary_a-Q</th>\n",
       "      <th>Ovary_b-Q</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14382</th>\n",
       "      <td>HsaEX0000001</td>\n",
       "      <td>88.24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.00</td>\n",
       "      <td>62.96</td>\n",
       "      <td>50.00</td>\n",
       "      <td>75.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.33</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>88.89</td>\n",
       "      <td>60.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>72.41</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>71.43</td>\n",
       "      <td>100.00</td>\n",
       "      <td>69.23</td>\n",
       "      <td>N,N,N,B1,S@14.12,1.88</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,OK,S@2.40,1.60</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,OK,S@7.20,4.80</td>\n",
       "      <td>N,N,N,B1,S@13.85,8.15</td>\n",
       "      <td>N,N,N,B1,S@6.00,6.00</td>\n",
       "      <td>N,N,N,OK,S@5.25,1.75</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0.67,1.33</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,OK,S@1.50,1.50</td>\n",
       "      <td>N,N,N,Bn,S@2.00,0.00</td>\n",
       "      <td>VLOW,VLOW,VLOW,B1,S@30.22,3.78</td>\n",
       "      <td>N,N,N,B1,S@7.20,4.80</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@8.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@0.60,2.40</td>\n",
       "      <td>N,N,N,OK,S@2.00,0.00</td>\n",
       "      <td>N,N,N,B2,S@18.10,6.90</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,OK,S@4.29,1.71</td>\n",
       "      <td>N,N,N,Bn,S@2.00,0.00</td>\n",
       "      <td>N,N,N,OK,S@7.62,3.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14383</th>\n",
       "      <td>HsaEX0000002</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@2.00,0.00</td>\n",
       "      <td>N,N,N,B1,S@7.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,OK,S@12.00,0.00</td>\n",
       "      <td>VLOW,VLOW,VLOW,B1,S@31.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@8.00,0.00</td>\n",
       "      <td>N,N,N,B1,S@22.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@2.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@2.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@6.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@5.00,0.00</td>\n",
       "      <td>N,N,N,OK,S@3.00,0.00</td>\n",
       "      <td>N,N,N,B1,S@4.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@3.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14384</th>\n",
       "      <td>HsaEX0000003</td>\n",
       "      <td>70.15</td>\n",
       "      <td>100.00</td>\n",
       "      <td>81.82</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>71.43</td>\n",
       "      <td>55.56</td>\n",
       "      <td>35.48</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.57</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>60.00</td>\n",
       "      <td>74.36</td>\n",
       "      <td>33.33</td>\n",
       "      <td>73.33</td>\n",
       "      <td>82.46</td>\n",
       "      <td>64.00</td>\n",
       "      <td>45.45</td>\n",
       "      <td>40.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.00</td>\n",
       "      <td>69.70</td>\n",
       "      <td>50.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>VLOW,VLOW,VLOW,B2,S@39.99,17.01</td>\n",
       "      <td>N,N,N,Bn,S@7.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@8.18,1.82</td>\n",
       "      <td>N,N,N,Bn,S@11.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@4.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@6.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@4.29,1.71</td>\n",
       "      <td>N,N,N,Bn,S@3.89,3.11</td>\n",
       "      <td>VLOW,VLOW,VLOW,B2,S@7.45,13.55</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@3.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@3.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@2.57,6.43</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@2.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@2.40,1.60</td>\n",
       "      <td>N,N,N,B2,S@25.28,8.72</td>\n",
       "      <td>N,N,N,Bn,S@2.00,4.00</td>\n",
       "      <td>N,N,N,B2,S@19.07,6.93</td>\n",
       "      <td>VLOW,VLOW,VLOW,B2,S@85.76,18.24</td>\n",
       "      <td>N,N,N,B2,S@26.24,14.76</td>\n",
       "      <td>N,N,N,Bn,S@7.27,8.73</td>\n",
       "      <td>N,N,N,Bn,S@2.80,4.20</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>VLOW,VLOW,VLOW,Bn,S@9.45,17.55</td>\n",
       "      <td>N,N,N,B2,S@19.52,8.48</td>\n",
       "      <td>N,N,N,Bn,S@1.50,1.50</td>\n",
       "      <td>N,N,N,Bn,S@3.00,0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14385</th>\n",
       "      <td>HsaEX0000004</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.00</td>\n",
       "      <td>42.86</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64.95</td>\n",
       "      <td>81.03</td>\n",
       "      <td>76.00</td>\n",
       "      <td>91.67</td>\n",
       "      <td>82.46</td>\n",
       "      <td>91.67</td>\n",
       "      <td>91.55</td>\n",
       "      <td>51.82</td>\n",
       "      <td>33.33</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>60.00</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0.60,2.40</td>\n",
       "      <td>N,N,N,OK,S@8.57,11.43</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,OK,S@5.25,1.75</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,OK,S@2.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@9.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@103.92,56.08</td>\n",
       "      <td>VLOW,VLOW,VLOW,B2,S@85.08,19.92</td>\n",
       "      <td>LOW,LOW,LOW,OK,S@33.44,10.56</td>\n",
       "      <td>VLOW,VLOW,VLOW,OK,S@21.08,1.92</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@128.64,27.36</td>\n",
       "      <td>VLOW,VLOW,VLOW,B1,S@21.08,1.92</td>\n",
       "      <td>OK,OK,OK,B1,S@62.25,5.75</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@86.54,80.46</td>\n",
       "      <td>N,N,N,Bn,S@0.67,1.33</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@2.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@8.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@3.00,0.00</td>\n",
       "      <td>N,N,N,B1,S@7.20,4.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14386</th>\n",
       "      <td>HsaEX0000005</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>39.08</td>\n",
       "      <td>21.15</td>\n",
       "      <td>100.00</td>\n",
       "      <td>55.26</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@4.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@4.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@2.00,0.00</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@12.10,108.90</td>\n",
       "      <td>SOK,SOK,SOK,B2,S@47.29,73.71</td>\n",
       "      <td>SOK,SOK,SOK,B2,S@71.49,266.51</td>\n",
       "      <td>N,N,N,Bn,S@10.00,0.00</td>\n",
       "      <td>LOW,LOW,LOW,B2,S@32.60,26.40</td>\n",
       "      <td>N,N,N,Bn,S@2.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@2.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@2.00,0.00</td>\n",
       "      <td>N,N,N,Bl,S@19.00,0.00</td>\n",
       "      <td>N,N,N,Bl,S@18.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@5.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@10.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@3.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@5.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>N,N,N,Bn,S@4.00,0.00</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50213</th>\n",
       "      <td>HsaEX0074661</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.07</td>\n",
       "      <td>1.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.08</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.67</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.46</td>\n",
       "      <td>6.06</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.61</td>\n",
       "      <td>2.70</td>\n",
       "      <td>1.82</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.90</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.20</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,481.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,127.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,620.00</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.00,80.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,229.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.50,137.50</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.00,27.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.50,716.50</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.51,29.49</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.00,30.00</td>\n",
       "      <td>OK,OK,OK,Bn,S@1.02,47.98</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@1.00,196.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,300.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,177.00</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.00,36.00</td>\n",
       "      <td>VLOW,VLOW,VLOW,Bn,S@0.00,11.00</td>\n",
       "      <td>OK,OK,OK,Bn,S@2.06,74.94</td>\n",
       "      <td>N,N,N,Bn,S@0.00,9.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@4.05,875.95</td>\n",
       "      <td>OK,OK,OK,Bn,S@4.24,65.76</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.50,113.50</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.00,28.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@3.03,219.97</td>\n",
       "      <td>N,N,N,Bn,S@0.00,4.00</td>\n",
       "      <td>OK,OK,OK,Bn,S@1.55,41.45</td>\n",
       "      <td>OK,OK,OK,Bn,C2@1.54,55.46</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@4.08,219.92</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.00,52.00</td>\n",
       "      <td>OK,OK,OK,B1,C1@11.19,82.81</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.50,53.50</td>\n",
       "      <td>OK,OK,OK,Bn,C1@0.00,36.00</td>\n",
       "      <td>OK,OK,OK,Bn,S@1.01,82.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50214</th>\n",
       "      <td>HsaEX0074662</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>3.60</td>\n",
       "      <td>1.78</td>\n",
       "      <td>1.08</td>\n",
       "      <td>1.63</td>\n",
       "      <td>1.79</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.94</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.10</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.07</td>\n",
       "      <td>2.26</td>\n",
       "      <td>2.77</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.15</td>\n",
       "      <td>11.99</td>\n",
       "      <td>2.55</td>\n",
       "      <td>15.23</td>\n",
       "      <td>3.29</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.96</td>\n",
       "      <td>3.87</td>\n",
       "      <td>5.88</td>\n",
       "      <td>5.02</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@2.18,482.82</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,127.00</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@1.62,620.38</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.00,80.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,229.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@1.01,136.99</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.00,27.00</td>\n",
       "      <td>SOK,SOK,SOK,B2,S@3.58,713.41</td>\n",
       "      <td>OK,OK,OK,OK,S@1.08,28.92</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.55,30.45</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.51,46.49</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@3.28,197.72</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@5.55,304.45</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,177.00</td>\n",
       "      <td>OK,OK,OK,Bn,S@1.12,36.88</td>\n",
       "      <td>VLOW,VLOW,VLOW,Bn,S@0.00,11.00</td>\n",
       "      <td>OK,OK,OK,OK,S@1.58,73.42</td>\n",
       "      <td>N,N,N,Bn,S@0.00,9.00</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@9.49,877.51</td>\n",
       "      <td>OK,OK,OK,Bn,C1@1.63,70.37</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@3.27,114.73</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.00,28.00</td>\n",
       "      <td>SOK,SOK,SOK,B2,S@4.84,220.16</td>\n",
       "      <td>N,N,N,Bn,S@0.60,4.40</td>\n",
       "      <td>OK,OK,OK,Bn,S@1.07,40.93</td>\n",
       "      <td>OK,OK,OK,B2,S@8.68,48.32</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@7.53,221.47</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.00,52.00</td>\n",
       "      <td>OK,OK,OK,B1,C1@12.98,80.02</td>\n",
       "      <td>OK,OK,OK,B1,S@2.17,53.83</td>\n",
       "      <td>OK,OK,OK,Bn,S@2.12,33.88</td>\n",
       "      <td>OK,OK,OK,B1,S@4.42,83.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50218</th>\n",
       "      <td>HsaEX0074669</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.26</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.26</td>\n",
       "      <td>4.29</td>\n",
       "      <td>1.93</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.76</td>\n",
       "      <td>1.29</td>\n",
       "      <td>0.65</td>\n",
       "      <td>1.10</td>\n",
       "      <td>0.94</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.34</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@2.52,786.48</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,255.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.51,194.49</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@8.70,390.30</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@2.02,219.98</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.51,194.49</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@7.29,162.71</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@10.21,518.79</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@3.01,810.99</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,122.00</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@1.52,314.48</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,534.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,477.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,288.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,211.00</td>\n",
       "      <td>OK,OK,OK,Bn,S@0.00,74.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.00,554.00</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@0.50,123.50</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@1.52,198.48</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@1.52,116.48</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@4.52,691.48</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@4.04,362.96</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@5.53,582.47</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@1.93,1754.07</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@8.10,2179.90</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@2.52,557.48</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@21.71,2364.29</td>\n",
       "      <td>N,N,N,Bn,S@0.00,7.00</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@27.83,7109.17</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@4.48,1863.52</td>\n",
       "      <td>SOK,SOK,SOK,Bn,S@1.53,543.47</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@3.54,1038.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50219</th>\n",
       "      <td>HsaEX0074686</td>\n",
       "      <td>91.49</td>\n",
       "      <td>98.39</td>\n",
       "      <td>94.33</td>\n",
       "      <td>100.00</td>\n",
       "      <td>97.06</td>\n",
       "      <td>92.67</td>\n",
       "      <td>83.64</td>\n",
       "      <td>89.21</td>\n",
       "      <td>95.21</td>\n",
       "      <td>82.80</td>\n",
       "      <td>85.25</td>\n",
       "      <td>75.19</td>\n",
       "      <td>83.61</td>\n",
       "      <td>84.16</td>\n",
       "      <td>96.06</td>\n",
       "      <td>100.00</td>\n",
       "      <td>96.97</td>\n",
       "      <td>100.00</td>\n",
       "      <td>92.64</td>\n",
       "      <td>91.67</td>\n",
       "      <td>91.30</td>\n",
       "      <td>96.52</td>\n",
       "      <td>89.86</td>\n",
       "      <td>60.00</td>\n",
       "      <td>94.56</td>\n",
       "      <td>97.87</td>\n",
       "      <td>95.55</td>\n",
       "      <td>60.53</td>\n",
       "      <td>89.99</td>\n",
       "      <td>98.84</td>\n",
