VastDB-analysis_Muscles.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import nease\n",
    "import pandas as pd\n",
    "from NEASE import nease\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\n",
    "import mygene\n"
   ]
  },
  {
   "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": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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": [
    "\n",
    "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": [],
   "source": [
    "for t in list(tissue.keys()):\n",
    "\n",
    "    psi[t]=psi[tissue[t]].mean(axis = 1, skipna = True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "psi_tissue=psi[['EVENT']+list(tissue.keys())]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "tissues=list(tissue.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "psi_tissue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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": 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",
       "      <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>-2.224799</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>-1.143772</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>-0.610151</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>-0.971784</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>-0.558574</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>0.145654</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>-0.663282</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>0.265763</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>0.511819</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>-1.432878</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 -2.224799  \n",
       "14475   0.991271   2.025788 -1.143772  \n",
       "14476   1.415446   0.951636 -0.610151  \n",
       "14510   8.251929  90.205091 -0.971784  \n",
       "14625   5.819746   3.730758 -0.558574  \n",
       "...          ...        ...       ...  \n",
       "50136   2.823207  95.978788  0.145654  \n",
       "50140   1.511539   1.944576 -0.663282  \n",
       "50141   2.081487  98.692818  0.265763  \n",
       "50145  12.949944  53.303970  0.511819  \n",
       "50194   1.564768   3.512121 -1.432878  \n",
       "\n",
       "[2828 rows x 15 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tissue_interest='Muscles'\n",
    "psi_tissue['Zscore']=(psi_tissue[tissue_interest] - psi_tissue['mean'])/psi_tissue['std']\n",
    "psi_tissue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "107"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "psi_filtred=psi_tissue[ psi_tissue['Zscore']>2]\n",
    "len(psi_filtred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "56"
      ]
     },
     "execution_count": 18,
     "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": 19,
   "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": 20,
   "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>ENSG00000009307</td>\n",
       "      <td>114741527</td>\n",
       "      <td>114741673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ENSG00000068305</td>\n",
       "      <td>99703362</td>\n",
       "      <td>99703385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ENSG00000073921</td>\n",
       "      <td>85960675</td>\n",
       "      <td>85960777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ENSG00000077549</td>\n",
       "      <td>19342752</td>\n",
       "      <td>19342864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ENSG00000079805</td>\n",
       "      <td>10803639</td>\n",
       "      <td>10803668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ENSG00000086598</td>\n",
       "      <td>123587611</td>\n",
       "      <td>123587631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ENSG00000089597</td>\n",
       "      <td>62634310</td>\n",
       "      <td>62634375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ENSG00000107862</td>\n",
       "      <td>102354370</td>\n",
       "      <td>102354468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ENSG00000114416</td>\n",
       "      <td>180971075</td>\n",
       "      <td>180971155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ENSG00000118418</td>\n",
       "      <td>79202094</td>\n",
       "      <td>79202155</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       ensembl.gene      start        end\n",
       "0   ENSG00000009307  114741527  114741673\n",
       "1   ENSG00000068305   99703362   99703385\n",
       "2   ENSG00000073921   85960675   85960777\n",
       "3   ENSG00000077549   19342752   19342864\n",
       "4   ENSG00000079805   10803639   10803668\n",
       "5   ENSG00000086598  123587611  123587631\n",
       "6   ENSG00000089597   62634310   62634375\n",
       "7   ENSG00000107862  102354370  102354468\n",
       "9   ENSG00000114416  180971075  180971155\n",
       "11  ENSG00000118418   79202094   79202155"
      ]
     },
     "execution_count": 20,
     "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": 21,
   "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",
      "12 protein domains are affected by AS.\n",
      "\n",
      "0 linear motifs are affected by AS.\n",
      "3 interacting resiude are affected by AS.\n",
      "\n",
      "8 of the affected domains/motifs have known interactions.\n",
      "60 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')\n"
   ]
  },
  {
   "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>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>Reactome_2016</td>\n",
       "      <td>trans-Golgi Network Vesicle Budding Homo sapiens R-HSA-199992</td>\n",
       "      <td>6/70</td>\n",
       "      <td>1.416003e-08</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45.477896</td>\n",
       "      <td>821.914871</td>\n",
