Platelet_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "94b20cf3-be2b-4306-9010-9b94bea2d492",
   "metadata": {},
   "outputs": [],
   "source": [
    "from NEASE import nease\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "276955e4-c2f8-4ec3-8515-84b8d324f477",
   "metadata": {},
   "source": [
    "### Input of NEASE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c3b24f77-2272-4315-8d32-96ec137f8fa6",
   "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 ID</th>\n",
       "      <th>LSV ID</th>\n",
       "      <th>LSV Type</th>\n",
       "      <th>E(dPSI) per LSV junction</th>\n",
       "      <th>P(|dPSI|&gt;=0.20) per LSV junction</th>\n",
       "      <th>P(|dPSI|&lt;=0.05) per LSV junction</th>\n",
       "      <th>RP E(PSI)</th>\n",
       "      <th>MP E(PSI)</th>\n",
       "      <th>A5SS</th>\n",
       "      <th>A3SS</th>\n",
       "      <th>ES</th>\n",
       "      <th>Num. Junctions</th>\n",
       "      <th>Num. Exons</th>\n",
       "      <th>Junctions coords</th>\n",
       "      <th>IR coords</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>gene:ENSG00000114541</td>\n",
       "      <td>gene:ENSG00000114541:s:69216263-69216349</td>\n",
       "      <td>s|1e1.1o1|1e2.1o1</td>\n",
       "      <td>-0.005782585546726535;0.005782614800287916</td>\n",
       "      <td>9.131576598358074e-08;9.137648207446503e-08</td>\n",
       "      <td>0.0014495511204322131;0.0014494803303662547</td>\n",
       "      <td>0.129;0.871</td>\n",
       "      <td>0.118;0.882</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>69203663-69216263;69198774-69216263</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>gene:ENSG00000013016</td>\n",
       "      <td>gene:ENSG00000013016:t:31249371-31249468</td>\n",
       "      <td>t|1e1.1o1|1e2.1o1</td>\n",
       "      <td>-1.0409200397050978e-06;1.0409449796065466e-06</td>\n",
       "      <td>2.161478452922632e-17;5.7633005667787e-21</td>\n",
       "      <td>0.33219023968248607;0.38387259150734654</td>\n",
       "      <td>0.989;0.011</td>\n",
       "      <td>0.997;0.003</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>31244450-31249371;31247600-31249371</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>gene:ENSG00000163249</td>\n",
       "      <td>gene:ENSG00000163249:t:207737411-207737446</td>\n",
       "      <td>t|1e1.1o1|1e2.1o1</td>\n",
       "      <td>-0.006480923483079155;0.006480959095261932</td>\n",
       "      <td>7.146387919964888e-21;1.1103874466436185e-16</td>\n",
       "      <td>0.007480946095522967;0.0074801906689989</td>\n",
       "      <td>0.077;0.923</td>\n",
       "      <td>0.057;0.943</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>207726876-207737411;207734047-207737411</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>gene:ENSG00000175768</td>\n",
       "      <td>gene:ENSG00000175768:s:37592253-37592604</td>\n",
       "      <td>s|1e1.1o1|2e1.1o1|3e1.1o1|4e1.1o1</td>\n",
       "      <td>5.0463835495277774e-05;-5.904803237012686e-05;1.652412460086734e-05;4.883323744520894e-08</td>\n",
       "      <td>3.4130326357216425e-15;5.778230516273508e-21;5.7668534394596114e-21;5.763076690348758e-21</td>\n",
       "      <td>0.3922110608923171;0.47500375739463974;0.3126653507651424;0.4795173035424664</td>\n",
       "      <td>0.974;0.024;0.001;0.001</td>\n",
       "      <td>0.986;0.001;0.011;0.001</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>37588932-37592412;37588932-37592310;37588932-37592291;37588932-37592253</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>gene:ENSG00000171314</td>\n",
       "      <td>gene:ENSG00000171314:s:97426191-97426446</td>\n",
       "      <td>s|1e1.1o1|1e2.1o1</td>\n",
       "      <td>4.724984506503472e-08;-4.723727326833177e-08</td>\n",
       "      <td>5.763080448213274e-21;5.7630784096046076e-21</td>\n",
       "      <td>0.479667324307433;0.46310685173120447</td>\n",
       "      <td>0.000;1.000</td>\n",
       "      <td>0.002;0.998</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>97426446-97427101;97426446-97430379</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>gene:ENSG00000070081</td>\n",
       "      <td>gene:ENSG00000070081:t:17337348-17337534</td>\n",
       "      <td>t|1e1.1o2|1e2.2o2|1e3.1o1</td>\n",
       "      <td>-1.4839999072041732e-07;-0.035078352364741286;0.037720949966424555</td>\n",
       "      <td>5.763302677270467e-21;3.776108853996125e-06;5.60355759993587e-06</td>\n",
       "      <td>0.3796385258587732;0.001549123232391536;0.0013406243550228008</td>\n",
       "      <td>0.002;0.071;0.927</td>\n",