       "      <td>100.00</td>\n",
       "      <td>91.52</td>\n",
       "      <td>OK,OK,OK,B1,S@82.34,7.66</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@121.02,1.98</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@258.46,15.54</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@104.00,0.00</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@130.06,3.94</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@170.51,13.49</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@84.48,16.52</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@438.02,52.98</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@155.19,7.81</td>\n",
       "      <td>OK,OK,OK,OK,S@70.38,14.62</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@171.35,29.65</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@254.89,84.11</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@327.75,64.25</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@156.54,29.46</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@191.16,7.84</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@193.00,0.00</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@252.12,7.88</td>\n",
       "      <td>VLOW,VLOW,VLOW,OK,S@28.00,0.00</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@266.80,21.20</td>\n",
       "      <td>OK,OK,OK,B1,S@63.25,5.75</td>\n",
       "      <td>LOW,LOW,LOW,B1,S@60.26,5.74</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@109.07,3.93</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@302.83,34.17</td>\n",
       "      <td>N,N,N,OK,S@2.40,1.60</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@135.22,7.78</td>\n",
       "      <td>OK,OK,OK,OK,S@91.02,1.98</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@419.46,19.54</td>\n",
       "      <td>LOW,LOW,LOW,B1,S@36.92,24.08</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@648.83,72.17</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@170.00,2.00</td>\n",
       "      <td>OK,OK,OK,OK,S@90.00,0.00</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@144.60,13.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50221</th>\n",
       "      <td>HsaEX0074690</td>\n",
       "      <td>8.22</td>\n",
       "      <td>5.13</td>\n",
       "      <td>10.27</td>\n",
       "      <td>2.63</td>\n",
       "      <td>13.16</td>\n",
       "      <td>22.05</td>\n",
       "      <td>41.54</td>\n",
       "      <td>42.73</td>\n",
       "      <td>26.15</td>\n",
       "      <td>30.10</td>\n",
       "      <td>25.07</td>\n",
       "      <td>23.45</td>\n",
       "      <td>15.64</td>\n",
       "      <td>11.59</td>\n",
       "      <td>7.87</td>\n",
       "      <td>29.35</td>\n",
       "      <td>13.90</td>\n",
       "      <td>16.67</td>\n",
       "      <td>12.38</td>\n",
       "      <td>42.86</td>\n",
       "      <td>31.51</td>\n",
       "      <td>17.24</td>\n",
       "      <td>17.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14.67</td>\n",
       "      <td>19.72</td>\n",
       "      <td>42.17</td>\n",
       "      <td>12.73</td>\n",
       "      <td>13.05</td>\n",
       "      <td>10.26</td>\n",
       "      <td>9.30</td>\n",
       "      <td>33.33</td>\n",
       "      <td>OK,OK,OK,B1,C1@6.49,72.51</td>\n",
       "      <td>OK,OK,OK,OK,S@2.10,38.90</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@20.95,183.05</td>\n",
       "      <td>OK,OK,OK,Bn,S@1.03,37.97</td>\n",
       "      <td>OK,OK,OK,B2,S@11.32,74.68</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@26.24,92.76</td>\n",
       "      <td>LOW,LOW,LOW,B1,S@19.11,26.89</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@136.31,182.69</td>\n",
       "      <td>OK,OK,OK,OK,S@21.44,60.56</td>\n",
       "      <td>OK,OK,OK,B1,S@20.17,46.83</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@58.16,173.84</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@77.15,251.85</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@70.54,380.46</td>\n",
       "      <td>SOK,SOK,SOK,B1,S@17.85,136.15</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@10.78,126.22</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@34.93,84.07</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@29.05,179.95</td>\n",
       "      <td>VLOW,VLOW,VLOW,B1,S@2.33,11.67</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@28.10,198.90</td>\n",
       "      <td>N,N,N,B1,S@4.29,5.71</td>\n",
       "      <td>OK,OK,OK,OK,S@15.12,32.88</td>\n",
       "      <td>OK,OK,OK,B1,S@14.65,70.35</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@35.12,170.88</td>\n",
       "      <td>N,N,N,Bn,S@0,0</td>\n",
       "      <td>OK,OK,OK,OK,S@12.62,73.38</td>\n",
       "      <td>OK,OK,OK,OK,S@16.76,68.24</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@137.90,189.10</td>\n",
       "      <td>OK,OK,OK,Bn,S@3.95,27.05</td>\n",
       "      <td>SOK,SOK,SOK,OK,C2@56.51,376.49</td>\n",
       "      <td>SOK,SOK,SOK,OK,S@13.24,115.76</td>\n",
       "      <td>OK,OK,OK,B1,S@4.37,42.63</td>\n",
       "      <td>OK,OK,OK,OK,S@32.00,64.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20300 rows × 65 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              EVENT  Heart_c  Heart_a  Heart_b  Muscle_b  Muscle_e  \\\n",
       "14382  HsaEX0000001    88.24      NaN    60.00    100.00       NaN   \n",
       "14383  HsaEX0000002   100.00      NaN      NaN       NaN    100.00   \n",
       "14384  HsaEX0000003    70.15   100.00    81.82    100.00    100.00   \n",
       "14385  HsaEX0000004      NaN      NaN      NaN       NaN       NaN   \n",
       "14386  HsaEX0000005   100.00      NaN      NaN       NaN    100.00   \n",
       "...             ...      ...      ...      ...       ...       ...   \n",
       "50213  HsaEX0074661     0.00     0.00     0.00      0.00      0.00   \n",
       "50214  HsaEX0074662     0.45     0.00     0.26      0.00      0.00   \n",
       "50218  HsaEX0074669     0.32     0.00     0.26      2.18      0.91   \n",
       "50219  HsaEX0074686    91.49    98.39    94.33    100.00     97.06   \n",
       "50221  HsaEX0074690     8.22     5.13    10.27      2.63     13.16   \n",
       "\n",
       "       Whole_Brain_b  Cortex  Retina_peripheral  Placenta_a  Placenta_b  \\\n",
       "14382          60.00   62.96              50.00       75.00         NaN   \n",
       "14383         100.00     NaN             100.00      100.00      100.00   \n",
       "14384         100.00   71.43              55.56       35.48         NaN   \n",
       "14385          20.00   42.86                NaN       75.00         NaN   \n",
       "14386         100.00  100.00             100.00       10.00       39.08   \n",
       "...              ...     ...                ...         ...         ...   \n",
       "50213           0.36    0.00               0.07        1.69        0.00   \n",
       "50214           0.73    0.00               0.50        3.60        1.78   \n",
       "50218           0.26    4.29               1.93        0.37        0.00   \n",
       "50219          92.67   83.64              89.21       95.21       82.80   \n",
       "50221          22.05   41.54              42.73       26.15       30.10   \n",
       "\n",
       "       Placenta_c    Skin  Placenta_Epith  EpithelialCells  Colon_b  \\\n",
       "14382      100.00     NaN             NaN              NaN    33.33   \n",
       "14383      100.00  100.00          100.00              NaN      NaN   \n",
       "14384      100.00  100.00             NaN              NaN      NaN   \n",
       "14385      100.00     NaN          100.00              NaN    64.95   \n",
       "14386       21.15  100.00           55.26           100.00   100.00   \n",
       "...           ...     ...             ...              ...      ...   \n",
       "50213        2.08    0.51            0.00             0.00     0.00   \n",
       "50214        1.08    1.63            1.79             0.00     2.94   \n",
       "50218        0.48    0.00            0.00             0.00     0.00   \n",
       "50219       85.25   75.19           83.61            84.16    96.06   \n",
       "50221       25.07   23.45           15.64            11.59     7.87   \n",
       "\n",
       "       Stomach_a  Stomach_b  Liver_a  Liver_b  Liver_c  Kidney_c  Kidney_b  \\\n",
       "14382        NaN     100.00      NaN    50.00   100.00     88.89     60.00   \n",
       "14383        NaN     100.00      NaN      NaN   100.00    100.00    100.00   \n",
       "14384        NaN      28.57      NaN   100.00    60.00     74.36     33.33   \n",
       "14385      81.03      76.00    91.67    82.46    91.67     91.55     51.82   \n",
       "14386        NaN     100.00   100.00   100.00   100.00    100.00    100.00   \n",
       "...          ...        ...      ...      ...      ...       ...       ...   \n",
       "50213       0.00       2.67     0.00     0.46     6.06      0.44      0.00   \n",
       "50214       0.00       2.10     0.00     1.07     2.26      2.77      0.00   \n",
       "50218       0.00       0.00     0.40     0.76     1.29      0.65      1.10   \n",
       "50219     100.00      96.97   100.00    92.64    91.67     91.30     96.52   \n",
       "50221      29.35      13.90    16.67    12.38    42.86     31.51     17.24   \n",
       "\n",
       "       Adipose_b  Adipose_c  Adipose_d  Testis_a  Testis_c  Bone_marrow_a  \\\n",
       "14382        NaN     100.00      20.00    100.00     72.41         100.00   \n",
       "14383     100.00     100.00        NaN    100.00    100.00            NaN   \n",
       "14384      73.33      82.46      64.00     45.45     40.00            NaN   \n",
       "14385      33.33        NaN     100.00       NaN       NaN            NaN   \n",
       "14386     100.00     100.00     100.00       NaN       NaN            NaN   \n",
       "...          ...        ...        ...       ...       ...            ...   \n",
       "50213       1.36       0.00       3.61      2.70      1.82           0.00   \n",
       "50214       2.15      11.99       2.55     15.23      3.29           0.00   \n",
       "50218       0.94       0.11       0.37      0.45      0.91           0.00   \n",
       "50219      89.86      60.00      94.56     97.87     95.55          60.53   \n",
       "50221      17.05       0.00      14.67     19.72     42.17          12.73   \n",
       "\n",
       "       Bone_marrow_b  Lymph_node_c  Ovary_a  Ovary_b  \\\n",
       "14382         100.00         71.43   100.00    69.23   \n",
       "14383            NaN        100.00      NaN      NaN   \n",
       "14384          35.00         69.70    50.00   100.00   \n",
       "14385         100.00        100.00   100.00    60.00   \n",
       "14386            NaN           NaN   100.00      NaN   \n",
       "...              ...           ...      ...      ...   \n",
       "50213          11.90          0.93     0.00     1.20   \n",
       "50214          13.96          3.87     5.88     5.02   \n",
       "50218           0.39          0.24     0.28     0.34   \n",
       "50219          89.99         98.84   100.00    91.52   \n",
       "50221          13.05         10.26     9.30    33.33   \n",
       "\n",
       "                             Heart_c-Q                     Heart_a-Q  \\\n",
       "14382            N,N,N,B1,S@14.12,1.88                N,N,N,Bn,S@0,0   \n",
       "14383                   N,N,N,Bn,S@0,0                N,N,N,Bn,S@0,0   \n",
       "14384  VLOW,VLOW,VLOW,B2,S@39.99,17.01          N,N,N,Bn,S@7.00,0.00   \n",
       "14385                   N,N,N,Bn,S@0,0                N,N,N,Bn,S@0,0   \n",
       "14386                   N,N,N,Bn,S@0,0                N,N,N,Bn,S@0,0   \n",
       "...                                ...                           ...   \n",
       "50213     SOK,SOK,SOK,Bn,S@0.00,481.00  SOK,SOK,SOK,Bn,S@0.00,127.00   \n",
       "50214     SOK,SOK,SOK,Bn,S@2.18,482.82  SOK,SOK,SOK,Bn,S@0.00,127.00   \n",
       "50218     SOK,SOK,SOK,OK,S@2.52,786.48  SOK,SOK,SOK,Bn,S@0.00,255.00   \n",
       "50219         OK,OK,OK,B1,S@82.34,7.66  SOK,SOK,SOK,OK,S@121.02,1.98   \n",
       "50221        OK,OK,OK,B1,C1@6.49,72.51      OK,OK,OK,OK,S@2.10,38.90   \n",
       "\n",
       "                           Heart_b-Q                    Muscle_b-Q  \\\n",
       "14382           N,N,N,OK,S@2.40,1.60                N,N,N,Bn,S@0,0   \n",
       "14383                 N,N,N,Bn,S@0,0                N,N,N,Bn,S@0,0   \n",
       "14384           N,N,N,Bn,S@8.18,1.82         N,N,N,Bn,S@11.00,0.00   \n",
       "14385                 N,N,N,Bn,S@0,0                N,N,N,Bn,S@0,0   \n",
       "14386                 N,N,N,Bn,S@0,0                N,N,N,Bn,S@0,0   \n",
       "...                              ...                           ...   \n",
       "50213   SOK,SOK,SOK,Bn,S@0.00,620.00      OK,OK,OK,Bn,S@0.00,80.00   \n",
       "50214   SOK,SOK,SOK,B1,S@1.62,620.38      OK,OK,OK,Bn,S@0.00,80.00   \n",
       "50218   SOK,SOK,SOK,Bn,S@0.51,194.49  SOK,SOK,SOK,OK,S@8.70,390.30   \n",
       "50219  SOK,SOK,SOK,OK,S@258.46,15.54  SOK,SOK,SOK,OK,S@104.00,0.00   \n",
       "50221  SOK,SOK,SOK,OK,S@20.95,183.05      OK,OK,OK,Bn,S@1.03,37.97   \n",
       "\n",
       "                         Muscle_e-Q                Whole_Brain_b-Q  \\\n",
       "14382                N,N,N,Bn,S@0,0           N,N,N,OK,S@7.20,4.80   \n",
       "14383          N,N,N,Bn,S@2.00,0.00           N,N,N,B1,S@7.00,0.00   \n",
       "14384          N,N,N,Bn,S@4.00,0.00           N,N,N,Bn,S@6.00,0.00   \n",
       "14385                N,N,N,Bn,S@0,0           N,N,N,Bn,S@0.60,2.40   \n",
       "14386                N,N,N,Bn,S@0,0           N,N,N,Bn,S@4.00,0.00   \n",
       "...                             ...                            ...   \n",
       "50213  SOK,SOK,SOK,Bn,S@0.00,229.00   SOK,SOK,SOK,Bn,S@0.50,137.50   \n",
       "50214  SOK,SOK,SOK,Bn,S@0.00,229.00   SOK,SOK,SOK,Bn,S@1.01,136.99   \n",
       "50218  SOK,SOK,SOK,Bn,S@2.02,219.98   SOK,SOK,SOK,Bn,S@0.51,194.49   \n",
       "50219  SOK,SOK,SOK,OK,S@130.06,3.94  SOK,SOK,SOK,OK,S@170.51,13.49   \n",
       "50221     OK,OK,OK,B2,S@11.32,74.68   SOK,SOK,SOK,OK,S@26.24,92.76   \n",
       "\n",
       "                           Cortex-Q             Retina_peripheral-Q  \\\n",
       "14382         N,N,N,B1,S@13.85,8.15            N,N,N,B1,S@6.00,6.00   \n",
       "14383                N,N,N,Bn,S@0,0           N,N,N,OK,S@12.00,0.00   \n",
       "14384          N,N,N,Bn,S@4.29,1.71            N,N,N,Bn,S@3.89,3.11   \n",
       "14385         N,N,N,OK,S@8.57,11.43                  N,N,N,Bn,S@0,0   \n",
       "14386          N,N,N,Bn,S@4.00,0.00            N,N,N,Bn,S@2.00,0.00   \n",
       "...                             ...                             ...   \n",
       "50213      OK,OK,OK,Bn,S@0.00,27.00    SOK,SOK,SOK,Bn,S@0.50,716.50   \n",
       "50214      OK,OK,OK,Bn,S@0.00,27.00    SOK,SOK,SOK,B2,S@3.58,713.41   \n",
       "50218  SOK,SOK,SOK,Bn,S@7.29,162.71   SOK,SOK,SOK,B1,S@10.21,518.79   \n",
       "50219  SOK,SOK,SOK,OK,S@84.48,16.52   SOK,SOK,SOK,OK,S@438.02,52.98   \n",
       "50221  LOW,LOW,LOW,B1,S@19.11,26.89  SOK,SOK,SOK,B1,S@136.31,182.69   \n",
       "\n",
       "                         Placenta_a-Q                  Placenta_b-Q  \\\n",
       "14382            N,N,N,OK,S@5.25,1.75                N,N,N,Bn,S@0,0   \n",
       "14383  VLOW,VLOW,VLOW,B1,S@31.00,0.00          N,N,N,Bn,S@8.00,0.00   \n",
       "14384  VLOW,VLOW,VLOW,B2,S@7.45,13.55                N,N,N,Bn,S@0,0   \n",
       "14385            N,N,N,OK,S@5.25,1.75                N,N,N,Bn,S@0,0   \n",
       "14386   SOK,SOK,SOK,B1,S@12.10,108.90  SOK,SOK,SOK,B2,S@47.29,73.71   \n",
       "...                               ...                           ...   \n",
       "50213        OK,OK,OK,Bn,S@0.51,29.49      OK,OK,OK,Bn,S@0.00,30.00   \n",
       "50214        OK,OK,OK,OK,S@1.08,28.92      OK,OK,OK,Bn,S@0.55,30.45   \n",
       "50218    SOK,SOK,SOK,OK,S@3.01,810.99  SOK,SOK,SOK,Bn,S@0.00,122.00   \n",
       "50219    SOK,SOK,SOK,OK,S@155.19,7.81     OK,OK,OK,OK,S@70.38,14.62   \n",
       "50221       OK,OK,OK,OK,S@21.44,60.56     OK,OK,OK,B1,S@20.17,46.83   \n",
       "\n",
       "                        Placenta_c-Q                         Skin-Q  \\\n",
       "14382                 N,N,N,Bn,S@0,0                 N,N,N,Bn,S@0,0   \n",