       "      <td>GBF1;CLTC;AP3B1;SNX9;DNM2;PICALM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Clathrin derived vesicle budding Homo sapiens R-HSA-421837</td>\n",
       "      <td>6/70</td>\n",
       "      <td>1.416003e-08</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45.477896</td>\n",
       "      <td>821.914871</td>\n",
       "      <td>GBF1;CLTC;AP3B1;SNX9;DNM2;PICALM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Golgi Associated Vesicle Biogenesis Homo sapiens R-HSA-432722</td>\n",
       "      <td>5/54</td>\n",
       "      <td>1.670173e-07</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48.357629</td>\n",
       "      <td>754.628937</td>\n",
       "      <td>CLTC;AP3B1;SNX9;DNM2;PICALM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Membrane Trafficking Homo sapiens R-HSA-199991</td>\n",
       "      <td>9/420</td>\n",
       "      <td>4.900792e-07</td>\n",
       "      <td>0.000036</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.261237</td>\n",
       "      <td>163.611121</td>\n",
       "      <td>DCTN1;GBF1;CLTC;TMED2;AP3B1;MIA3;SNX9;DNM2;PICALM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Vesicle-mediated transport Homo sapiens R-HSA-5653656</td>\n",
       "      <td>9/492</td>\n",
       "      <td>1.819895e-06</td>\n",
       "      <td>0.000108</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.547238</td>\n",
       "      <td>126.183277</td>\n",
       "      <td>DCTN1;GBF1;CLTC;TMED2;AP3B1;MIA3;SNX9;DNM2;PICALM</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>292</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Hemostasis Homo sapiens R-HSA-109582</td>\n",
       "      <td>1/552</td>\n",
       "      <td>7.320542e-01</td>\n",
       "      <td>0.742048</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.765486</td>\n",
       "      <td>0.238756</td>\n",
       "      <td>CAPZB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Gene Expression Homo sapiens R-HSA-74160</td>\n",
       "      <td>3/1631</td>\n",
       "      <td>7.490357e-01</td>\n",
       "      <td>0.756679</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.767464</td>\n",
       "      <td>0.221773</td>\n",
       "      <td>RANBP2;RPN2;MAPKAP1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Signaling by GPCR Homo sapiens R-HSA-372790</td>\n",
       "      <td>2/1293</td>\n",
       "      <td>8.166740e-01</td>\n",
       "      <td>0.822211</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.642465</td>\n",
       "      <td>0.130109</td>\n",
       "      <td>ROCK2;CAMK2G</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Generic Transcription Pathway Homo sapiens R-HSA-212436</td>\n",
       "      <td>1/812</td>\n",
       "      <td>8.577686e-01</td>\n",
       "      <td>0.860666</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.513108</td>\n",
       "      <td>0.078721</td>\n",
       "      <td>MAPKAP1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>GPCR downstream signaling Homo sapiens R-HSA-388396</td>\n",
       "      <td>1/983</td>\n",
       "      <td>9.066626e-01</td>\n",
       "      <td>0.906663</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.419973</td>\n",
       "      <td>0.041151</td>\n",
       "      <td>ROCK2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>297 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Gene_set  \\\n",
       "0    Reactome_2016   \n",
       "1    Reactome_2016   \n",
       "2    Reactome_2016   \n",
       "3    Reactome_2016   \n",
       "4    Reactome_2016   \n",
       "..             ...   \n",
       "292  Reactome_2016   \n",
       "293  Reactome_2016   \n",
       "294  Reactome_2016   \n",
       "295  Reactome_2016   \n",
       "296  Reactome_2016   \n",
       "\n",
       "                                                              Term Overlap  \\\n",
       "0    trans-Golgi Network Vesicle Budding Homo sapiens R-HSA-199992    6/70   \n",
       "1       Clathrin derived vesicle budding Homo sapiens R-HSA-421837    6/70   \n",
       "2    Golgi Associated Vesicle Biogenesis Homo sapiens R-HSA-432722    5/54   \n",
       "3                   Membrane Trafficking Homo sapiens R-HSA-199991   9/420   \n",
       "4            Vesicle-mediated transport Homo sapiens R-HSA-5653656   9/492   \n",
       "..                                                             ...     ...   \n",
       "292                           Hemostasis Homo sapiens R-HSA-109582   1/552   \n",
       "293                       Gene Expression Homo sapiens R-HSA-74160  3/1631   \n",
       "294                    Signaling by GPCR Homo sapiens R-HSA-372790  2/1293   \n",
       "295        Generic Transcription Pathway Homo sapiens R-HSA-212436   1/812   \n",
       "296            GPCR downstream signaling Homo sapiens R-HSA-388396   1/983   \n",
       "\n",
       "          P-value  Adjusted P-value  Old P-value  Old Adjusted P-value  \\\n",
       "0    1.416003e-08          0.000002            0                     0   \n",
       "1    1.416003e-08          0.000002            0                     0   \n",
       "2    1.670173e-07          0.000017            0                     0   \n",
       "3    4.900792e-07          0.000036            0                     0   \n",
       "4    1.819895e-06          0.000108            0                     0   \n",
       "..            ...               ...          ...                   ...   \n",
       "292  7.320542e-01          0.742048            0                     0   \n",
       "293  7.490357e-01          0.756679            0                     0   \n",
       "294  8.166740e-01          0.822211            0                     0   \n",
       "295  8.577686e-01          0.860666            0                     0   \n",
       "296  9.066626e-01          0.906663            0                     0   \n",
       "\n",
       "     Odds Ratio  Combined Score  \\\n",