       "      <td>0.002;0.002;0.996</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>17330983-17337348;17334480-17337348;17337083-17337348</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>gene:ENSG00000156642</td>\n",
       "      <td>gene:ENSG00000156642:t:73591636-73592137</td>\n",
       "      <td>t|1e1.1o1|1e2.1o1|2e3.1o1</td>\n",
       "      <td>1.5128644572790744e-06;-2.630621068413839e-07;7.771559807339239e-16</td>\n",
       "      <td>5.763417672044591e-21;5.7631380231416315e-21;5.763072138872256e-21</td>\n",
       "      <td>0.475146975780804;0.4758444014231338;0.9999999984380891</td>\n",
       "      <td>0.970;0.028;0.001</td>\n",
       "      <td>0.986;0.012;0.002</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>73592137-73633125;73592137-73597022;73592069-73633125</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>gene:ENSG00000161911</td>\n",
       "      <td>gene:ENSG00000161911:s:41150819-41150907</td>\n",
       "      <td>s|1e1.1o1|1e2.1o1</td>\n",
       "      <td>-0.05734912848878308;0.05734912889360104</td>\n",
       "      <td>0.010621172501803064;0.010621173632136029</td>\n",
       "      <td>0.00016518971012491335;0.00016517468688905098</td>\n",
       "      <td>0.358;0.642</td>\n",
       "      <td>0.274;0.726</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>41150313-41150819;41149918-41150819</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>gene:ENSG00000124164</td>\n",
       "      <td>gene:ENSG00000124164:t:58434602-58434705</td>\n",
       "      <td>t|1e1.1o1|1e2.1o1</td>\n",
       "      <td>-0.0015125388535255117;0.0015125458359988829</td>\n",
       "      <td>9.615180636165624e-09;9.41502720231469e-09</td>\n",
       "      <td>0.012035152551162942;0.012034076718232346</td>\n",
       "      <td>0.999;0.001</td>\n",
       "      <td>0.973;0.027</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>58418363-58434602;58432416-58434602</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>gene:ENSG00000176261</td>\n",
       "      <td>gene:ENSG00000176261:t:32633951-32634110</td>\n",
       "      <td>t|1e1.1o3|1e1.3o3|1e2.1o2|1e2.2o2|2e3.2o3|2e4.1o2|2e4.2o2</td>\n",
       "      <td>-0.0035510075011086816;-0.014161488820529144;0.12375973296675297;-0.0012751712488021686;-9.313197791306263e-11;-0.022835413884216206;-0.009522066851940745</td>\n",
       "      <td>1.0530855212983533e-10;9.39968337602077e-21;0.09807546993960292;6.165729416343333e-21;5.763072128406005e-21;0.00020986762155967992;5.654678899262811e-06</td>\n",
       "      <td>0.004475544488970695;0.04599860912884557;5.588251358895945e-05;0.35853428549474475;0.9054120524728562;0.0004564742616615103;0.0011360765182913957</td>\n",
       "      <td>0.076;0.053;0.253;0.034;0.001;0.309;0.275</td>\n",
       "      <td>0.061;0.000;0.387;0.028;0.000;0.269;0.254</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>32634110-32650433;32634110-32650402;32634110-32634768;32634110-32634702;32634072-32650429;32634072-32634768;32634072-32634702</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Gene ID                                      LSV ID  \\\n",
       "0  gene:ENSG00000114541    gene:ENSG00000114541:s:69216263-69216349   \n",
       "1  gene:ENSG00000013016    gene:ENSG00000013016:t:31249371-31249468   \n",
       "2  gene:ENSG00000163249  gene:ENSG00000163249:t:207737411-207737446   \n",
       "3  gene:ENSG00000175768    gene:ENSG00000175768:s:37592253-37592604   \n",
       "4  gene:ENSG00000171314    gene:ENSG00000171314:s:97426191-97426446   \n",
       "5  gene:ENSG00000070081    gene:ENSG00000070081:t:17337348-17337534   \n",
       "6  gene:ENSG00000156642    gene:ENSG00000156642:t:73591636-73592137   \n",
       "7  gene:ENSG00000161911    gene:ENSG00000161911:s:41150819-41150907   \n",
       "8  gene:ENSG00000124164    gene:ENSG00000124164:t:58434602-58434705   \n",
       "9  gene:ENSG00000176261    gene:ENSG00000176261:t:32633951-32634110   \n",
       "\n",
       "                                                    LSV Type  \\\n",
       "0                                          s|1e1.1o1|1e2.1o1   \n",
       "1                                          t|1e1.1o1|1e2.1o1   \n",
       "2                                          t|1e1.1o1|1e2.1o1   \n",
       "3                          s|1e1.1o1|2e1.1o1|3e1.1o1|4e1.1o1   \n",
       "4                                          s|1e1.1o1|1e2.1o1   \n",
       "5                                  t|1e1.1o2|1e2.2o2|1e3.1o1   \n",
       "6                                  t|1e1.1o1|1e2.1o1|2e3.1o1   \n",
       "7                                          s|1e1.1o1|1e2.1o1   \n",
       "8                                          t|1e1.1o1|1e2.1o1   \n",
       "9  t|1e1.1o3|1e1.3o3|1e2.1o2|1e2.2o2|2e3.2o3|2e4.1o2|2e4.2o2   \n",
       "\n",