       "14383          N,N,N,B1,S@22.00,0.00           N,N,N,Bn,S@2.00,0.00   \n",
       "14384           N,N,N,Bn,S@3.00,0.00           N,N,N,Bn,S@3.00,0.00   \n",
       "14385           N,N,N,OK,S@2.00,0.00                 N,N,N,Bn,S@0,0   \n",
       "14386  SOK,SOK,SOK,B2,S@71.49,266.51          N,N,N,Bn,S@10.00,0.00   \n",
       "...                              ...                            ...   \n",
       "50213       OK,OK,OK,Bn,S@1.02,47.98   SOK,SOK,SOK,Bn,S@1.00,196.00   \n",
       "50214       OK,OK,OK,Bn,S@0.51,46.49   SOK,SOK,SOK,Bn,S@3.28,197.72   \n",
       "50218   SOK,SOK,SOK,OK,S@1.52,314.48   SOK,SOK,SOK,Bn,S@0.00,534.00   \n",
       "50219  SOK,SOK,SOK,OK,S@171.35,29.65  SOK,SOK,SOK,OK,S@254.89,84.11   \n",
       "50221  SOK,SOK,SOK,OK,S@58.16,173.84  SOK,SOK,SOK,B1,S@77.15,251.85   \n",
       "\n",
       "                    Placenta_Epith-Q              EpithelialCells-Q  \\\n",
       "14382                 N,N,N,Bn,S@0,0                 N,N,N,Bn,S@0,0   \n",
       "14383           N,N,N,Bn,S@2.00,0.00                 N,N,N,Bn,S@0,0   \n",
       "14384                 N,N,N,Bn,S@0,0                 N,N,N,Bn,S@0,0   \n",
       "14385           N,N,N,Bn,S@9.00,0.00                 N,N,N,Bn,S@0,0   \n",
       "14386   LOW,LOW,LOW,B2,S@32.60,26.40           N,N,N,Bn,S@2.00,0.00   \n",
       "...                              ...                            ...   \n",
       "50213   SOK,SOK,SOK,Bn,S@0.00,300.00   SOK,SOK,SOK,Bn,S@0.00,177.00   \n",
       "50214   SOK,SOK,SOK,Bn,S@5.55,304.45   SOK,SOK,SOK,Bn,S@0.00,177.00   \n",
       "50218   SOK,SOK,SOK,Bn,S@0.00,477.00   SOK,SOK,SOK,Bn,S@0.00,288.00   \n",
       "50219  SOK,SOK,SOK,OK,S@327.75,64.25  SOK,SOK,SOK,OK,S@156.54,29.46   \n",
       "50221  SOK,SOK,SOK,OK,S@70.54,380.46  SOK,SOK,SOK,B1,S@17.85,136.15   \n",
       "\n",
       "                           Colon_b-Q                      Stomach_a-Q  \\\n",
       "14382           N,N,N,Bn,S@0.67,1.33                   N,N,N,Bn,S@0,0   \n",
       "14383                 N,N,N,Bn,S@0,0                   N,N,N,Bn,S@0,0   \n",
       "14384                 N,N,N,Bn,S@0,0                   N,N,N,Bn,S@0,0   \n",
       "14385  SOK,SOK,SOK,OK,S@103.92,56.08  VLOW,VLOW,VLOW,B2,S@85.08,19.92   \n",
       "14386           N,N,N,Bn,S@2.00,0.00                   N,N,N,Bn,S@0,0   \n",
       "...                              ...                              ...   \n",
       "50213       OK,OK,OK,Bn,S@0.00,36.00   VLOW,VLOW,VLOW,Bn,S@0.00,11.00   \n",
       "50214       OK,OK,OK,Bn,S@1.12,36.88   VLOW,VLOW,VLOW,Bn,S@0.00,11.00   \n",
       "50218   SOK,SOK,SOK,Bn,S@0.00,211.00         OK,OK,OK,Bn,S@0.00,74.00   \n",
       "50219   SOK,SOK,SOK,OK,S@191.16,7.84     SOK,SOK,SOK,B1,S@193.00,0.00   \n",
       "50221  SOK,SOK,SOK,OK,S@10.78,126.22     SOK,SOK,SOK,OK,S@34.93,84.07   \n",
       "\n",
       "                         Stomach_b-Q                       Liver_a-Q  \\\n",
       "14382                 N,N,N,Bn,S@0,0                  N,N,N,Bn,S@0,0   \n",
       "14383           N,N,N,Bn,S@6.00,0.00                  N,N,N,Bn,S@0,0   \n",
       "14384           N,N,N,Bn,S@2.57,6.43                  N,N,N,Bn,S@0,0   \n",
       "14385   LOW,LOW,LOW,OK,S@33.44,10.56  VLOW,VLOW,VLOW,OK,S@21.08,1.92   \n",
       "14386                 N,N,N,Bn,S@0,0            N,N,N,Bn,S@2.00,0.00   \n",
       "...                              ...                             ...   \n",
       "50213       OK,OK,OK,Bn,S@2.06,74.94            N,N,N,Bn,S@0.00,9.00   \n",
       "50214       OK,OK,OK,OK,S@1.58,73.42            N,N,N,Bn,S@0.00,9.00   \n",
       "50218   SOK,SOK,SOK,Bn,S@0.00,554.00    SOK,SOK,SOK,Bn,S@0.50,123.50   \n",
       "50219   SOK,SOK,SOK,OK,S@252.12,7.88  VLOW,VLOW,VLOW,OK,S@28.00,0.00   \n",
       "50221  SOK,SOK,SOK,OK,S@29.05,179.95  VLOW,VLOW,VLOW,B1,S@2.33,11.67   \n",
       "\n",
       "                           Liver_b-Q                       Liver_c-Q  \\\n",
       "14382           N,N,N,OK,S@1.50,1.50            N,N,N,Bn,S@2.00,0.00   \n",
       "14383                 N,N,N,Bn,S@0,0                  N,N,N,Bn,S@0,0   \n",
       "14384           N,N,N,Bn,S@2.00,0.00            N,N,N,Bn,S@2.40,1.60   \n",
       "14385  SOK,SOK,SOK,OK,S@128.64,27.36  VLOW,VLOW,VLOW,B1,S@21.08,1.92   \n",
       "14386          N,N,N,Bl,S@19.00,0.00           N,N,N,Bl,S@18.00,0.00   \n",
       "...                              ...                             ...   \n",
       "50213   SOK,SOK,SOK,Bn,S@4.05,875.95        OK,OK,OK,Bn,S@4.24,65.76   \n",
       "50214   SOK,SOK,SOK,B1,S@9.49,877.51       OK,OK,OK,Bn,C1@1.63,70.37   \n",
       "50218   SOK,SOK,SOK,OK,S@1.52,198.48    SOK,SOK,SOK,Bn,S@1.52,116.48   \n",
       "50219  SOK,SOK,SOK,OK,S@266.80,21.20        OK,OK,OK,B1,S@63.25,5.75   \n",
       "50221  SOK,SOK,SOK,OK,S@28.10,198.90            N,N,N,B1,S@4.29,5.71   \n",
       "\n",
       "                           Kidney_c-Q                    Kidney_b-Q  \\\n",
       "14382  VLOW,VLOW,VLOW,B1,S@30.22,3.78          N,N,N,B1,S@7.20,4.80   \n",
       "14383            N,N,N,Bn,S@5.00,0.00          N,N,N,OK,S@3.00,0.00   \n",
       "14384           N,N,N,B2,S@25.28,8.72          N,N,N,Bn,S@2.00,4.00   \n",
       "14385        OK,OK,OK,B1,S@62.25,5.75  SOK,SOK,SOK,OK,S@86.54,80.46   \n",
       "14386            N,N,N,Bn,S@5.00,0.00         N,N,N,Bn,S@10.00,0.00   \n",
       "...                               ...                           ...   \n",
       "50213    SOK,SOK,SOK,Bn,S@0.50,113.50      OK,OK,OK,Bn,S@0.00,28.00   \n",
       "50214    SOK,SOK,SOK,B1,S@3.27,114.73      OK,OK,OK,Bn,S@0.00,28.00   \n",
       "50218    SOK,SOK,SOK,OK,S@4.52,691.48  SOK,SOK,SOK,OK,S@4.04,362.96   \n",
       "50219     LOW,LOW,LOW,B1,S@60.26,5.74  SOK,SOK,SOK,OK,S@109.07,3.93   \n",
       "50221       OK,OK,OK,OK,S@15.12,32.88     OK,OK,OK,B1,S@14.65,70.35   \n",
       "\n",
       "                         Adipose_b-Q                      Adipose_c-Q  \\\n",
       "14382                 N,N,N,Bn,S@0,0             N,N,N,Bn,S@8.00,0.00   \n",
       "14383           N,N,N,B1,S@4.00,0.00             N,N,N,Bn,S@3.00,0.00   \n",
       "14384          N,N,N,B2,S@19.07,6.93  VLOW,VLOW,VLOW,B2,S@85.76,18.24   \n",
       "14385           N,N,N,Bn,S@0.67,1.33                   N,N,N,Bn,S@0,0   \n",
       "14386           N,N,N,Bn,S@3.00,0.00             N,N,N,Bn,S@5.00,0.00   \n",
       "...                              ...                              ...   \n",
       "50213   SOK,SOK,SOK,Bn,S@3.03,219.97             N,N,N,Bn,S@0.00,4.00   \n",
       "50214   SOK,SOK,SOK,B2,S@4.84,220.16             N,N,N,Bn,S@0.60,4.40   \n",
       "50218   SOK,SOK,SOK,B1,S@5.53,582.47    SOK,SOK,SOK,B1,S@1.93,1754.07   \n",
       "50219  SOK,SOK,SOK,OK,S@302.83,34.17             N,N,N,OK,S@2.40,1.60   \n",
       "50221  SOK,SOK,SOK,OK,S@35.12,170.88                   N,N,N,Bn,S@0,0   \n",
       "\n",
       "                         Adipose_d-Q                    Testis_a-Q  \\\n",
       "14382           N,N,N,Bn,S@0.60,2.40          N,N,N,OK,S@2.00,0.00   \n",
       "14383                 N,N,N,Bn,S@0,0                N,N,N,Bn,S@0,0   \n",
       "14384         N,N,N,B2,S@26.24,14.76          N,N,N,Bn,S@7.27,8.73   \n",
       "14385           N,N,N,Bn,S@2.00,0.00                N,N,N,Bn,S@0,0   \n",
       "14386                 N,N,N,Bn,S@0,0                N,N,N,Bn,S@0,0   \n",
       "...                              ...                           ...   \n",
       "50213       OK,OK,OK,Bn,S@1.55,41.45     OK,OK,OK,Bn,C2@1.54,55.46   \n",
       "50214       OK,OK,OK,Bn,S@1.07,40.93      OK,OK,OK,B2,S@8.68,48.32   \n",
       "50218  SOK,SOK,SOK,OK,S@8.10,2179.90  SOK,SOK,SOK,B1,S@2.52,557.48   \n",
       "50219   SOK,SOK,SOK,OK,S@135.22,7.78      OK,OK,OK,OK,S@91.02,1.98   \n",
       "50221      OK,OK,OK,OK,S@12.62,73.38     OK,OK,OK,OK,S@16.76,68.24   \n",
       "\n",
       "                           Testis_c-Q               Bone_marrow_a-Q  \\\n",
       "14382           N,N,N,B2,S@18.10,6.90                N,N,N,Bn,S@0,0   \n",
       "14383                  N,N,N,Bn,S@0,0                N,N,N,Bn,S@0,0   \n",
       "14384            N,N,N,Bn,S@2.80,4.20                N,N,N,Bn,S@0,0   \n",
       "14385                  N,N,N,Bn,S@0,0                N,N,N,Bn,S@0,0   \n",
       "14386                  N,N,N,Bn,S@0,0                N,N,N,Bn,S@0,0   \n",
       "...                               ...                           ...   \n",
       "50213    SOK,SOK,SOK,OK,S@4.08,219.92      OK,OK,OK,Bn,S@0.00,52.00   \n",
       "50214    SOK,SOK,SOK,B1,S@7.53,221.47      OK,OK,OK,Bn,S@0.00,52.00   \n",
       "50218  SOK,SOK,SOK,OK,S@21.71,2364.29          N,N,N,Bn,S@0.00,7.00   \n",
       "50219   SOK,SOK,SOK,OK,S@419.46,19.54  LOW,LOW,LOW,B1,S@36.92,24.08   \n",
       "50221  SOK,SOK,SOK,OK,S@137.90,189.10      OK,OK,OK,Bn,S@3.95,27.05   \n",
       "\n",
       "                      Bone_marrow_b-Q                 Lymph_node_c-Q  \\\n",
       "14382                  N,N,N,Bn,S@0,0           N,N,N,OK,S@4.29,1.71   \n",
       "14383                  N,N,N,Bn,S@0,0                 N,N,N,Bn,S@0,0   \n",
       "14384  VLOW,VLOW,VLOW,Bn,S@9.45,17.55          N,N,N,B2,S@19.52,8.48   \n",
       "14385            N,N,N,Bn,S@8.00,0.00                 N,N,N,Bn,S@0,0   \n",
       "14386                  N,N,N,Bn,S@0,0                 N,N,N,Bn,S@0,0   \n",
       "...                               ...                            ...   \n",
       "50213      OK,OK,OK,B1,C1@11.19,82.81       OK,OK,OK,Bn,S@0.50,53.50   \n",
       "50214      OK,OK,OK,B1,C1@12.98,80.02       OK,OK,OK,B1,S@2.17,53.83   \n",
       "50218  SOK,SOK,SOK,OK,S@27.83,7109.17  SOK,SOK,SOK,OK,S@4.48,1863.52   \n",
       "50219   SOK,SOK,SOK,OK,S@648.83,72.17   SOK,SOK,SOK,OK,S@170.00,2.00   \n",
       "50221  SOK,SOK,SOK,OK,C2@56.51,376.49  SOK,SOK,SOK,OK,S@13.24,115.76   \n",
       "\n",
       "                          Ovary_a-Q                      Ovary_b-Q  \n",
       "14382          N,N,N,Bn,S@2.00,0.00           N,N,N,OK,S@7.62,3.38  \n",
       "14383                N,N,N,Bn,S@0,0                 N,N,N,Bn,S@0,0  \n",
       "14384          N,N,N,Bn,S@1.50,1.50           N,N,N,Bn,S@3.00,0.00  \n",
       "14385          N,N,N,Bn,S@3.00,0.00           N,N,N,B1,S@7.20,4.80  \n",
       "14386          N,N,N,Bn,S@4.00,0.00                 N,N,N,Bn,S@0,0  \n",
       "...                             ...                            ...  \n",
       "50213     OK,OK,OK,Bn,C1@0.00,36.00       OK,OK,OK,Bn,S@1.01,82.99  \n",
       "50214      OK,OK,OK,Bn,S@2.12,33.88       OK,OK,OK,B1,S@4.42,83.58  \n",
       "50218  SOK,SOK,SOK,Bn,S@1.53,543.47  SOK,SOK,SOK,B1,S@3.54,1038.46  \n",
       "50219      OK,OK,OK,OK,S@90.00,0.00  SOK,SOK,SOK,OK,S@144.60,13.40  \n",
       "50221      OK,OK,OK,B1,S@4.37,42.63      OK,OK,OK,OK,S@32.00,64.00  \n",
       "\n",
       "[20300 rows x 65 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2828"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# quality of dataset filter\n",
    "psi=events\n",
    "for t in tissues:\n",
    "    psi=psi[(psi[t+'-Q'].str.startswith('OK')) | (psi[t+'-Q'].str.startswith('SOK')) | (psi[t+'-Q'].str.startswith('L'))]\n",
    "    #psi=psi[(psi[t+'-Q'].str.startswith('OK')) | (psi[t+'-Q'].str.startswith('SOK'))]\n",
    "\n",
    "psi=psi[['EVENT']+tissues]\n",
    "len(psi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>EVENT</th>\n",
       "      <th>Heart_c</th>\n",
       "      <th>Heart_a</th>\n",
       "      <th>Heart_b</th>\n",
       "      <th>Muscle_b</th>\n",
       "      <th>Muscle_e</th>\n",
       "      <th>Whole_Brain_b</th>\n",
       "      <th>Cortex</th>\n",
       "      <th>Retina_peripheral</th>\n",
       "      <th>Placenta_a</th>\n",
       "      <th>Placenta_b</th>\n",
       "      <th>Placenta_c</th>\n",
       "      <th>Skin</th>\n",
       "      <th>Placenta_Epith</th>\n",
       "      <th>EpithelialCells</th>\n",
       "      <th>Colon_b</th>\n",
       "      <th>Stomach_a</th>\n",
       "      <th>Stomach_b</th>\n",
       "      <th>Liver_a</th>\n",
       "      <th>Liver_b</th>\n",
       "      <th>Liver_c</th>\n",
       "      <th>Kidney_c</th>\n",
       "      <th>Kidney_b</th>\n",
       "      <th>Adipose_b</th>\n",
       "      <th>Adipose_c</th>\n",
       "      <th>Adipose_d</th>\n",
       "      <th>Testis_a</th>\n",
       "      <th>Testis_c</th>\n",
       "      <th>Bone_marrow_a</th>\n",
       "      <th>Bone_marrow_b</th>\n",
       "      <th>Lymph_node_c</th>\n",
       "      <th>Ovary_a</th>\n",
       "      <th>Ovary_b</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14460</th>\n",
       "      <td>HsaEX0000112</td>\n",
       "      <td>85.85</td>\n",
       "      <td>92.48</td>\n",
       "      <td>85.90</td>\n",
       "      <td>88.32</td>\n",
       "      <td>84.47</td>\n",
       "      <td>91.77</td>\n",
       "      <td>92.34</td>\n",
       "      <td>98.44</td>\n",
       "      <td>94.47</td>\n",
       "      <td>97.78</td>\n",
       "      <td>91.85</td>\n",
       "      <td>100.00</td>\n",
       "      <td>93.97</td>\n",
       "      <td>93.27</td>\n",
       "      <td>95.16</td>\n",
       "      <td>100.0</td>\n",
       "      <td>96.64</td>\n",
       "      <td>97.14</td>\n",
       "      <td>100.00</td>\n",
       "      <td>98.88</td>\n",
       "      <td>96.97</td>\n",
       "      <td>99.59</td>\n",
       "      <td>96.69</td>\n",
       "      <td>94.02</td>\n",
       "      <td>95.52</td>\n",
       "      <td>98.49</td>\n",
       "      <td>98.30</td>\n",
       "      <td>99.12</td>\n",
       "      <td>96.06</td>\n",
       "      <td>96.49</td>\n",
       "      <td>90.19</td>\n",
       "      <td>90.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14475</th>\n",
       "      <td>HsaEX0000140</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.95</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.51</td>\n",
       "      <td>0.47</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.62</td>\n",
       "      <td>2.52</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.81</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.80</td>\n",
       "      <td>3.13</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.06</td>\n",
       "      <td>1.10</td>\n",
       "      <td>3.99</td>\n",
       "      <td>1.83</td>\n",
       "      <td>0.77</td>\n",
       "      <td>3.26</td>\n",
       "      <td>1.86</td>\n",
       "      <td>0.47</td>\n",
       "      <td>1.44</td>\n",
       "      <td>3.94</td>\n",
       "      <td>5.27</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5.62</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14476</th>\n",
       "      <td>HsaEX0000143</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.36</td>\n",
       "      <td>4.29</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.93</td>\n",
       "      <td>1.13</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14.05</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14510</th>\n",
       "      <td>HsaEX0000234</td>\n",
       "      <td>79.56</td>\n",
       "      <td>100.00</td>\n",
       "      <td>83.07</td>\n",
       "      <td>71.08</td>\n",
       "      <td>77.22</td>\n",
       "      <td>100.00</td>\n",
       "      <td>96.88</td>\n",
       "      <td>62.71</td>\n",
       "      <td>98.31</td>\n",
       "      <td>99.31</td>\n",
       "      <td>98.28</td>\n",
       "      <td>71.24</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>96.69</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>99.76</td>\n",
       "      <td>98.20</td>\n",
       "      <td>84.62</td>\n",
       "      <td>92.16</td>\n",
       "      <td>92.40</td>\n",
       "      <td>84.91</td>\n",
       "      <td>85.48</td>\n",
       "      <td>93.48</td>\n",
       "      <td>96.12</td>\n",
       "      <td>100.00</td>\n",
       "      <td>18.87</td>\n",
       "      <td>97.13</td>\n",
       "      <td>95.24</td>\n",
       "      <td>91.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14625</th>\n",
       "      <td>HsaEX0000543</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.61</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.08</td>\n",
       "      <td>2.33</td>\n",
       "      <td>0.66</td>\n",
       "      <td>2.59</td>\n",