       "0     45.477896      821.914871   \n",
       "1     45.477896      821.914871   \n",
       "2     48.357629      754.628937   \n",
       "3     11.261237      163.611121   \n",
       "4      9.547238      126.183277   \n",
       "..          ...             ...   \n",
       "292    0.765486        0.238756   \n",
       "293    0.767464        0.221773   \n",
       "294    0.642465        0.130109   \n",
       "295    0.513108        0.078721   \n",
       "296    0.419973        0.041151   \n",
       "\n",
       "                                                 Genes  \n",
       "0                     GBF1;CLTC;AP3B1;SNX9;DNM2;PICALM  \n",
       "1                     GBF1;CLTC;AP3B1;SNX9;DNM2;PICALM  \n",
       "2                          CLTC;AP3B1;SNX9;DNM2;PICALM  \n",
       "3    DCTN1;GBF1;CLTC;TMED2;AP3B1;MIA3;SNX9;DNM2;PICALM  \n",
       "4    DCTN1;GBF1;CLTC;TMED2;AP3B1;MIA3;SNX9;DNM2;PICALM  \n",
       "..                                                 ...  \n",
       "292                                              CAPZB  \n",
       "293                                RANBP2;RPN2;MAPKAP1  \n",
       "294                                       ROCK2;CAMK2G  \n",
       "295                                            MAPKAP1  \n",
       "296                                              ROCK2  \n",
       "\n",
       "[297 rows x 10 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Run GENE-LEVEL enrichment on Reactome gene set\n",
    "enr=events.classic_enrich(gseapy_databases=['Reactome_2016'])\n",
    "enr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### NEASE analysis\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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": 24,
   "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>DNM2</td>\n",
       "      <td>1785</td>\n",
       "      <td>ENSG00000079805</td>\n",
       "      <td>ENSE00002760163</td>\n",
       "      <td>PF01031</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00002760163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TMED2</td>\n",
       "      <td>10959</td>\n",
       "      <td>ENSG00000086598</td>\n",
       "      <td>ENSE00002313457</td>\n",
       "      <td>PF01105</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00002313457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HMGN3</td>\n",
       "      <td>9324</td>\n",
       "      <td>ENSG00000118418</td>\n",
       "      <td>ENSE00003723579</td>\n",
       "      <td>PF01101</td>\n",
       "      <td>-</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MACF1</td>\n",
       "      <td>23499</td>\n",
       "      <td>ENSG00000127603</td>\n",
       "      <td>ENSE00001458939</td>\n",
       "      <td>PF02187</td>\n",
       "      <td>-</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MACF1</td>\n",
       "      <td>643314</td>\n",
       "      <td>ENSG00000127603</td>\n",
       "      <td>ENSE00001458939</td>\n",
       "      <td>PF02187</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>TPM1</td>\n",
       "      <td>7168</td>\n",
       "      <td>ENSG00000140416</td>\n",
       "      <td>ENSE00001141183</td>\n",
       "      <td>PF00261</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001141183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>DST</td>\n",
       "      <td>667</td>\n",
       "      <td>ENSG00000151914</td>\n",
       "      <td>ENSE00001453630</td>\n",
       "      <td>PF02187</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001453630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>PDLIM5</td>\n",
       "      <td>10611</td>\n",
       "      <td>ENSG00000163110</td>\n",
       "      <td>ENSE00002434903</td>\n",
       "      <td>PF15936</td>\n",
       "      <td>-</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>LIMS1</td>\n",
       "      <td>3987</td>\n",
       "      <td>ENSG00000169756</td>\n",
       "      <td>ENSE00001956759</td>\n",
       "      <td>PF00412</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001956759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ASB8</td>\n",
       "      <td>140461</td>\n",
       "      <td>ENSG00000177981</td>\n",
       "      <td>ENSE00002235416</td>\n",
       "      <td>PF00023</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00002235416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>IMPDH2</td>\n",
       "      <td>3615</td>\n",
       "      <td>ENSG00000178035</td>\n",
       "      <td>ENSE00001709779</td>\n",
       "      <td>PF00478</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001709779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>CFLAR</td>\n",
       "      <td>8837</td>\n",
       "      <td>ENSG00000003402</td>\n",
       "      <td>ENSE00001630714</td>\n",
       "      <td>PF00656</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001630714</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       DNM2         1785  ENSG00000079805  ENSE00002760163  PF01031    -   \n",
       "1      TMED2        10959  ENSG00000086598  ENSE00002313457  PF01105    -   \n",
       "2      HMGN3         9324  ENSG00000118418  ENSE00003723579  PF01101    -   \n",
       "3      MACF1        23499  ENSG00000127603  ENSE00001458939  PF02187    -   \n",
       "4      MACF1       643314  ENSG00000127603  ENSE00001458939  PF02187    -   \n",
       "5       TPM1         7168  ENSG00000140416  ENSE00001141183  PF00261    -   \n",
       "6        DST          667  ENSG00000151914  ENSE00001453630  PF02187    -   \n",
       "7     PDLIM5        10611  ENSG00000163110  ENSE00002434903  PF15936    -   \n",
       "8      LIMS1         3987  ENSG00000169756  ENSE00001956759  PF00412    -   \n",
       "9       ASB8       140461  ENSG00000177981  ENSE00002235416  PF00023    -   \n",
       "10    IMPDH2         3615  ENSG00000178035  ENSE00001709779  PF00478    -   \n",
       "11     CFLAR         8837  ENSG00000003402  ENSE00001630714  PF00656    -   \n",
       "\n",
       "    Interacting domain Interaction type  \\\n",
       "0                 True              DDI   \n",
       "1                 True              DDI   \n",
       "2                False             None   \n",
       "3                False             None   \n",
       "4                False             None   \n",
       "5                 True              DDI   \n",
       "6                 True              DDI   \n",
       "7                False             None   \n",
       "8                 True              DDI   \n",
       "9                 True              DDI   \n",
       "10                True              DDI   \n",
       "11                True              DDI   \n",
       "\n",
       "                                         Visualization link  \n",
       "0   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00002760163  \n",
       "1   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00002313457  \n",
       "2                                                            \n",
       "3                                                            \n",
       "4                                                            \n",
       "5   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001141183  \n",
       "6   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001453630  \n",
       "7                                                            \n",
       "8   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001956759  \n",
       "9   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00002235416  \n",
       "10  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001709779  \n",
       "11  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001630714  "
      ]
     },
     "execution_count": 24,
     "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": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No known linear motif are affected by AS\n"
     ]
    }
   ],
   "source": [
    "# get the affected linear motifs\n",
    "events.get_elm()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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",
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       "    }\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>CFLAR</td>\n",
       "      <td>8837</td>\n",
       "      <td>ENSG00000003402</td>\n",
       "      <td>CASP8</td>\n",
       "      <td>841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DCTN1</td>\n",
       "      <td>1639</td>\n",
       "      <td>ENSG00000204843</td>\n",
       "      <td>DCTN1</td>\n",
       "      <td>1639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CAPZB</td>\n",
       "      <td>832</td>\n",
       "      <td>ENSG00000077549</td>\n",
       "      <td>ACTR1A,CAPZA1</td>\n",
       "      <td>10121,829</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     CFLAR         8837  ENSG00000003402                           CASP8   \n",
       "1     DCTN1         1639  ENSG00000204843                           DCTN1   \n",
       "2     CAPZB          832  ENSG00000077549                   ACTR1A,CAPZA1   \n",
       "\n",
       "  Co-resolved interactions  \n",
       "0                      841  \n",
       "1                     1639  \n",
       "2                10121,829  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get interacting residues affected by AS\n",
    "events.get_pdb()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</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>TPM1</td>\n",
       "      <td>7168</td>\n",
       "      <td>PF00261</td>\n",
       "      <td>-</td>\n",
       "      <td>18</td>\n",
       "      <td>MYO18A,TPM4,TPM3,ACTA2,MYO19,TNNI1,MYH1,TPM1,MYH9,TNNT2,TNNT1,MYH8,MYH2,TPM2,ACTC1,MYH6,MYH4,MYH7B</td>\n",
       "      <td>399687,7171,7170,59,80179,7135,4619,7168,4627,7139,7138,4626,4620,7169,70,4624,4622,57644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DNM2</td>\n",
       "      <td>1785</td>\n",
       "      <td>PF01031</td>\n",
       "      <td>-</td>\n",
       "      <td>9</td>\n",
       "      <td>H2AC4,CDK9,TIAM2,DNM1,DDX39B,DNM3,DNM2,PLEKHA4,PLK1</td>\n",
       "      <td>8335,1025,26230,1759,7919,26052,1785,57664,5347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TMED2</td>\n",
       "      <td>10959</td>\n",
       "      <td>PF01105</td>\n",
       "      <td>-</td>\n",
       "      <td>8</td>\n",
       "      <td>TMED4,TMED5,TMED7,TMED10,TMED1,EIF3I,TMED3,TMED9</td>\n",
       "      <td>222068,50999,51014,10972,8668,54732,23423,11018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LIMS1</td>\n",
       "      <td>3987</td>\n",
       "      <td>PF00412</td>\n",
       "      <td>-</td>\n",
       "      <td>8</td>\n",
       "      <td>LPXN,BMP2K,PXN,EHMT2,STK11,DAPK1,TRIP6,ILK</td>\n",
       "      <td>9404,55589,5829,10919,6794,1612,7205,3611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CFLAR</td>\n",
       "      <td>8837</td>\n",
       "      <td>PF00656</td>\n",
       "      <td>-</td>\n",
       "      <td>7</td>\n",
       "      <td>NOD1,CFLAR,CASP8,CASP3,RIPK2,CASP10,NOL3</td>\n",
       "      <td>10392,8837,841,836,8767,843,8996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>IMPDH2</td>\n",
       "      <td>3615</td>\n",
       "      <td>PF00478</td>\n",
       "      <td>-</td>\n",
       "      <td>4</td>\n",
       "      <td>U2AF2,IMPDH2,EIF4B,IMPDH1</td>\n",
       "      <td>1975,11338,3615,3614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ASB8</td>\n",
       "      <td>140461</td>\n",
       "      <td>PF00023</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>TUBB3,HIF1AN</td>\n",
       "      <td>10381,55662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>DST</td>\n",