       "      <td>0.57</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.08</td>\n",
       "      <td>0.60</td>\n",
       "      <td>2.09</td>\n",
       "      <td>58.4</td>\n",
       "      <td>1.88</td>\n",
       "      <td>5.62</td>\n",
       "      <td>6.89</td>\n",
       "      <td>1.91</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.65</td>\n",
       "      <td>1.57</td>\n",
       "      <td>0.24</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1.36</td>\n",
       "      <td>5.04</td>\n",
       "      <td>3.03</td>\n",
       "      <td>4.84</td>\n",
       "      <td>0.69</td>\n",
       "      <td>1.53</td>\n",
       "      <td>5.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50136</th>\n",
       "      <td>HsaEX0074508</td>\n",
       "      <td>95.95</td>\n",
       "      <td>98.62</td>\n",
       "      <td>94.05</td>\n",
       "      <td>100.00</td>\n",
       "      <td>93.33</td>\n",
       "      <td>94.12</td>\n",
       "      <td>93.94</td>\n",
       "      <td>95.80</td>\n",
       "      <td>95.47</td>\n",
       "      <td>85.43</td>\n",
       "      <td>87.90</td>\n",
       "      <td>96.28</td>\n",
       "      <td>100.00</td>\n",
       "      <td>98.59</td>\n",
       "      <td>98.66</td>\n",
       "      <td>100.0</td>\n",
       "      <td>96.55</td>\n",
       "      <td>100.00</td>\n",
       "      <td>96.89</td>\n",
       "      <td>94.74</td>\n",
       "      <td>95.50</td>\n",
       "      <td>89.81</td>\n",
       "      <td>96.32</td>\n",
       "      <td>96.03</td>\n",
       "      <td>100.00</td>\n",
       "      <td>99.11</td>\n",
       "      <td>99.44</td>\n",
       "      <td>89.58</td>\n",
       "      <td>97.85</td>\n",
       "      <td>99.47</td>\n",
       "      <td>93.14</td>\n",
       "      <td>99.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50140</th>\n",
       "      <td>HsaEX0074521</td>\n",
       "      <td>1.32</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.99</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.82</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.90</td>\n",
       "      <td>1.29</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.96</td>\n",
       "      <td>2.58</td>\n",
       "      <td>1.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1.30</td>\n",
       "      <td>0.58</td>\n",
       "      <td>3.72</td>\n",
       "      <td>3.10</td>\n",
       "      <td>0.53</td>\n",
       "      <td>1.56</td>\n",
       "      <td>0.73</td>\n",
       "      <td>2.71</td>\n",
       "      <td>3.68</td>\n",
       "      <td>4.66</td>\n",
       "      <td>0.52</td>\n",
       "      <td>4.86</td>\n",
       "      <td>1.50</td>\n",
       "      <td>7.06</td>\n",
       "      <td>3.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50141</th>\n",
       "      <td>HsaEX0074523</td>\n",
       "      <td>99.85</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>96.76</td>\n",
       "      <td>99.62</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>98.56</td>\n",
       "      <td>100.00</td>\n",
       "      <td>98.80</td>\n",
       "      <td>94.17</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>98.62</td>\n",
       "      <td>99.68</td>\n",
       "      <td>100.00</td>\n",
       "      <td>98.91</td>\n",
       "      <td>99.49</td>\n",
       "      <td>93.45</td>\n",
       "      <td>99.74</td>\n",
       "      <td>99.92</td>\n",
       "      <td>100.00</td>\n",
       "      <td>79.47</td>\n",
       "      <td>99.47</td>\n",
       "      <td>100.00</td>\n",
       "      <td>99.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50145</th>\n",
       "      <td>HsaEX0074528</td>\n",
       "      <td>59.33</td>\n",
       "      <td>61.33</td>\n",
       "      <td>68.83</td>\n",
       "      <td>54.10</td>\n",
       "      <td>56.07</td>\n",
       "      <td>30.89</td>\n",
       "      <td>61.17</td>\n",
       "      <td>30.84</td>\n",
       "      <td>57.31</td>\n",
       "      <td>46.21</td>\n",
       "      <td>44.97</td>\n",
       "      <td>68.28</td>\n",
       "      <td>83.46</td>\n",
       "      <td>70.40</td>\n",
       "      <td>49.00</td>\n",
       "      <td>100.0</td>\n",
       "      <td>63.25</td>\n",
       "      <td>63.64</td>\n",
       "      <td>47.72</td>\n",
       "      <td>48.33</td>\n",
       "      <td>58.26</td>\n",
       "      <td>44.22</td>\n",
       "      <td>54.79</td>\n",
       "      <td>65.92</td>\n",
       "      <td>61.95</td>\n",
       "      <td>33.23</td>\n",
       "      <td>38.32</td>\n",
       "      <td>26.13</td>\n",
       "      <td>35.16</td>\n",
       "      <td>41.91</td>\n",
       "      <td>50.61</td>\n",
       "      <td>60.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50194</th>\n",
       "      <td>HsaEX0074614</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.21</td>\n",
       "      <td>2.49</td>\n",
       "      <td>0.37</td>\n",
       "      <td>1.28</td>\n",
       "      <td>3.29</td>\n",
       "      <td>4.00</td>\n",
       "      <td>2.78</td>\n",
       "      <td>4.68</td>\n",
       "      <td>4.61</td>\n",
       "      <td>3.23</td>\n",
       "      <td>0.84</td>\n",
       "      <td>8.79</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.99</td>\n",
       "      <td>2.94</td>\n",
       "      <td>1.70</td>\n",
       "      <td>4.36</td>\n",
       "      <td>3.67</td>\n",
       "      <td>0.77</td>\n",
       "      <td>5.63</td>\n",
       "      <td>7.36</td>\n",
       "      <td>3.47</td>\n",
       "      <td>4.12</td>\n",
       "      <td>9.53</td>\n",
       "      <td>2.38</td>\n",
       "      <td>2.91</td>\n",
       "      <td>1.75</td>\n",
       "      <td>0.67</td>\n",
       "      <td>7.26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2828 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              EVENT  Heart_c  Heart_a  Heart_b  Muscle_b  Muscle_e  \\\n",
       "14460  HsaEX0000112    85.85    92.48    85.90     88.32     84.47   \n",
       "14475  HsaEX0000140     0.00     0.00     1.95      0.00      2.51   \n",
       "14476  HsaEX0000143     0.00     0.00     0.00      0.44      0.00   \n",
       "14510  HsaEX0000234    79.56   100.00    83.07     71.08     77.22   \n",
       "14625  HsaEX0000543     0.23     0.56     1.61      0.00      0.00   \n",
       "...             ...      ...      ...      ...       ...       ...   \n",
       "50136  HsaEX0074508    95.95    98.62    94.05    100.00     93.33   \n",
       "50140  HsaEX0074521     1.32     0.00     1.99      0.58      0.82   \n",
       "50141  HsaEX0074523    99.85   100.00   100.00     96.76     99.62   \n",
       "50145  HsaEX0074528    59.33    61.33    68.83     54.10     56.07   \n",
       "50194  HsaEX0074614     0.00     2.21     2.49      0.37      1.28   \n",
       "\n",
       "       Whole_Brain_b  Cortex  Retina_peripheral  Placenta_a  Placenta_b  \\\n",
       "14460          91.77   92.34              98.44       94.47       97.78   \n",
       "14475           0.47    1.90               2.62        2.52        0.00   \n",
       "14476           0.00    0.00               0.66        0.00        0.00   \n",
       "14510         100.00   96.88              62.71       98.31       99.31   \n",
       "14625           1.08    2.33               0.66        2.59        0.57   \n",
       "...              ...     ...                ...         ...         ...   \n",
       "50136          94.12   93.94              95.80       95.47       85.43   \n",
       "50140           0.00    0.81               0.90        1.29        0.00   \n",
       "50141         100.00  100.00             100.00       98.56      100.00   \n",
       "50145          30.89   61.17              30.84       57.31       46.21   \n",
       "50194           3.29    4.00               2.78        4.68        4.61   \n",
       "\n",
       "       Placenta_c    Skin  Placenta_Epith  EpithelialCells  Colon_b  \\\n",
       "14460       91.85  100.00           93.97            93.27    95.16   \n",
       "14475        4.81    0.00            3.80             3.13     0.66   \n",
       "14476        0.36    4.29            0.00             0.52     0.23   \n",
       "14510       98.28   71.24          100.00           100.00    96.69   \n",
       "14625        1.39    1.15            1.08             0.60     2.09   \n",
       "...           ...     ...             ...              ...      ...   \n",
       "50136       87.90   96.28          100.00            98.59    98.66   \n",
       "50140        0.00    1.96            2.58             1.05     0.00   \n",
       "50141       98.80   94.17          100.00           100.00   100.00   \n",
       "50145       44.97   68.28           83.46            70.40    49.00   \n",
       "50194        3.23    0.84            8.79             0.00     2.35   \n",
       "\n",
       "       Stomach_a  Stomach_b  Liver_a  Liver_b  Liver_c  Kidney_c  Kidney_b  \\\n",
       "14460      100.0      96.64    97.14   100.00    98.88     96.97     99.59   \n",
       "14475        0.0       3.06     1.10     3.99     1.83      0.77      3.26   \n",
       "14476        0.0       0.48     0.00     0.38     0.00      0.50      0.43   \n",
       "14510      100.0     100.00   100.00    99.76    98.20     84.62     92.16   \n",
       "14625       58.4       1.88     5.62     6.89     1.91      0.50      0.65   \n",
       "...          ...        ...      ...      ...      ...       ...       ...   \n",
       "50136      100.0      96.55   100.00    96.89    94.74     95.50     89.81   \n",
       "50140        0.0       1.72     1.30     0.58     3.72      3.10      0.53   \n",
       "50141      100.0     100.00   100.00   100.00    98.62     99.68    100.00   \n",
       "50145      100.0      63.25    63.64    47.72    48.33     58.26     44.22   \n",
       "50194        0.0       5.99     2.94     1.70     4.36      3.67      0.77   \n",
       "\n",
       "       Adipose_b  Adipose_c  Adipose_d  Testis_a  Testis_c  Bone_marrow_a  \\\n",
       "14460      96.69      94.02      95.52     98.49     98.30          99.12   \n",
       "14475       1.86       0.47       1.44      3.94      5.27           0.00   \n",
       "14476       0.58       0.56       0.93      1.13      3.00           0.00   \n",
       "14510      92.40      84.91      85.48     93.48     96.12         100.00   \n",
       "14625       1.57       0.24       1.75      1.36      5.04           3.03   \n",
       "...          ...        ...        ...       ...       ...            ...   \n",
       "50136      96.32      96.03     100.00     99.11     99.44          89.58   \n",
       "50140       1.56       0.73       2.71      3.68      4.66           0.52   \n",
       "50141      98.91      99.49      93.45     99.74     99.92         100.00   \n",
       "50145      54.79      65.92      61.95     33.23     38.32          26.13   \n",
       "50194       5.63       7.36       3.47      4.12      9.53           2.38   \n",
       "\n",
       "       Bone_marrow_b  Lymph_node_c  Ovary_a  Ovary_b  \n",
       "14460          96.06         96.49    90.19    90.83  \n",
       "14475           5.62          0.34     0.00     3.13  \n",
       "14476          14.05          0.12     0.00     0.26  \n",
       "14510          18.87         97.13    95.24    91.74  \n",
       "14625           4.84          0.69     1.53     5.13  \n",
       "...              ...           ...      ...      ...  \n",
       "50136          97.85         99.47    93.14    99.34  \n",
       "50140           4.86          1.50     7.06     3.34  \n",
       "50141          79.47         99.47   100.00    99.45  \n",
       "50145          35.16         41.91    50.61    60.63  \n",
       "50194           2.91          1.75     0.67     7.26  \n",
       "\n",
       "[2828 rows x 33 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "psi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "psi['std']=psi[tissues].std(axis = 1, skipna = True) \n",
    "psi['mean']=psi[tissues].mean(axis = 1, skipna = True) \n",
    "psi_var=psi[psi['std']>20]\n",
    "g = sns.clustermap(psi_var[tissues],cmap=\"viridis\",z_score=0)\n",
    "g.savefig(\"AS data/Heatmap.pdf\",format='pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "for t in list(tissue.keys()):\n",
    "\n",
    "    psi[t]=psi[tissue[t]].mean(axis = 1, skipna = True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "psi_tissue=psi[['EVENT']+list(tissue.keys())]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "tissues=list(tissue.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>EVENT</th>\n",
       "      <th>Muscles</th>\n",
       "      <th>Neural</th>\n",
       "      <th>Placental</th>\n",
       "      <th>Epithelial</th>\n",
       "      <th>Digestive</th>\n",
       "      <th>liver</th>\n",
       "      <th>Kidney</th>\n",
       "      <th>Adipose</th>\n",
       "      <th>Testis</th>\n",
       "      <th>Immune-Hematopoietic</th>\n",
       "      <th>Ovary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14460</th>\n",
       "      <td>HsaEX0000112</td>\n",
       "      <td>87.404</td>\n",
       "      <td>94.183333</td>\n",
       "      <td>94.700000</td>\n",
       "      <td>95.746667</td>\n",
       "      <td>97.266667</td>\n",
       "      <td>98.673333</td>\n",
       "      <td>98.280</td>\n",
       "      <td>95.410000</td>\n",
       "      <td>98.395</td>\n",
       "      <td>97.223333</td>\n",
       "      <td>90.510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14475</th>\n",
       "      <td>HsaEX0000140</td>\n",
       "      <td>0.892</td>\n",
       "      <td>1.663333</td>\n",
       "      <td>2.443333</td>\n",
       "      <td>2.310000</td>\n",
       "      <td>1.240000</td>\n",
       "      <td>2.306667</td>\n",
       "      <td>2.015</td>\n",
       "      <td>1.256667</td>\n",
       "      <td>4.605</td>\n",
       "      <td>1.986667</td>\n",
       "      <td>1.565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14476</th>\n",
       "      <td>HsaEX0000143</td>\n",
       "      <td>0.088</td>\n",
       "      <td>0.220000</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>1.603333</td>\n",
       "      <td>0.236667</td>\n",
       "      <td>0.126667</td>\n",
       "      <td>0.465</td>\n",
       "      <td>0.690000</td>\n",
       "      <td>2.065</td>\n",
       "      <td>4.723333</td>\n",
       "      <td>0.130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14510</th>\n",
       "      <td>HsaEX0000234</td>\n",
       "      <td>82.186</td>\n",
       "      <td>86.530000</td>\n",
       "      <td>98.633333</td>\n",
       "      <td>90.413333</td>\n",
       "      <td>98.896667</td>\n",
       "      <td>99.320000</td>\n",
       "      <td>88.390</td>\n",
       "      <td>87.596667</td>\n",
       "      <td>94.800</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>93.490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14625</th>\n",
       "      <td>HsaEX0000543</td>\n",
       "      <td>0.480</td>\n",
       "      <td>1.356667</td>\n",
       "      <td>1.516667</td>\n",
       "      <td>0.943333</td>\n",
       "      <td>20.790000</td>\n",
       "      <td>4.806667</td>\n",
       "      <td>0.575</td>\n",
       "      <td>1.186667</td>\n",
       "      <td>3.200</td>\n",
       "      <td>2.853333</td>\n",
       "      <td>3.330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50136</th>\n",
       "      <td>HsaEX0074508</td>\n",
       "      <td>96.390</td>\n",
       "      <td>94.620000</td>\n",
       "      <td>89.600000</td>\n",
       "      <td>98.290000</td>\n",
       "      <td>98.403333</td>\n",
       "      <td>97.210000</td>\n",
       "      <td>92.655</td>\n",
       "      <td>97.450000</td>\n",
       "      <td>99.275</td>\n",
       "      <td>95.633333</td>\n",
       "      <td>96.240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50140</th>\n",
       "      <td>HsaEX0074521</td>\n",
       "      <td>0.942</td>\n",
       "      <td>0.570000</td>\n",
       "      <td>0.430000</td>\n",
       "      <td>1.863333</td>\n",
       "      <td>0.573333</td>\n",
       "      <td>1.866667</td>\n",
       "      <td>1.815</td>\n",
       "      <td>1.666667</td>\n",