       "      <td>667</td>\n",
       "      <td>PF02187</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>CALM1</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Gene name NCBI gene ID Identifier dPSI  Number of affected interactions  \\\n",
       "0      TPM1         7168    PF00261    -                               18   \n",
       "1      DNM2         1785    PF01031    -                                9   \n",
       "2     TMED2        10959    PF01105    -                                8   \n",
       "3     LIMS1         3987    PF00412    -                                8   \n",
       "4     CFLAR         8837    PF00656    -                                7   \n",
       "5    IMPDH2         3615    PF00478    -                                4   \n",
       "6      ASB8       140461    PF00023    -                                2   \n",
       "7       DST          667    PF02187    -                                1   \n",
       "\n",
       "                                                                                     Affected binding  \\\n",
       "0  MYO18A,TPM4,TPM3,ACTA2,MYO19,TNNI1,MYH1,TPM1,MYH9,TNNT2,TNNT1,MYH8,MYH2,TPM2,ACTC1,MYH6,MYH4,MYH7B   \n",
       "1                                                 H2AC4,CDK9,TIAM2,DNM1,DDX39B,DNM3,DNM2,PLEKHA4,PLK1   \n",
       "2                                                    TMED4,TMED5,TMED7,TMED10,TMED1,EIF3I,TMED3,TMED9   \n",
       "3                                                          LPXN,BMP2K,PXN,EHMT2,STK11,DAPK1,TRIP6,ILK   \n",
       "4                                                            NOD1,CFLAR,CASP8,CASP3,RIPK2,CASP10,NOL3   \n",
       "5                                                                           U2AF2,IMPDH2,EIF4B,IMPDH1   \n",
       "6                                                                                        TUBB3,HIF1AN   \n",
       "7                                                                                               CALM1   \n",
       "\n",
       "                                                                     Affected binding (NCBI)  \n",
       "0  399687,7171,7170,59,80179,7135,4619,7168,4627,7139,7138,4626,4620,7169,70,4624,4622,57644  \n",
       "1                                            8335,1025,26230,1759,7919,26052,1785,57664,5347  \n",
       "2                                            222068,50999,51014,10972,8668,54732,23423,11018  \n",
       "3                                                  9404,55589,5829,10919,6794,1612,7205,3611  \n",
       "4                                                           10392,8837,841,836,8767,843,8996  \n",
       "5                                                                       1975,11338,3615,3614  \n",
       "6                                                                                10381,55662  \n",
       "7                                                                                        801  "
      ]
     },
     "execution_count": 27,
     "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": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NEASE enrichment for the pathway databases:\n",
      " ['Reactome']\n",
      "Found 10 enriched pathways after multiple testing correction.\n",
      "\n"
     ]
    },
    {
     "data": {
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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>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>R-HSA-397014</td>\n",
       "      <td>Muscle contraction</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>TPM1 (10), DST (1), LIMS1 (1)</td>\n",
       "      <td>3.593384e-12</td>\n",
       "      <td>3.259199e-09</td>\n",
       "      <td>16.184962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>R-HSA-390522</td>\n",
       "      <td>Striated Muscle Contraction</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>TPM1 (9)</td>\n",
       "      <td>1.614209e-14</td>\n",
       "      <td>2.928175e-11</td>\n",
       "      <td>13.792040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>R-HSA-445355</td>\n",
       "      <td>Smooth Muscle Contraction</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>TPM1 (5), DST (1), LIMS1 (1)</td>\n",
       "      <td>1.171448e-08</td>\n",
       "      <td>7.083356e-06</td>\n",
       "      <td>13.737375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R-HSA-6807878</td>\n",
       "      <td>COPI-mediated anterograde transport</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>TMED2 (4), DCTN1 (1), CAPZB (2)</td>\n",
       "      <td>6.168036e-07</td>\n",
       "      <td>2.797204e-04</td>\n",
       "      <td>10.755781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>R-HSA-8856688</td>\n",
       "      <td>Golgi-to-ER retrograde transport</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>TMED2 (4), DCTN1 (1), CAPZB (2)</td>\n",
       "      <td>1.964247e-06</td>\n",
       "      <td>7.126289e-04</td>\n",
       "      <td>9.884474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>R-HSA-199977</td>\n",
       "      <td>ER to Golgi Anterograde Transport</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>TMED2 (4), DCTN1 (1), CAPZB (2)</td>\n",
       "      <td>4.886651e-06</td>\n",
       "      <td>1.400468e-03</td>\n",
       "      <td>9.198902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>R-HSA-948021</td>\n",
       "      <td>Transport to the Golgi and subsequent modification</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>TMED2 (4), DCTN1 (1), CAPZB (2)</td>\n",
       "      <td>5.404230e-06</td>\n",
       "      <td>1.400468e-03</td>\n",
       "      <td>9.123173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>R-HSA-6811442</td>\n",
       "      <td>Intra-Golgi and retrograde Golgi-to-ER traffic</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>TMED2 (4), DCTN1 (1), CAPZB (2)</td>\n",
       "      <td>9.984056e-06</td>\n",
       "      <td>2.263885e-03</td>\n",
       "      <td>8.661454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>R-HSA-446203</td>\n",
       "      <td>Asparagine N-linked glycosylation</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>TMED2 (4), DCTN1 (1), CAPZB (2)</td>\n",
       "      <td>4.376216e-04</td>\n",
       "      <td>6.518526e-02</td>\n",
       "      <td>5.817788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>R-HSA-5357769</td>\n",
       "      <td>Caspase activation via extrinsic apoptotic signalling pathway</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>LIMS1 (1), CFLAR (3)</td>\n",
       "      <td>1.331676e-04</td>\n",
       "      <td>2.415661e-02</td>\n",
       "      <td>5.480928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>R-HSA-199991</td>\n",
       "      <td>Membrane Trafficking</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>DNM2 (3), TMED2 (4), DST (1), DCTN1 (1), CAPZB (2)</td>\n",
       "      <td>2.734077e-03</td>\n",
       "      <td>2.479808e-01</td>\n",
       "      <td>4.439574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>R-HSA-6811436</td>\n",
       "      <td>COPI-independent Golgi-to-ER retrograde traffic</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>DCTN1 (1), CAPZB (2)</td>\n",
       "      <td>8.502834e-04</td>\n",
       "      <td>1.028276e-01</td>\n",
       "      <td>4.342253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>R-HSA-5653656</td>\n",
       "      <td>Vesicle-mediated transport</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>DNM2 (3), TMED2 (4), DST (1), DCTN1 (1), CAPZB (2)</td>\n",
       "      <td>3.979480e-03</td>\n",
       "      <td>3.281262e-01</td>\n",
       "      <td>4.157223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>R-HSA-75158</td>\n",
       "      <td>TRAIL  signaling</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>CFLAR (3)</td>\n",
       "      <td>7.035628e-05</td>\n",
       "      <td>1.418070e-02</td>\n",
       "      <td>4.152697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>R-HSA-73817</td>\n",
       "      <td>Purine ribonucleoside monophosphate biosynthesis</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>IMPDH2 (2)</td>\n",
       "      <td>3.182933e-04</td>\n",
       "      <td>5.248946e-02</td>\n",
       "      <td>3.497173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>R-HSA-8956320</td>\n",
       "      <td>Nucleobase biosynthesis</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>IMPDH2 (2)</td>\n",
       "      <td>4.671490e-04</td>\n",
       "      <td>6.518526e-02</td>\n",
       "      <td>3.330545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>R-HSA-418889</td>\n",
       "      <td>Ligand-independent caspase activation via DCC</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>LIMS1 (1), CFLAR (1)</td>\n",
       "      <td>4.916241e-03</td>\n",
       "      <td>3.735254e-01</td>\n",
       "      <td>3.264524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>R-HSA-6811434</td>\n",
       "      <td>COPI-dependent Golgi-to-ER retrograde traffic</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>TMED2 (4)</td>\n",
       "      <td>7.040271e-04</td>\n",
       "      <td>9.122180e-02</td>\n",
       "      <td>3.152411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>R-HSA-177504</td>\n",
       "      <td>Retrograde neurotrophin signalling</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>DNM2 (3)</td>\n",
       "      <td>1.373346e-03</td>\n",
       "      <td>1.557031e-01</td>\n",
       "      <td>2.862220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>R-HSA-446343</td>\n",
       "      <td>Localization of the PINCH-ILK-PARVIN complex to focal adhesions</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>LIMS1 (2)</td>\n",
       "      <td>1.732479e-03</td>\n",
       "      <td>1.848657e-01</td>\n",
       "      <td>2.761332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>R-HSA-75157</td>\n",
       "      <td>FasL/ CD95L signaling</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>CFLAR (2)</td>\n",
       "      <td>1.875007e-03</td>\n",
       "      <td>1.889590e-01</td>\n",
       "      <td>2.726997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>R-HSA-2132295</td>\n",
       "      <td>MHC class II antigen presentation</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>DNM2 (3)</td>\n",
       "      <td>2.697041e-03</td>\n",
       "      <td>2.479808e-01</td>\n",
       "      <td>2.569112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>R-HSA-196025</td>\n",
       "      <td>Formation of annular gap junctions</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>DNM2 (2)</td>\n",
       "      <td>3.474597e-03</td>\n",
       "      <td>3.001390e-01</td>\n",
       "      <td>2.459096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>R-HSA-190873</td>\n",
       "      <td>Gap junction degradation</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>DNM2 (2)</td>\n",
       "      <td>5.008276e-03</td>\n",
       "      <td>3.735254e-01</td>\n",
       "      <td>2.300312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>R-HSA-190828</td>\n",
       "      <td>Gap junction trafficking</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>DNM2 (2)</td>\n",
       "      <td>5.147814e-03</td>\n",
       "      <td>3.735254e-01</td>\n",
       "      <td>2.288377</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Pathway ID  \\\n",
       "0    R-HSA-397014   \n",
       "1    R-HSA-390522   \n",
       "2    R-HSA-445355   \n",
       "3   R-HSA-6807878   \n",
       "4   R-HSA-8856688   \n",
       "5    R-HSA-199977   \n",
       "6    R-HSA-948021   \n",
       "7   R-HSA-6811442   \n",