       "      <td>4.170</td>\n",
       "      <td>2.293333</td>\n",
       "      <td>5.200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50141</th>\n",
       "      <td>HsaEX0074523</td>\n",
       "      <td>99.246</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>99.120000</td>\n",
       "      <td>98.056667</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>99.540000</td>\n",
       "      <td>99.840</td>\n",
       "      <td>97.283333</td>\n",
       "      <td>99.830</td>\n",
       "      <td>92.980000</td>\n",
       "      <td>99.725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50145</th>\n",
       "      <td>HsaEX0074528</td>\n",
       "      <td>59.932</td>\n",
       "      <td>40.966667</td>\n",
       "      <td>49.496667</td>\n",
       "      <td>74.046667</td>\n",
       "      <td>70.750000</td>\n",
       "      <td>53.230000</td>\n",
       "      <td>51.240</td>\n",
       "      <td>60.886667</td>\n",
       "      <td>35.775</td>\n",
       "      <td>34.400000</td>\n",
       "      <td>55.620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50194</th>\n",
       "      <td>HsaEX0074614</td>\n",
       "      <td>1.270</td>\n",
       "      <td>3.356667</td>\n",
       "      <td>4.173333</td>\n",
       "      <td>3.210000</td>\n",
       "      <td>2.780000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.220</td>\n",
       "      <td>5.486667</td>\n",
       "      <td>6.825</td>\n",
       "      <td>2.346667</td>\n",
       "      <td>3.965</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2828 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              EVENT  Muscles      Neural  Placental  Epithelial   Digestive  \\\n",
       "14460  HsaEX0000112   87.404   94.183333  94.700000   95.746667   97.266667   \n",
       "14475  HsaEX0000140    0.892    1.663333   2.443333    2.310000    1.240000   \n",
       "14476  HsaEX0000143    0.088    0.220000   0.120000    1.603333    0.236667   \n",
       "14510  HsaEX0000234   82.186   86.530000  98.633333   90.413333   98.896667   \n",
       "14625  HsaEX0000543    0.480    1.356667   1.516667    0.943333   20.790000   \n",
       "...             ...      ...         ...        ...         ...         ...   \n",
       "50136  HsaEX0074508   96.390   94.620000  89.600000   98.290000   98.403333   \n",
       "50140  HsaEX0074521    0.942    0.570000   0.430000    1.863333    0.573333   \n",
       "50141  HsaEX0074523   99.246  100.000000  99.120000   98.056667  100.000000   \n",
       "50145  HsaEX0074528   59.932   40.966667  49.496667   74.046667   70.750000   \n",
       "50194  HsaEX0074614    1.270    3.356667   4.173333    3.210000    2.780000   \n",
       "\n",
       "           liver  Kidney    Adipose  Testis  Immune-Hematopoietic   Ovary  \n",
       "14460  98.673333  98.280  95.410000  98.395             97.223333  90.510  \n",
       "14475   2.306667   2.015   1.256667   4.605              1.986667   1.565  \n",
       "14476   0.126667   0.465   0.690000   2.065              4.723333   0.130  \n",
       "14510  99.320000  88.390  87.596667  94.800             72.000000  93.490  \n",
       "14625   4.806667   0.575   1.186667   3.200              2.853333   3.330  \n",
       "...          ...     ...        ...     ...                   ...     ...  \n",
       "50136  97.210000  92.655  97.450000  99.275             95.633333  96.240  \n",
       "50140   1.866667   1.815   1.666667   4.170              2.293333   5.200  \n",
       "50141  99.540000  99.840  97.283333  99.830             92.980000  99.725  \n",
       "50145  53.230000  51.240  60.886667  35.775             34.400000  55.620  \n",
       "50194   3.000000   2.220   5.486667   6.825              2.346667   3.965  \n",
       "\n",
       "[2828 rows x 12 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "psi_tissue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "psi_tissue['std']=psi_tissue[tissues].std(axis = 1, skipna = True) \n",
    "psi_tissue['mean']=psi_tissue[tissues].mean(axis = 1, skipna = True) \n",
    "psi_var=psi_tissue[psi_tissue['std']>20]\n",
    "g = sns.clustermap(psi_var[tissues],cmap=\"viridis\",z_score=0)\n",
    "#g.savefig(\"AS data/VastDB/Heatmap.pdf\",format='pdf' )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>EVENT</th>\n",
       "      <th>Muscles</th>\n",
       "      <th>Neural</th>\n",
       "      <th>Placental</th>\n",
       "      <th>Epithelial</th>\n",
       "      <th>Digestive</th>\n",
       "      <th>liver</th>\n",
       "      <th>Kidney</th>\n",
       "      <th>Adipose</th>\n",
       "      <th>Testis</th>\n",
       "      <th>Immune-Hematopoietic</th>\n",
       "      <th>Ovary</th>\n",
       "      <th>std</th>\n",
       "      <th>mean</th>\n",
       "      <th>Zscore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14460</th>\n",
       "      <td>HsaEX0000112</td>\n",
       "      <td>87.404</td>\n",
       "      <td>94.183333</td>\n",
       "      <td>94.700000</td>\n",
       "      <td>95.746667</td>\n",
       "      <td>97.266667</td>\n",
       "      <td>98.673333</td>\n",
       "      <td>98.280</td>\n",
       "      <td>95.410000</td>\n",
       "      <td>98.395</td>\n",
       "      <td>97.223333</td>\n",
       "      <td>90.510</td>\n",
       "      <td>3.528340</td>\n",
       "      <td>95.253848</td>\n",
       "      <td>-0.303405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14475</th>\n",
       "      <td>HsaEX0000140</td>\n",
       "      <td>0.892</td>\n",
       "      <td>1.663333</td>\n",
       "      <td>2.443333</td>\n",
       "      <td>2.310000</td>\n",
       "      <td>1.240000</td>\n",
       "      <td>2.306667</td>\n",
       "      <td>2.015</td>\n",
       "      <td>1.256667</td>\n",
       "      <td>4.605</td>\n",
       "      <td>1.986667</td>\n",
       "      <td>1.565</td>\n",
       "      <td>0.991271</td>\n",
       "      <td>2.025788</td>\n",
       "      <td>-0.365646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14476</th>\n",
       "      <td>HsaEX0000143</td>\n",
       "      <td>0.088</td>\n",
       "      <td>0.220000</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>1.603333</td>\n",
       "      <td>0.236667</td>\n",
       "      <td>0.126667</td>\n",
       "      <td>0.465</td>\n",
       "      <td>0.690000</td>\n",
       "      <td>2.065</td>\n",
       "      <td>4.723333</td>\n",
       "      <td>0.130</td>\n",
       "      <td>1.415446</td>\n",
       "      <td>0.951636</td>\n",
       "      <td>-0.516895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14510</th>\n",
       "      <td>HsaEX0000234</td>\n",
       "      <td>82.186</td>\n",
       "      <td>86.530000</td>\n",
       "      <td>98.633333</td>\n",
       "      <td>90.413333</td>\n",
       "      <td>98.896667</td>\n",
       "      <td>99.320000</td>\n",
       "      <td>88.390</td>\n",
       "      <td>87.596667</td>\n",
       "      <td>94.800</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>93.490</td>\n",
       "      <td>8.251929</td>\n",
       "      <td>90.205091</td>\n",
       "      <td>-0.445361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14625</th>\n",
       "      <td>HsaEX0000543</td>\n",
       "      <td>0.480</td>\n",
       "      <td>1.356667</td>\n",
       "      <td>1.516667</td>\n",
       "      <td>0.943333</td>\n",
       "      <td>20.790000</td>\n",
       "      <td>4.806667</td>\n",
       "      <td>0.575</td>\n",
       "      <td>1.186667</td>\n",
       "      <td>3.200</td>\n",
       "      <td>2.853333</td>\n",
       "      <td>3.330</td>\n",
       "      <td>5.819746</td>\n",
       "      <td>3.730758</td>\n",
       "      <td>-0.407937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50136</th>\n",
       "      <td>HsaEX0074508</td>\n",
       "      <td>96.390</td>\n",
       "      <td>94.620000</td>\n",
       "      <td>89.600000</td>\n",
       "      <td>98.290000</td>\n",
       "      <td>98.403333</td>\n",
       "      <td>97.210000</td>\n",
       "      <td>92.655</td>\n",
       "      <td>97.450000</td>\n",
       "      <td>99.275</td>\n",
       "      <td>95.633333</td>\n",
       "      <td>96.240</td>\n",
       "      <td>2.823207</td>\n",
       "      <td>95.978788</td>\n",
       "      <td>-0.481292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50140</th>\n",
       "      <td>HsaEX0074521</td>\n",
       "      <td>0.942</td>\n",
       "      <td>0.570000</td>\n",
       "      <td>0.430000</td>\n",
       "      <td>1.863333</td>\n",
       "      <td>0.573333</td>\n",
       "      <td>1.866667</td>\n",
       "      <td>1.815</td>\n",
       "      <td>1.666667</td>\n",
       "      <td>4.170</td>\n",
       "      <td>2.293333</td>\n",
       "      <td>5.200</td>\n",
       "      <td>1.511539</td>\n",
       "      <td>1.944576</td>\n",
       "      <td>-0.909388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50141</th>\n",
       "      <td>HsaEX0074523</td>\n",
       "      <td>99.246</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>99.120000</td>\n",
       "      <td>98.056667</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>99.540000</td>\n",
       "      <td>99.840</td>\n",
       "      <td>97.283333</td>\n",
       "      <td>99.830</td>\n",
       "      <td>92.980000</td>\n",
       "      <td>99.725</td>\n",
       "      <td>2.081487</td>\n",
       "      <td>98.692818</td>\n",
       "      <td>0.628004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50145</th>\n",
       "      <td>HsaEX0074528</td>\n",
       "      <td>59.932</td>\n",
       "      <td>40.966667</td>\n",
       "      <td>49.496667</td>\n",
       "      <td>74.046667</td>\n",
       "      <td>70.750000</td>\n",
       "      <td>53.230000</td>\n",
       "      <td>51.240</td>\n",
       "      <td>60.886667</td>\n",
       "      <td>35.775</td>\n",
       "      <td>34.400000</td>\n",
       "      <td>55.620</td>\n",
       "      <td>12.949944</td>\n",
       "      <td>53.303970</td>\n",
       "      <td>-0.952692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50194</th>\n",
       "      <td>HsaEX0074614</td>\n",
       "      <td>1.270</td>\n",
       "      <td>3.356667</td>\n",
       "      <td>4.173333</td>\n",
       "      <td>3.210000</td>\n",
       "      <td>2.780000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.220</td>\n",
       "      <td>5.486667</td>\n",
       "      <td>6.825</td>\n",
       "      <td>2.346667</td>\n",
       "      <td>3.965</td>\n",
       "      <td>1.564768</td>\n",
       "      <td>3.512121</td>\n",
       "      <td>-0.099347</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2828 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              EVENT  Muscles      Neural  Placental  Epithelial   Digestive  \\\n",
       "14460  HsaEX0000112   87.404   94.183333  94.700000   95.746667   97.266667   \n",
       "14475  HsaEX0000140    0.892    1.663333   2.443333    2.310000    1.240000   \n",
       "14476  HsaEX0000143    0.088    0.220000   0.120000    1.603333    0.236667   \n",
       "14510  HsaEX0000234   82.186   86.530000  98.633333   90.413333   98.896667   \n",
       "14625  HsaEX0000543    0.480    1.356667   1.516667    0.943333   20.790000   \n",
       "...             ...      ...         ...        ...         ...         ...   \n",
       "50136  HsaEX0074508   96.390   94.620000  89.600000   98.290000   98.403333   \n",
       "50140  HsaEX0074521    0.942    0.570000   0.430000    1.863333    0.573333   \n",
       "50141  HsaEX0074523   99.246  100.000000  99.120000   98.056667  100.000000   \n",
       "50145  HsaEX0074528   59.932   40.966667  49.496667   74.046667   70.750000   \n",
       "50194  HsaEX0074614    1.270    3.356667   4.173333    3.210000    2.780000   \n",
       "\n",
       "           liver  Kidney    Adipose  Testis  Immune-Hematopoietic   Ovary  \\\n",
       "14460  98.673333  98.280  95.410000  98.395             97.223333  90.510   \n",
       "14475   2.306667   2.015   1.256667   4.605              1.986667   1.565   \n",
       "14476   0.126667   0.465   0.690000   2.065              4.723333   0.130   \n",
       "14510  99.320000  88.390  87.596667  94.800             72.000000  93.490   \n",
       "14625   4.806667   0.575   1.186667   3.200              2.853333   3.330   \n",
       "...          ...     ...        ...     ...                   ...     ...   \n",
       "50136  97.210000  92.655  97.450000  99.275             95.633333  96.240   \n",
       "50140   1.866667   1.815   1.666667   4.170              2.293333   5.200   \n",
       "50141  99.540000  99.840  97.283333  99.830             92.980000  99.725   \n",
       "50145  53.230000  51.240  60.886667  35.775             34.400000  55.620   \n",
       "50194   3.000000   2.220   5.486667   6.825              2.346667   3.965   \n",
       "\n",
       "             std       mean    Zscore  \n",
       "14460   3.528340  95.253848 -0.303405  \n",
       "14475   0.991271   2.025788 -0.365646  \n",
       "14476   1.415446   0.951636 -0.516895  \n",
       "14510   8.251929  90.205091 -0.445361  \n",
       "14625   5.819746   3.730758 -0.407937  \n",
       "...          ...        ...       ...  \n",
       "50136   2.823207  95.978788 -0.481292  \n",
       "50140   1.511539   1.944576 -0.909388  \n",
       "50141   2.081487  98.692818  0.628004  \n",
       "50145  12.949944  53.303970 -0.952692  \n",
       "50194   1.564768   3.512121 -0.099347  \n",
       "\n",
       "[2828 rows x 15 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tissue_interest='Neural'\n",
    "psi_tissue['Zscore']=(psi_tissue[tissue_interest] - psi_tissue['mean'])/psi_tissue['std']\n",
    "psi_tissue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "124"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "psi_filtred=psi_tissue[ psi_tissue['Zscore']>2]\n",
    "len(psi_filtred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "62"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#psi_filtred=psi_filtred[  (psi_filtred['mean']>1) &   (psi_filtred['mean']<90) ]\n",
    "psi_filtred=psi_filtred[  psi_filtred[tissue_interest]>20 ]\n",
    "len(psi_filtred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clustering and visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.clustermap(psi_filtred[tissues],cmap=\"viridis\",z_score=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Prepare the list of events in NEASE format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ensembl.gene</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ENSG00000033627</td>\n",
       "      <td>42508572</td>\n",
       "      <td>42508589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ENSG00000066855</td>\n",
       "      <td>65689566</td>\n",
       "      <td>65689599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ENSG00000070961</td>\n",
       "      <td>89598657</td>\n",
       "      <td>89598743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ENSG00000075945</td>\n",
       "      <td>169925787</td>\n",
       "      <td>169925855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ENSG00000263001</td>\n",
       "      <td>74714860</td>\n",
       "      <td>74714916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ENSG00000080822</td>\n",
       "      <td>98521653</td>\n",
       "      <td>98521696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ENSG00000084234</td>\n",
       "      <td>130137256</td>\n",
       "      <td>130137291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ENSG00000087274</td>\n",
       "      <td>2867972</td>\n",
       "      <td>2868129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ENSG00000087274</td>\n",
       "      <td>2926642</td>\n",
       "      <td>2926675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ENSG00000087470</td>\n",
       "      <td>32705825</td>\n",
       "      <td>32705863</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ensembl.gene      start        end\n",
       "0  ENSG00000033627   42508572   42508589\n",
       "1  ENSG00000066855   65689566   65689599\n",
       "2  ENSG00000070961   89598657   89598743\n",
       "3  ENSG00000075945  169925787  169925855\n",
       "4  ENSG00000263001   74714860   74714916\n",