       "8    R-HSA-446203   \n",
       "9   R-HSA-5357769   \n",
       "10   R-HSA-199991   \n",
       "11  R-HSA-6811436   \n",
       "12  R-HSA-5653656   \n",
       "13    R-HSA-75158   \n",
       "14    R-HSA-73817   \n",
       "15  R-HSA-8956320   \n",
       "16   R-HSA-418889   \n",
       "17  R-HSA-6811434   \n",
       "18   R-HSA-177504   \n",
       "19   R-HSA-446343   \n",
       "20    R-HSA-75157   \n",
       "21  R-HSA-2132295   \n",
       "22   R-HSA-196025   \n",
       "23   R-HSA-190873   \n",
       "24   R-HSA-190828   \n",
       "\n",
       "                                                       Pathway name    Source  \\\n",
       "0                                                Muscle contraction  Reactome   \n",
       "1                                       Striated Muscle Contraction  Reactome   \n",
       "2                                         Smooth Muscle Contraction  Reactome   \n",
       "3                               COPI-mediated anterograde transport  Reactome   \n",
       "4                                  Golgi-to-ER retrograde transport  Reactome   \n",
       "5                                 ER to Golgi Anterograde Transport  Reactome   \n",
       "6                Transport to the Golgi and subsequent modification  Reactome   \n",
       "7                    Intra-Golgi and retrograde Golgi-to-ER traffic  Reactome   \n",
       "8                                 Asparagine N-linked glycosylation  Reactome   \n",
       "9     Caspase activation via extrinsic apoptotic signalling pathway  Reactome   \n",
       "10                                             Membrane Trafficking  Reactome   \n",
       "11                  COPI-independent Golgi-to-ER retrograde traffic  Reactome   \n",
       "12                                       Vesicle-mediated transport  Reactome   \n",
       "13                                                 TRAIL  signaling  Reactome   \n",
       "14                 Purine ribonucleoside monophosphate biosynthesis  Reactome   \n",
       "15                                          Nucleobase biosynthesis  Reactome   \n",
       "16                    Ligand-independent caspase activation via DCC  Reactome   \n",
       "17                    COPI-dependent Golgi-to-ER retrograde traffic  Reactome   \n",
       "18                               Retrograde neurotrophin signalling  Reactome   \n",
       "19  Localization of the PINCH-ILK-PARVIN complex to focal adhesions  Reactome   \n",
       "20                                            FasL/ CD95L signaling  Reactome   \n",
       "21                                MHC class II antigen presentation  Reactome   \n",
       "22                               Formation of annular gap junctions  Reactome   \n",
       "23                                         Gap junction degradation  Reactome   \n",
       "24                                         Gap junction trafficking  Reactome   \n",
       "\n",
       "   Spliced genes (number of interactions affecting the pathway)       p_value  \\\n",
       "0                                 TPM1 (10), DST (1), LIMS1 (1)  3.593384e-12   \n",
       "1                                                      TPM1 (9)  1.614209e-14   \n",
       "2                                  TPM1 (5), DST (1), LIMS1 (1)  1.171448e-08   \n",
       "3                               TMED2 (4), DCTN1 (1), CAPZB (2)  6.168036e-07   \n",
       "4                               TMED2 (4), DCTN1 (1), CAPZB (2)  1.964247e-06   \n",
       "5                               TMED2 (4), DCTN1 (1), CAPZB (2)  4.886651e-06   \n",
       "6                               TMED2 (4), DCTN1 (1), CAPZB (2)  5.404230e-06   \n",
       "7                               TMED2 (4), DCTN1 (1), CAPZB (2)  9.984056e-06   \n",
       "8                               TMED2 (4), DCTN1 (1), CAPZB (2)  4.376216e-04   \n",
       "9                                          LIMS1 (1), CFLAR (3)  1.331676e-04   \n",
       "10           DNM2 (3), TMED2 (4), DST (1), DCTN1 (1), CAPZB (2)  2.734077e-03   \n",
       "11                                         DCTN1 (1), CAPZB (2)  8.502834e-04   \n",
       "12           DNM2 (3), TMED2 (4), DST (1), DCTN1 (1), CAPZB (2)  3.979480e-03   \n",
       "13                                                    CFLAR (3)  7.035628e-05   \n",
       "14                                                   IMPDH2 (2)  3.182933e-04   \n",
       "15                                                   IMPDH2 (2)  4.671490e-04   \n",
       "16                                         LIMS1 (1), CFLAR (1)  4.916241e-03   \n",
       "17                                                    TMED2 (4)  7.040271e-04   \n",
       "18                                                     DNM2 (3)  1.373346e-03   \n",
       "19                                                    LIMS1 (2)  1.732479e-03   \n",
       "20                                                    CFLAR (2)  1.875007e-03   \n",
       "21                                                     DNM2 (3)  2.697041e-03   \n",
       "22                                                     DNM2 (2)  3.474597e-03   \n",
       "23                                                     DNM2 (2)  5.008276e-03   \n",
       "24                                                     DNM2 (2)  5.147814e-03   \n",
       "\n",
       "     adj p_value  Nease score  \n",
       "0   3.259199e-09    16.184962  \n",
       "1   2.928175e-11    13.792040  \n",
       "2   7.083356e-06    13.737375  \n",
       "3   2.797204e-04    10.755781  \n",
       "4   7.126289e-04     9.884474  \n",
       "5   1.400468e-03     9.198902  \n",
       "6   1.400468e-03     9.123173  \n",
       "7   2.263885e-03     8.661454  \n",
       "8   6.518526e-02     5.817788  \n",
       "9   2.415661e-02     5.480928  \n",