       "5  ENSG00000080822   98521653   98521696\n",
       "6  ENSG00000084234  130137256  130137291\n",
       "7  ENSG00000087274    2867972    2868129\n",
       "8  ENSG00000087274    2926642    2926675\n",
       "9  ENSG00000087470   32705825   32705863"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "event_cord=pd.merge(annot,psi_filtred['EVENT'])    \n",
    "\n",
    "event_cord['start']= event_cord['COORD_o'].apply(lambda x: x.split('-')[0].split(':')[1])\n",
    "event_cord['end']= event_cord['COORD_o'].apply(lambda x: x.split('-')[1])\n",
    "#event_cord=event_cord[['GENE','start','end']]\n",
    "mg = mygene.MyGeneInfo()\n",
    "out = mg.querymany(list(event_cord.GENE.unique()), scopes=\"symbol\",  fields='ensembl.gene', species=\"human\", verbose=False, as_dataframe = True,\n",
    "                  df_index = True)\n",
    "convert_help=out['ensembl.gene'].to_frame().dropna()\n",
    "\n",
    "# convert gene names to gene IDs using nease functions\n",
    "#convert_help=nease.functions.database_mapping['Human'][['Gene name','Gene stable ID']]\n",
    "input=pd.merge(event_cord,convert_help,left_on='GENE',right_index=True)\n",
    "input=input[['ensembl.gene','start','end']].drop_duplicates()\n",
    "input.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## NEASE analysis\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Delta PSI column was not found. Proceeding with all events (no filtering)\n",
      "\n",
      "\t\tData Summary\n",
      "**************************************************\n",
      "15 protein domains are affected by AS.\n",
      "\n",
      "1 linear motifs are affected by AS.\n",
      "1 interacting resiude are affected by AS.\n",
      "\n",
      "10 of the affected domains/motifs have known interactions.\n",
      "43 protein interactions/binding affected.\n",
      "\n",
      "**************************************************\n",
      "Running enrichment analysis...\n",
      "NEASE enrichment done.\n"
     ]
    }
   ],
   "source": [
    "# Run nease with standard input.\n",
    "events=nease.run(input, organism='Human')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ARCHS4_Cell-lines',\n",
       " 'ARCHS4_IDG_Coexp',\n",
       " 'ARCHS4_Kinases_Coexp',\n",
       " 'ARCHS4_TFs_Coexp',\n",
       " 'ARCHS4_Tissues',\n",
       " 'Achilles_fitness_decrease',\n",
       " 'Achilles_fitness_increase',\n",
       " 'Aging_Perturbations_from_GEO_down',\n",
       " 'Aging_Perturbations_from_GEO_up',\n",
       " 'Allen_Brain_Atlas_10x_scRNA_2021']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This is an enrichement at gene level: all (diff) spliced genes.\n",
    "# The function use the library gseapy and need gseapy_databases parameter \n",
    "# let first check what libraries are available on gseapy for Human\n",
    "\n",
    "import gseapy as gp\n",
    "Human = gp.get_library_name(database='Human')\n",
    "Human[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_set</th>\n",
       "      <th>Term</th>\n",
       "      <th>Overlap</th>\n",
       "      <th>P-value</th>\n",
       "      <th>Adjusted P-value</th>\n",
       "      <th>Old P-value</th>\n",
       "      <th>Old Adjusted P-value</th>\n",
       "      <th>Odds Ratio</th>\n",
       "      <th>Combined Score</th>\n",
       "      <th>Genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KEGG_2019_Human</td>\n",
       "      <td>Endocrine and other factor-regulated calcium reabsorption</td>\n",
       "      <td>4/48</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000575</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36.185455</td>\n",
       "      <td>422.674973</td>\n",
       "      <td>CLTB;CLTA;AP2A1;ATP2B1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>KEGG_2019_Human</td>\n",
       "      <td>Synaptic vesicle cycle</td>\n",
       "      <td>4/78</td>\n",
       "      <td>0.000058</td>\n",
       "      <td>0.001985</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>21.483243</td>\n",
       "      <td>209.431861</td>\n",
       "      <td>CLTB;CLTA;AP2A1;ATP6V0A1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KEGG_2019_Human</td>\n",
       "      <td>Lysosome</td>\n",
       "      <td>4/123</td>\n",
       "      <td>0.000340</td>\n",
       "      <td>0.007699</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.329076</td>\n",
       "      <td>106.466958</td>\n",
       "      <td>AP1B1;CLTB;CLTA;ATP6V0A1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>KEGG_2019_Human</td>\n",
       "      <td>cGMP-PKG signaling pathway</td>\n",
       "      <td>4/166</td>\n",
       "      <td>0.001048</td>\n",
       "      <td>0.017813</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.769877</td>\n",
       "      <td>67.031683</td>\n",
       "      <td>PPP3CA;ATP2B1;MEF2D;GTF2I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>KEGG_2019_Human</td>\n",
       "      <td>Huntington disease</td>\n",
       "      <td>4/193</td>\n",
       "      <td>0.001824</td>\n",
       "      <td>0.024806</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8.362751</td>\n",
       "      <td>52.741753</td>\n",
       "      <td>DCTN4;CLTB;CLTA;AP2A1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>KEGG_2019_Human</td>\n",
       "      <td>Human T-cell leukemia virus 1 infection</td>\n",
       "      <td>1/219</td>\n",
       "      <td>0.448632</td>\n",
       "      <td>0.476672</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.707461</td>\n",
       "      <td>1.368617</td>\n",
       "      <td>PPP3CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>KEGG_2019_Human</td>\n",
       "      <td>Human cytomegalovirus infection</td>\n",
       "      <td>1/225</td>\n",
       "      <td>0.457603</td>\n",
       "      <td>0.478723</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.661220</td>\n",
       "      <td>1.298663</td>\n",
       "      <td>PPP3CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>KEGG_2019_Human</td>\n",
       "      <td>Thermogenesis</td>\n",
       "      <td>1/231</td>\n",
       "      <td>0.466431</td>\n",
       "      <td>0.480565</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.617391</td>\n",
       "      <td>1.233497</td>\n",
       "      <td>SMARCC2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>KEGG_2019_Human</td>\n",
       "      <td>MAPK signaling pathway</td>\n",
       "      <td>1/295</td>\n",
       "      <td>0.552243</td>\n",
       "      <td>0.560485</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.261199</td>\n",
       "      <td>0.748859</td>\n",
       "      <td>PPP3CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>KEGG_2019_Human</td>\n",
       "      <td>Human papillomavirus infection</td>\n",
       "      <td>1/330</td>\n",
       "      <td>0.593281</td>\n",
       "      <td>0.593281</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.125022</td>\n",
       "      <td>0.587359</td>\n",
       "      <td>ATP6V0A1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Gene_set  \\\n",
       "0   KEGG_2019_Human   \n",
       "1   KEGG_2019_Human   \n",
       "2   KEGG_2019_Human   \n",
       "3   KEGG_2019_Human   \n",
       "4   KEGG_2019_Human   \n",
       "..              ...   \n",
       "63  KEGG_2019_Human   \n",
       "64  KEGG_2019_Human   \n",
       "65  KEGG_2019_Human   \n",
       "66  KEGG_2019_Human   \n",
       "67  KEGG_2019_Human   \n",
       "\n",
       "                                                         Term Overlap  \\\n",
       "0   Endocrine and other factor-regulated calcium reabsorption    4/48   \n",
       "1                                      Synaptic vesicle cycle    4/78   \n",
       "2                                                    Lysosome   4/123   \n",
       "3                                  cGMP-PKG signaling pathway   4/166   \n",
       "4                                          Huntington disease   4/193   \n",
       "..                                                        ...     ...   \n",
       "63                    Human T-cell leukemia virus 1 infection   1/219   \n",
       "64                            Human cytomegalovirus infection   1/225   \n",
       "65                                              Thermogenesis   1/231   \n",
       "66                                     MAPK signaling pathway   1/295   \n",
       "67                             Human papillomavirus infection   1/330   \n",
       "\n",
       "     P-value  Adjusted P-value  Old P-value  Old Adjusted P-value  Odds Ratio  \\\n",
       "0   0.000008          0.000575            0                     0   36.185455   \n",
       "1   0.000058          0.001985            0                     0   21.483243   \n",
       "2   0.000340          0.007699            0                     0   13.329076   \n",
       "3   0.001048          0.017813            0                     0    9.769877   \n",
       "4   0.001824          0.024806            0                     0    8.362751   \n",
       "..       ...               ...          ...                   ...         ...   \n",
       "63  0.448632          0.476672            0                     0    1.707461   \n",
       "64  0.457603          0.478723            0                     0    1.661220   \n",
       "65  0.466431          0.480565            0                     0    1.617391   \n",
       "66  0.552243          0.560485            0                     0    1.261199   \n",
       "67  0.593281          0.593281            0                     0    1.125022   \n",
       "\n",
       "    Combined Score                      Genes  \n",
       "0       422.674973     CLTB;CLTA;AP2A1;ATP2B1  \n",
       "1       209.431861   CLTB;CLTA;AP2A1;ATP6V0A1  \n",
       "2       106.466958   AP1B1;CLTB;CLTA;ATP6V0A1  \n",
       "3        67.031683  PPP3CA;ATP2B1;MEF2D;GTF2I  \n",
       "4        52.741753      DCTN4;CLTB;CLTA;AP2A1  \n",
       "..             ...                        ...  \n",
       "63        1.368617                     PPP3CA  \n",
       "64        1.298663                     PPP3CA  \n",
       "65        1.233497                    SMARCC2  \n",
       "66        0.748859                     PPP3CA  \n",
       "67        0.587359                   ATP6V0A1  \n",
       "\n",
       "[68 rows x 10 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Run on KEGG gene set\n",
    "enr=events.classic_enrich(gseapy_databases=['KEGG_2019_Human'])\n",
    "enr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### NEASE analysis\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "events.get_stats('AS data/VastDB/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene name</th>\n",
       "      <th>NCBI gene ID</th>\n",
       "      <th>Gene stable ID</th>\n",
       "      <th>Exon stable ID</th>\n",
       "      <th>Pfam ID</th>\n",
       "      <th>dPSI</th>\n",
       "      <th>Interacting domain</th>\n",
       "      <th>Interaction type</th>\n",
       "      <th>Visualization link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ATP6V0A1</td>\n",
       "      <td>535</td>\n",
       "      <td>ENSG00000033627</td>\n",
       "      <td>ENSE00002384160</td>\n",
       "      <td>PF01496</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00002384160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ATP2B1</td>\n",
       "      <td>490</td>\n",
       "      <td>ENSG00000070961</td>\n",
       "      <td>ENSE00000909420</td>\n",
       "      <td>PF12424</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00000909420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DNM1L</td>\n",
       "      <td>10059</td>\n",
       "      <td>ENSG00000087470</td>\n",
       "      <td>ENSE00003507654</td>\n",
       "      <td>PF00350</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003507654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SH3GLB1</td>\n",
       "      <td>51100</td>\n",
       "      <td>ENSG00000097033</td>\n",
       "      <td>ENSE00001013176</td>\n",
       "      <td>PF03114</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001013176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ABLIM1</td>\n",
       "      <td>3983</td>\n",
       "      <td>ENSG00000099204</td>\n",
       "      <td>ENSE00000811956</td>\n",
       "      <td>PF16182</td>\n",
       "      <td>-</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>TPD52L2</td>\n",
       "      <td>7165</td>\n",
       "      <td>ENSG00000101150</td>\n",
       "      <td>ENSE00001385875</td>\n",
       "      <td>PF04201</td>\n",
       "      <td>-</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NRBP1</td>\n",
       "      <td>29959</td>\n",
       "      <td>ENSG00000115216</td>\n",
       "      <td>ENSE00001561634</td>\n",
       "      <td>PF07714</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001561634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CLTA</td>\n",
       "      <td>1211</td>\n",
       "      <td>ENSG00000122705</td>\n",
       "      <td>ENSE00000699567</td>\n",
       "      <td>PF01086</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00000699567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>PARP6</td>\n",
       "      <td>56965</td>\n",
       "      <td>ENSG00000137817</td>\n",
       "      <td>ENSE00003550643</td>\n",
       "      <td>PF00644</td>\n",
       "      <td>-</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ABI2</td>\n",
       "      <td>10152</td>\n",
       "      <td>ENSG00000138443</td>\n",
       "      <td>ENSE00003679000</td>\n",
       "      <td>PF07815</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003679000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>HERC4</td>\n",
       "      <td>26091</td>\n",
       "      <td>ENSG00000148634</td>\n",
       "      <td>ENSE00001095768</td>\n",
       "      <td>PF00632</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001095768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>NPTN</td>\n",
       "      <td>27020</td>\n",
       "      <td>ENSG00000156642</td>\n",
       "      <td>ENSE00003628659</td>\n",
       "      <td>PF13927</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003628659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CLTB</td>\n",
       "      <td>1212</td>\n",
       "      <td>ENSG00000175416</td>\n",
       "      <td>ENSE00001196736</td>\n",
       "      <td>PF01086</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001196736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>EXOC7</td>\n",
       "      <td>23265</td>\n",
       "      <td>ENSG00000182473</td>\n",
       "      <td>ENSE00003586049</td>\n",
       "      <td>PF03081</td>\n",
       "      <td>-</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>ASPH</td>\n",
       "      <td>444</td>\n",
       "      <td>ENSG00000198363</td>\n",
       "      <td>ENSE00001316358</td>\n",
       "      <td>PF05279</td>\n",
       "      <td>-</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gene name NCBI gene ID   Gene stable ID   Exon stable ID  Pfam ID dPSI  \\\n",
       "0   ATP6V0A1          535  ENSG00000033627  ENSE00002384160  PF01496    -   \n",
       "1     ATP2B1          490  ENSG00000070961  ENSE00000909420  PF12424    -   \n",
       "2      DNM1L        10059  ENSG00000087470  ENSE00003507654  PF00350    -   \n",
       "3    SH3GLB1        51100  ENSG00000097033  ENSE00001013176  PF03114    -   \n",
       "4     ABLIM1         3983  ENSG00000099204  ENSE00000811956  PF16182    -   \n",
       "5    TPD52L2         7165  ENSG00000101150  ENSE00001385875  PF04201    -   \n",
       "6      NRBP1        29959  ENSG00000115216  ENSE00001561634  PF07714    -   \n",
       "7       CLTA         1211  ENSG00000122705  ENSE00000699567  PF01086    -   \n",
       "8      PARP6        56965  ENSG00000137817  ENSE00003550643  PF00644    -   \n",
       "9       ABI2        10152  ENSG00000138443  ENSE00003679000  PF07815    -   \n",
       "10     HERC4        26091  ENSG00000148634  ENSE00001095768  PF00632    -   \n",
       "11      NPTN        27020  ENSG00000156642  ENSE00003628659  PF13927    -   \n",
       "12      CLTB         1212  ENSG00000175416  ENSE00001196736  PF01086    -   \n",
       "13     EXOC7        23265  ENSG00000182473  ENSE00003586049  PF03081    -   \n",
       "14      ASPH          444  ENSG00000198363  ENSE00001316358  PF05279    -   \n",
       "\n",
       "    Interacting domain Interaction type  \\\n",
       "0                 True              DDI   \n",
       "1                 True              DDI   \n",
       "2                 True              DDI   \n",
       "3                 True              DDI   \n",
       "4                False             None   \n",
       "5                False             None   \n",
       "6                 True              DDI   \n",
       "7                 True              DDI   \n",
       "8                False             None   \n",
       "9                 True              DDI   \n",
       "10                True              DDI   \n",
       "11                True              DDI   \n",
       "12                True              DDI   \n",
       "13               False             None   \n",
       "14               False             None   \n",
       "\n",
       "                                         Visualization link  \n",
       "0   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00002384160  \n",
       "1   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00000909420  \n",
       "2   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003507654  \n",
       "3   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001013176  \n",
       "4                                                            \n",
       "5                                                            \n",
       "6   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001561634  \n",
       "7   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00000699567  \n",
       "8                                                            \n",
       "9   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003679000  \n",
       "10  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001095768  \n",
       "11  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003628659  \n",
       "12  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001196736  \n",
       "13                                                           \n",
       "14                                                           "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get list of all protein domais affected by AS.\n",
    "# A link to DIGGER database for lost/gained domain and their binding.\n",
    "\n",
    "events.get_domains()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene name</th>\n",
       "      <th>entrezgene</th>\n",
       "      <th>Gene stable ID</th>\n",
       "      <th>ELMIdentifier</th>\n",
       "      <th>dPSI</th>\n",
       "      <th>ELM link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ATP2B1</td>\n",
       "      <td>490</td>\n",
       "      <td>ENSG00000070961</td>\n",
       "      <td>TRG_DiLeu_BaLyEn_6</td>\n",
       "      <td>-</td>\n",
       "      <td>http://elm.eu.org/elms/TRG_DiLeu_BaLyEn_6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Gene name entrezgene   Gene stable ID       ELMIdentifier dPSI  \\\n",
       "1    ATP2B1        490  ENSG00000070961  TRG_DiLeu_BaLyEn_6    -   \n",
       "\n",
       "                                    ELM link  \n",
       "1  http://elm.eu.org/elms/TRG_DiLeu_BaLyEn_6  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the affected linear motifs\n",
    "events.get_elm()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene name</th>\n",
       "      <th>NCBI gene ID</th>\n",
       "      <th>Gene stable ID</th>\n",
       "      <th>Co-resolved interactions symbol</th>\n",
       "      <th>Co-resolved interactions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DNM1L</td>\n",
       "      <td>10059</td>\n",
       "      <td>ENSG00000087470</td>\n",
       "      <td>DNM1L</td>\n",
       "      <td>10059</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Gene name NCBI gene ID   Gene stable ID Co-resolved interactions symbol  \\\n",
       "0     DNM1L        10059  ENSG00000087470                           DNM1L   \n",
       "\n",
       "  Co-resolved interactions  \n",
       "0                    10059  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get interacting residues affected by AS\n",
    "events.get_pdb()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene name</th>\n",
       "      <th>NCBI gene ID</th>\n",
       "      <th>Identifier</th>\n",
       "      <th>dPSI</th>\n",
       "      <th>Number of affected interactions</th>\n",
       "      <th>Affected binding</th>\n",
       "      <th>Affected binding (NCBI)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>HERC4</td>\n",
       "      <td>26091</td>\n",
       "      <td>PF00632</td>\n",
       "      <td>-</td>\n",
       "      <td>10</td>\n",
       "      <td>UBE2E3,UBE2J2,UBC,HERC6,USP5,HERC4,BAG3,UBE2D2,RAD23A,UBE2L3</td>\n",
       "      <td>7332,118424,10477,7316,55008,8078,26091,9531,5886,7322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ATP6V0A1</td>\n",
       "      <td>535</td>\n",
       "      <td>PF01496</td>\n",
       "      <td>-</td>\n",
       "      <td>7</td>\n",
       "      <td>ATP6V0A2,ATP6V0D2,ATP6V1E1,ATP6V0D1,ATP6V1D,ATP6V0E1,ATP6V1B1</td>\n",
       "      <td>23545,245972,529,9114,51382,8992,525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CLTB</td>\n",
       "      <td>1212</td>\n",
       "      <td>PF01086</td>\n",
       "      <td>-</td>\n",
       "      <td>6</td>\n",
       "      <td>HIP1,VPS41,CLTCL1,PICALM,HIP1R,CLTC</td>\n",
       "      <td>3092,27072,8218,8301,9026,1213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DNM1L</td>\n",
       "      <td>10059</td>\n",
       "      <td>PF00350</td>\n",
       "      <td>-</td>\n",
       "      <td>5</td>\n",
       "      <td>DDX39B,DNM1L,MYH11,EIF4A3,DDX21</td>\n",
       "      <td>7919,10059,4629,9775,9188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SH3GLB1</td>\n",
       "      <td>51100</td>\n",
       "      <td>PF03114</td>\n",
       "      <td>-</td>\n",
       "      <td>4</td>\n",
       "      <td>SH3GLB2,ARHGAP17,SH3GL1,SH3GLB1</td>\n",
       "      <td>56904,55114,6455,51100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ABI2</td>\n",
       "      <td>10152</td>\n",
       "      <td>PF07815</td>\n",
       "      <td>-</td>\n",
       "      <td>4</td>\n",
       "      <td>NCKAP1L,CYFIP2,CYFIP1,NCKAP1</td>\n",
       "      <td>3071,26999,23191,10787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CLTA</td>\n",
       "      <td>1211</td>\n",
       "      <td>PF01086</td>\n",
       "      <td>-</td>\n",
       "      <td>3</td>\n",
       "      <td>CLTCL1,PICALM,CLTC</td>\n",
       "      <td>8218,8301,1213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NRBP1</td>\n",
       "      <td>29959</td>\n",
       "      <td>PF07714</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>GSK3B,CD2AP</td>\n",
       "      <td>2932,23607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ATP2B1</td>\n",
       "      <td>490</td>\n",
       "      <td>PF12424</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>CALM1</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>NPTN</td>\n",
       "      <td>27020</td>\n",
       "      <td>PF13927</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>BSG</td>\n",
       "      <td>682</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Gene name NCBI gene ID Identifier dPSI  Number of affected interactions  \\\n",
       "0     HERC4        26091    PF00632    -                               10   \n",
       "1  ATP6V0A1          535    PF01496    -                                7   \n",
       "2      CLTB         1212    PF01086    -                                6   \n",
       "3     DNM1L        10059    PF00350    -                                5   \n",
       "4   SH3GLB1        51100    PF03114    -                                4   \n",
       "5      ABI2        10152    PF07815    -                                4   \n",
       "6      CLTA         1211    PF01086    -                                3   \n",
       "7     NRBP1        29959    PF07714    -                                2   \n",
       "8    ATP2B1          490    PF12424    -                                1   \n",
       "9      NPTN        27020    PF13927    -                                1   \n",
       "\n",
       "                                                Affected binding  \\\n",
       "0   UBE2E3,UBE2J2,UBC,HERC6,USP5,HERC4,BAG3,UBE2D2,RAD23A,UBE2L3   \n",
       "1  ATP6V0A2,ATP6V0D2,ATP6V1E1,ATP6V0D1,ATP6V1D,ATP6V0E1,ATP6V1B1   \n",
       "2                            HIP1,VPS41,CLTCL1,PICALM,HIP1R,CLTC   \n",
       "3                                DDX39B,DNM1L,MYH11,EIF4A3,DDX21   \n",
       "4                                SH3GLB2,ARHGAP17,SH3GL1,SH3GLB1   \n",
       "5                                   NCKAP1L,CYFIP2,CYFIP1,NCKAP1   \n",
       "6                                             CLTCL1,PICALM,CLTC   \n",
       "7                                                    GSK3B,CD2AP   \n",
       "8                                                          CALM1   \n",
       "9                                                            BSG   \n",
       "\n",
       "                                  Affected binding (NCBI)  \n",
       "0  7332,118424,10477,7316,55008,8078,26091,9531,5886,7322  \n",
       "1                    23545,245972,529,9114,51382,8992,525  \n",
       "2                          3092,27072,8218,8301,9026,1213  \n",
       "3                               7919,10059,4629,9775,9188  \n",
       "4                                  56904,55114,6455,51100  \n",
       "5                                  3071,26999,23191,10787  \n",
       "6                                          8218,8301,1213  \n",
       "7                                              2932,23607  \n",
       "8                                                     801  \n",
       "9                                                     682  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List of affected interactions (domain and motifs binding)\n",
    "events.get_edges()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### NEASE enrichment\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NEASE enrichment for the pathway databases:\n",
      " ['KEGG']\n",
      "Found 10 enriched pathways after multiple testing correction.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pathway ID</th>\n",
       "      <th>Pathway name</th>\n",
       "      <th>Source</th>\n",
       "      <th>Spliced genes (number of interactions affecting the pathway)</th>\n",
       "      <th>p_value</th>\n",
       "      <th>adj p_value</th>\n",
       "      <th>Nease score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>path:hsa04721</td>\n",
       "      <td>Synaptic vesicle cycle - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP6V0A1 (7), CLTA (2), CLTB (2)</td>\n",
       "      <td>1.494631e-16</td>\n",
       "      <td>4.797767e-14</td>\n",
       "      <td>27.410511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>path:hsa04142</td>\n",
       "      <td>Lysosome - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP6V0A1 (3), CLTA (2), CLTB (2)</td>\n",
       "      <td>2.060571e-10</td>\n",
       "      <td>2.204811e-08</td>\n",
       "      <td>16.776666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>path:hsa04966</td>\n",
       "      <td>Collecting duct acid secretion - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP6V0A1 (7)</td>\n",
       "      <td>1.651039e-13</td>\n",
       "      <td>2.649917e-11</td>\n",
       "      <td>12.782243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>path:hsa05323</td>\n",
       "      <td>Rheumatoid arthritis - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP6V0A1 (7)</td>\n",
       "      <td>1.890020e-09</td>\n",
       "      <td>1.516741e-07</td>\n",
       "      <td>8.723534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>path:hsa00190</td>\n",
       "      <td>Oxidative phosphorylation - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP6V0A1 (7)</td>\n",
       "      <td>4.365461e-09</td>\n",
       "      <td>2.802626e-07</td>\n",
       "      <td>8.359970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>path:hsa05110</td>\n",
       "      <td>Vibrio cholerae infection - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP6V0A1 (7)</td>\n",
       "      <td>1.761945e-08</td>\n",
       "      <td>9.426408e-07</td>\n",
       "      <td>7.754008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>path:hsa04145</td>\n",
       "      <td>Phagosome - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP6V0A1 (7)</td>\n",
       "      <td>2.419837e-06</td>\n",
       "      <td>1.109668e-04</td>\n",
       "      <td>5.616214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>path:hsa04961</td>\n",
       "      <td>Endocrine and other factor-regulated calcium reabsorption - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>CLTA (2), CLTB (2)</td>\n",
       "      <td>2.735117e-04</td>\n",
       "      <td>9.755251e-03</td>\n",
       "      <td>5.038877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>path:hsa05100</td>\n",
       "      <td>Bacterial invasion of epithelial cells - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>NRBP1 (1), CLTA (2), CLTB (2)</td>\n",
       "      <td>1.824754e-03</td>\n",
       "      <td>5.076835e-02</td>\n",
       "      <td>4.743733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>path:hsa04144</td>\n",
       "      <td>Endocytosis - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>SH3GLB1 (3), CLTA (2), CLTB (2)</td>\n",
       "      <td>1.897882e-03</td>\n",
       "      <td>5.076835e-02</td>\n",
       "      <td>4.714176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>path:hsa05120</td>\n",
       "      <td>Epithelial cell signaling in Helicobacter pylori infection - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP6V0A1 (7)</td>\n",
       "      <td>2.774118e-05</td>\n",
       "      <td>1.113115e-03</td>\n",
       "      <td>4.556875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>path:hsa05016</td>\n",
       "      <td>Huntington disease - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>CLTA (2), CLTB (3)</td>\n",
       "      <td>1.459790e-03</td>\n",
       "      <td>4.685926e-02</td>\n",
       "      <td>4.010299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>path:hsa03013</td>\n",
       "      <td>RNA transport - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>DNM1L (2), ABI2 (2)</td>\n",
       "      <td>1.446187e-02</td>\n",
       "      <td>3.315901e-01</td>\n",
       "      <td>2.601835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>path:hsa05165</td>\n",
       "      <td>Human papillomavirus infection - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP6V0A1 (7), NRBP1 (1)</td>\n",
       "      <td>1.127788e-02</td>\n",
       "      <td>2.784769e-01</td>\n",
       "      <td>1.947772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>path:hsa05152</td>\n",
       "      <td>Tuberculosis - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP6V0A1 (3), ATP2B1 (1)</td>\n",
       "      <td>4.392293e-02</td>\n",
       "      <td>9.399508e-01</td>\n",
       "      <td>1.919524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>path:hsa04120</td>\n",
       "      <td>Ubiquitin mediated proteolysis - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>HERC4 (5)</td>\n",
       "      <td>6.834518e-02</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>path:hsa04150</td>\n",
       "      <td>mTOR signaling pathway - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP6V0A1 (3), NRBP1 (1)</td>\n",
       "      <td>7.684930e-02</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>path:hsa04744</td>\n",
       "      <td>Phototransduction - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP2B1 (1)</td>\n",
       "      <td>1.210872e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>path:hsa04810</td>\n",
       "      <td>Regulation of actin cytoskeleton - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ABI2 (4)</td>\n",
       "      <td>1.260172e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>path:hsa05012</td>\n",