       "10  2.479808e-01     4.439574  \n",
       "11  1.028276e-01     4.342253  \n",
       "12  3.281262e-01     4.157223  \n",
       "13  1.418070e-02     4.152697  \n",
       "14  5.248946e-02     3.497173  \n",
       "15  6.518526e-02     3.330545  \n",
       "16  3.735254e-01     3.264524  \n",
       "17  9.122180e-02     3.152411  \n",
       "18  1.557031e-01     2.862220  \n",
       "19  1.848657e-01     2.761332  \n",
       "20  1.889590e-01     2.726997  \n",
       "21  2.479808e-01     2.569112  \n",
       "22  3.001390e-01     2.459096  \n",
       "23  3.735254e-01     2.300312  \n",
       "24  3.735254e-01     2.288377  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nease_enr=events.enrich(database=['Reactome'])\n",
    "nease_enr.head(25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compare the classic gene enrichment with NEASE\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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",
    "Term = [x.split('Homo')[0] for x in Term]\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_muscle.pdf',format='pdf',bbox_inches='tight')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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",
    "\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_muscle.pdf',format='pdf',bbox_inches='tight')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pathway specific analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enrichment of the pathway: Muscle contraction.\n",
      "\n",
      "Overall p_value:  3.593383586793358e-12\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>TPM1</td>\n",
       "      <td>7168</td>\n",
       "      <td>True</td>\n",
       "      <td>10/18</td>\n",
       "      <td>1.350635e-15</td>\n",
       "      <td>TPM4,TPM3,ACTA2,TNNI1,TPM1,TNNT2,TNNT1,MYH8,TPM2,MYH6</td>\n",
       "      <td>7171,7170,59,7135,7168,7139,7138,4626,7169,4624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DST</td>\n",
       "      <td>667</td>\n",
       "      <td>False</td>\n",
       "      <td>1/1</td>\n",
       "      <td>1.132232e-02</td>\n",
       "      <td>CALM1</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LIMS1</td>\n",
       "      <td>3987</td>\n",
       "      <td>False</td>\n",
       "      <td>1/8</td>\n",
       "      <td>8.707168e-02</td>\n",
       "      <td>PXN</td>\n",
       "      <td>5829</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          TPM1         7168                                True   \n",
       "1           DST          667                               False   \n",
       "2         LIMS1         3987                               False   \n",
       "\n",
       "  Percentage of edges associated to the pathway       p_value  \\\n",
       "0                                         10/18  1.350635e-15   \n",
       "1                                           1/1  1.132232e-02   \n",
       "2                                           1/8  8.707168e-02   \n",
       "\n",
       "                                Affected binding (edges)  \\\n",
       "0  TPM4,TPM3,ACTA2,TNNI1,TPM1,TNNT2,TNNT1,MYH8,TPM2,MYH6   \n",
       "1                                                  CALM1   \n",
       "2                                                    PXN   \n",
       "\n",
       "                           Affected binding (NCBI)  \n",
       "0  7171,7170,59,7135,7168,7139,7138,4626,7169,4624  \n",
       "1                                              801  \n",
       "2                                             5829  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "events.path_analysis('R-HSA-397014')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enrichment of the pathway: Smooth Muscle Contraction.\n",
      "\n",
      "Overall p_value:  1.1714480964783916e-08\n",
      "\n",
      "\n",
      "Visualization of the pathway generated in: AS data/VastDB/Smooth Muscle Contraction.html\n"
     ]
    }
   ],
   "source": [
    "events.Vis_path('R-HSA-445355',file='AS data/VastDB/')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Permutation analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys, os\n",
    "from tqdm import tqdm\n",
    "# Disable\n",
    "def blockPrint():\n",
    "    sys.stdout = open(os.devnull, 'w')\n",
    "    \n",
    "    # Restore\n",
    "def enablePrint():\n",
    "    sys.stdout = sys.__stdout__\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "p_value_path=3.593383586793358e-12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "56"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numb_of_events=len(psi_filtred)\n",
    "numb_of_events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  7%|▋         | 340/5000 [1:28:40<20:01:32, 15.47s/it]"
     ]
    }
   ],
   "source": [
    "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=['Reactome'])\n",
    "    scores.append(float(nease_enr[nease_enr['Pathway ID'] =='R-HSA-397014']['Nease score']))\n",
    "    p_values.append(float(nease_enr[nease_enr['Pathway ID'] =='R-HSA-397014']['p_value']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5000"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 21%|██        | 1062/5000 [3:48:00<13:31:08, 12.36s/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=['Reactome'])\n",
    "    scores.append(float(nease_enr[nease_enr['Pathway ID'] =='R-HSA-397014']['Nease score']))\n",
    "    p_values.append(float(nease_enr[nease_enr['Pathway ID'] =='R-HSA-397014']['p_value']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0001"
      ]
     },
     "execution_count": 57,
     "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": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0001"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1/len(p_values)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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