       "      <td>Parkinson disease - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>HERC4 (2)</td>\n",
       "      <td>1.286460e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>path:hsa04141</td>\n",
       "      <td>Protein processing in endoplasmic reticulum - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>HERC4 (3)</td>\n",
       "      <td>1.384425e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>path:hsa03015</td>\n",
       "      <td>mRNA surveillance pathway - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>DNM1L (2)</td>\n",
       "      <td>1.477100e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>path:hsa05010</td>\n",
       "      <td>Alzheimer disease - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP2B1 (1), NRBP1 (1)</td>\n",
       "      <td>1.682065e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>path:hsa04270</td>\n",
       "      <td>Vascular smooth muscle contraction - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP2B1 (1), DNM1L (1)</td>\n",
       "      <td>1.785103e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>path:hsa04740</td>\n",
       "      <td>Olfactory transduction - Homo sapiens (human)</td>\n",
       "      <td>KEGG</td>\n",
       "      <td>ATP2B1 (1)</td>\n",
       "      <td>2.291979e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Pathway ID  \\\n",
       "0   path:hsa04721   \n",
       "1   path:hsa04142   \n",
       "2   path:hsa04966   \n",
       "3   path:hsa05323   \n",
       "4   path:hsa00190   \n",
       "5   path:hsa05110   \n",
       "6   path:hsa04145   \n",
       "7   path:hsa04961   \n",
       "8   path:hsa05100   \n",
       "9   path:hsa04144   \n",
       "10  path:hsa05120   \n",
       "11  path:hsa05016   \n",
       "12  path:hsa03013   \n",
       "13  path:hsa05165   \n",
       "14  path:hsa05152   \n",
       "15  path:hsa04120   \n",
       "16  path:hsa04150   \n",
       "17  path:hsa04744   \n",
       "18  path:hsa04810   \n",
       "19  path:hsa05012   \n",
       "20  path:hsa04141   \n",
       "21  path:hsa03015   \n",
       "22  path:hsa05010   \n",
       "23  path:hsa04270   \n",
       "24  path:hsa04740   \n",
       "\n",
       "                                                                         Pathway name  \\\n",
       "0                                       Synaptic vesicle cycle - Homo sapiens (human)   \n",
       "1                                                     Lysosome - Homo sapiens (human)   \n",
       "2                               Collecting duct acid secretion - Homo sapiens (human)   \n",
       "3                                         Rheumatoid arthritis - Homo sapiens (human)   \n",
       "4                                    Oxidative phosphorylation - Homo sapiens (human)   \n",
       "5                                    Vibrio cholerae infection - Homo sapiens (human)   \n",
       "6                                                    Phagosome - Homo sapiens (human)   \n",
       "7    Endocrine and other factor-regulated calcium reabsorption - Homo sapiens (human)   \n",
       "8                       Bacterial invasion of epithelial cells - Homo sapiens (human)   \n",
       "9                                                  Endocytosis - Homo sapiens (human)   \n",
       "10  Epithelial cell signaling in Helicobacter pylori infection - Homo sapiens (human)   \n",
       "11                                          Huntington disease - Homo sapiens (human)   \n",
       "12                                               RNA transport - Homo sapiens (human)   \n",
       "13                              Human papillomavirus infection - Homo sapiens (human)   \n",
       "14                                                Tuberculosis - Homo sapiens (human)   \n",
       "15                              Ubiquitin mediated proteolysis - Homo sapiens (human)   \n",
       "16                                      mTOR signaling pathway - Homo sapiens (human)   \n",
       "17                                           Phototransduction - Homo sapiens (human)   \n",
       "18                            Regulation of actin cytoskeleton - Homo sapiens (human)   \n",
       "19                                           Parkinson disease - Homo sapiens (human)   \n",
       "20                 Protein processing in endoplasmic reticulum - Homo sapiens (human)   \n",
       "21                                   mRNA surveillance pathway - Homo sapiens (human)   \n",
       "22                                           Alzheimer disease - Homo sapiens (human)   \n",
       "23                          Vascular smooth muscle contraction - Homo sapiens (human)   \n",
       "24                                      Olfactory transduction - Homo sapiens (human)   \n",
       "\n",
       "   Source Spliced genes (number of interactions affecting the pathway)  \\\n",
       "0    KEGG                             ATP6V0A1 (7), CLTA (2), CLTB (2)   \n",
       "1    KEGG                             ATP6V0A1 (3), CLTA (2), CLTB (2)   \n",
       "2    KEGG                                                 ATP6V0A1 (7)   \n",
       "3    KEGG                                                 ATP6V0A1 (7)   \n",
       "4    KEGG                                                 ATP6V0A1 (7)   \n",
       "5    KEGG                                                 ATP6V0A1 (7)   \n",
       "6    KEGG                                                 ATP6V0A1 (7)   \n",
       "7    KEGG                                           CLTA (2), CLTB (2)   \n",
       "8    KEGG                                NRBP1 (1), CLTA (2), CLTB (2)   \n",
       "9    KEGG                              SH3GLB1 (3), CLTA (2), CLTB (2)   \n",
       "10   KEGG                                                 ATP6V0A1 (7)   \n",
       "11   KEGG                                           CLTA (2), CLTB (3)   \n",
       "12   KEGG                                          DNM1L (2), ABI2 (2)   \n",
       "13   KEGG                                      ATP6V0A1 (7), NRBP1 (1)   \n",
       "14   KEGG                                     ATP6V0A1 (3), ATP2B1 (1)   \n",
       "15   KEGG                                                    HERC4 (5)   \n",
       "16   KEGG                                      ATP6V0A1 (3), NRBP1 (1)   \n",
       "17   KEGG                                                   ATP2B1 (1)   \n",
       "18   KEGG                                                     ABI2 (4)   \n",
       "19   KEGG                                                    HERC4 (2)   \n",
       "20   KEGG                                                    HERC4 (3)   \n",
       "21   KEGG                                                    DNM1L (2)   \n",
       "22   KEGG                                        ATP2B1 (1), NRBP1 (1)   \n",
       "23   KEGG                                        ATP2B1 (1), DNM1L (1)   \n",
       "24   KEGG                                                   ATP2B1 (1)   \n",
       "\n",
       "         p_value   adj p_value  Nease score  \n",
       "0   1.494631e-16  4.797767e-14    27.410511  \n",
       "1   2.060571e-10  2.204811e-08    16.776666  \n",
       "2   1.651039e-13  2.649917e-11    12.782243  \n",
       "3   1.890020e-09  1.516741e-07     8.723534  \n",
       "4   4.365461e-09  2.802626e-07     8.359970  \n",
       "5   1.761945e-08  9.426408e-07     7.754008  \n",
       "6   2.419837e-06  1.109668e-04     5.616214  \n",
       "7   2.735117e-04  9.755251e-03     5.038877  \n",
       "8   1.824754e-03  5.076835e-02     4.743733  \n",
       "9   1.897882e-03  5.076835e-02     4.714176  \n",
       "10  2.774118e-05  1.113115e-03     4.556875  \n",
       "11  1.459790e-03  4.685926e-02     4.010299  \n",
       "12  1.446187e-02  3.315901e-01     2.601835  \n",
       "13  1.127788e-02  2.784769e-01     1.947772  \n",
       "14  4.392293e-02  9.399508e-01     1.919524  \n",
       "15  6.834518e-02  1.000000e+00     0.000000  \n",
       "16  7.684930e-02  1.000000e+00     0.000000  \n",
       "17  1.210872e-01  1.000000e+00     0.000000  \n",
       "18  1.260172e-01  1.000000e+00     0.000000  \n",
       "19  1.286460e-01  1.000000e+00     0.000000  \n",
       "20  1.384425e-01  1.000000e+00     0.000000  \n",
       "21  1.477100e-01  1.000000e+00     0.000000  \n",
       "22  1.682065e-01  1.000000e+00     0.000000  \n",
       "23  1.785103e-01  1.000000e+00     0.000000  \n",
       "24  2.291979e-01  1.000000e+00     0.000000  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nease_enr=events.enrich(database=['KEGG'])\n",
    "nease_enr.head(25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compare the classic gene enrichment with NEASE\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "Term = enr['Term'][:4]\n",
    "Pvalues =enr['Adjusted P-value'][:4]\n",
    "Pvalues=[ -np.log10(x) for x in Pvalues]\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "plt.barh(Term[::-1],Pvalues[::-1] )\n",
    "plt.title('Classic gene set enrichment')\n",
    "plt.ylabel('Terms')\n",
    "plt.xlabel('-log10(Adjusted P-value)')\n",
    "plt.savefig('AS data/VastDB/classic_enr_neural.pdf',format='pdf',bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nease_enr=nease_enr.sort_values(by='adj p_value')\n",
    "Term = nease_enr['Pathway name'][:4]\n",
    "Pvalues =nease_enr['adj p_value'][:4]\n",
    "Pvalues=[ -np.log10(x) for x in Pvalues]\n",
    "Term = [x.split('Homo')[0] for x in Term]\n",
    "\n",
    "plt.barh(Term[::-1],Pvalues[::-1] )\n",
    "plt.title('NEASE enrichment')\n",
    "plt.ylabel('Terms')\n",
    "plt.xlabel('-log10(Adjusted P-value)')\n",
    "plt.savefig('AS data/VastDB/nease_enr_neural.pdf',format='pdf',bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pathway specific analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enrichment of the pathway: Synaptic vesicle cycle - Homo sapiens (human).\n",
      "\n",
      "Overall p_value:  1.494631493736333e-16\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Spliced genes</th>\n",
       "      <th>NCBI gene ID</th>\n",
       "      <th>Gene is known to be in the pathway</th>\n",
       "      <th>Percentage of edges associated to the pathway</th>\n",
       "      <th>p_value</th>\n",
       "      <th>Affected binding (edges)</th>\n",
       "      <th>Affected binding (NCBI)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ATP6V0A1</td>\n",
       "      <td>535</td>\n",
       "      <td>True</td>\n",
       "      <td>7/7</td>\n",
       "      <td>5.853289e-17</td>\n",
       "      <td>ATP6V0A2,ATP6V0D2,ATP6V1E1,ATP6V0D1,ATP6V1D,ATP6V0E1,ATP6V1B1</td>\n",
       "      <td>23545,245972,529,9114,51382,8992,525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CLTA</td>\n",
       "      <td>1211</td>\n",
       "      <td>True</td>\n",
       "      <td>2/3</td>\n",
       "      <td>6.943483e-05</td>\n",
       "      <td>CLTCL1,CLTC</td>\n",
       "      <td>8218,1213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CLTB</td>\n",
       "      <td>1212</td>\n",
       "      <td>True</td>\n",
       "      <td>2/6</td>\n",
       "      <td>3.438502e-04</td>\n",
       "      <td>CLTCL1,CLTC</td>\n",
       "      <td>8218,1213</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Spliced genes NCBI gene ID  Gene is known to be in the pathway  \\\n",
       "0      ATP6V0A1          535                                True   \n",
       "1          CLTA         1211                                True   \n",
       "2          CLTB         1212                                True   \n",
       "\n",
       "  Percentage of edges associated to the pathway       p_value  \\\n",
       "0                                           7/7  5.853289e-17   \n",
       "1                                           2/3  6.943483e-05   \n",
       "2                                           2/6  3.438502e-04   \n",
       "\n",
       "                                        Affected binding (edges)  \\\n",
       "0  ATP6V0A2,ATP6V0D2,ATP6V1E1,ATP6V0D1,ATP6V1D,ATP6V0E1,ATP6V1B1   \n",
       "1                                                    CLTCL1,CLTC   \n",
       "2                                                    CLTCL1,CLTC   \n",
       "\n",
       "                Affected binding (NCBI)  \n",
       "0  23545,245972,529,9114,51382,8992,525  \n",
       "1                             8218,1213  \n",
       "2                             8218,1213  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "events.path_analysis('path:hsa04721')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualization\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enrichment of the pathway: Synaptic vesicle cycle - Homo sapiens (human).\n",
      "\n",
      "Overall p_value:  1.494631493736333e-16\n",
      "\n",
      "\n",
      "Visualization of the pathway generated in: AS data/Synaptic vesicle cycle - Homo sapiens (human).html\n"
     ]
    }
   ],
   "source": [
    "events.Vis_path('path:hsa04721',file='AS data/',k=0.8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Permutation analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "import sys, os\n",
    "from tqdm import tqdm\n",
    "# Disable\n",
    "def blockPrint():\n",
    "    sys.stdout = open(os.devnull, 'w')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "p_value_path= 1.494631493736333e-16\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  9%|▉         | 440/5000 [1:53:16<19:58:13, 15.77s/it]"
     ]
    }
   ],
   "source": [
    "numb_of_events=len(psi_filtred)\n",
    "\n",
    "path_of_interest='path:hsa04721'\n",
    "\n",
    "\n",
    "scores=[]\n",
    "p_values=[]\n",
    "for i in tqdm(range(5000)):\n",
    "    events_shuflled=psi_tissue.EVENT.unique()\n",
    "    random.shuffle(events_shuflled)\n",
    "    events_shuflled=events_shuflled[:numb_of_events]\n",
    "    event_rand=annot[annot.EVENT.isin(events_shuflled)]\n",
    "    event_rand['start']= event_rand['COORD_o'].apply(lambda x: x.split('-')[0].split(':')[1])\n",
    "    event_rand['end']= event_rand['COORD_o'].apply(lambda x: x.split('-')[1])\n",
    "    convert_help=nease.functions.database_mapping['Human'][['Gene name','Gene stable ID']]\n",
    "    input=pd.merge(event_rand,convert_help,left_on='GENE',right_on='Gene name')\n",
    "    input=input[['Gene stable ID','start','end']].drop_duplicates()\n",
    "    blockPrint()\n",
    "\n",
    "    events=nease.run(input, organism='Human')\n",
    "    nease_enr=events.enrich(database=['KEGG'])\n",
    "    scores.append(float(nease_enr[nease_enr['Pathway ID'] ==path_of_interest]['Nease score']))\n",
    "    p_values.append(float(nease_enr[nease_enr['Pathway ID'] ==path_of_interest]['p_value']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5000"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(p_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 21%|██        | 1038/5000 [3:48:24<13:56:54, 12.67s/it]"
     ]
    }
   ],
   "source": [
    "for i in tqdm(range(5000)):\n",
    "    events_shuflled=psi_tissue.EVENT.unique()\n",
    "    random.shuffle(events_shuflled)\n",
    "    events_shuflled=events_shuflled[:numb_of_events]\n",
    "    event_rand=annot[annot.EVENT.isin(events_shuflled)]\n",
    "    event_rand['start']= event_rand['COORD_o'].apply(lambda x: x.split('-')[0].split(':')[1])\n",
    "    event_rand['end']= event_rand['COORD_o'].apply(lambda x: x.split('-')[1])\n",
    "    convert_help=nease.functions.database_mapping['Human'][['Gene name','Gene stable ID']]\n",
    "    input=pd.merge(event_rand,convert_help,left_on='GENE',right_on='Gene name')\n",
    "    input=input[['Gene stable ID','start','end']].drop_duplicates()\n",
    "    blockPrint()\n",
    "\n",
    "    events=nease.run(input, organism='Human')\n",
    "    nease_enr=events.enrich(database=['KEGG'])\n",
    "    scores.append(float(nease_enr[nease_enr['Pathway ID'] ==path_of_interest]['Nease score']))\n",
    "    p_values.append(float(nease_enr[nease_enr['Pathway ID'] ==path_of_interest]['p_value']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0008"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len([x for x in p_values if x<=p_value_path])/len(p_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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