       "                                                                                                                                     E(dPSI) per LSV junction  \\\n",
       "0                                                                                                                  -0.005782585546726535;0.005782614800287916   \n",
       "1                                                                                                              -1.0409200397050978e-06;1.0409449796065466e-06   \n",
       "2                                                                                                                  -0.006480923483079155;0.006480959095261932   \n",
       "3                                                                   5.0463835495277774e-05;-5.904803237012686e-05;1.652412460086734e-05;4.883323744520894e-08   \n",
       "4                                                                                                                4.724984506503472e-08;-4.723727326833177e-08   \n",
       "5                                                                                          -1.4839999072041732e-07;-0.035078352364741286;0.037720949966424555   \n",
       "6                                                                                         1.5128644572790744e-06;-2.630621068413839e-07;7.771559807339239e-16   \n",
       "7                                                                                                                    -0.05734912848878308;0.05734912889360104   \n",
       "8                                                                                                                -0.0015125388535255117;0.0015125458359988829   \n",
       "9  -0.0035510075011086816;-0.014161488820529144;0.12375973296675297;-0.0012751712488021686;-9.313197791306263e-11;-0.022835413884216206;-0.009522066851940745   \n",
       "\n",
       "                                                                                                                           P(|dPSI|>=0.20) per LSV junction  \\\n",
       "0                                                                                                               9.131576598358074e-08;9.137648207446503e-08   \n",
       "1                                                                                                                 2.161478452922632e-17;5.7633005667787e-21   \n",
       "2                                                                                                              7.146387919964888e-21;1.1103874466436185e-16   \n",
       "3                                                                 3.4130326357216425e-15;5.778230516273508e-21;5.7668534394596114e-21;5.763076690348758e-21   \n",
       "4                                                                                                              5.763080448213274e-21;5.7630784096046076e-21   \n",
       "5                                                                                          5.763302677270467e-21;3.776108853996125e-06;5.60355759993587e-06   \n",
       "6                                                                                        5.763417672044591e-21;5.7631380231416315e-21;5.763072138872256e-21   \n",
       "7                                                                                                                 0.010621172501803064;0.010621173632136029   \n",
       "8                                                                                                                9.615180636165624e-09;9.41502720231469e-09   \n",
       "9  1.0530855212983533e-10;9.39968337602077e-21;0.09807546993960292;6.165729416343333e-21;5.763072128406005e-21;0.00020986762155967992;5.654678899262811e-06   \n",
       "\n",
       "                                                                                                                    P(|dPSI|<=0.05) per LSV junction  \\\n",
       "0                                                                                                        0.0014495511204322131;0.0014494803303662547   \n",
       "1                                                                                                            0.33219023968248607;0.38387259150734654   \n",
       "2                                                                                                            0.007480946095522967;0.0074801906689989   \n",
       "3                                                                       0.3922110608923171;0.47500375739463974;0.3126653507651424;0.4795173035424664   \n",
       "4                                                                                                              0.479667324307433;0.46310685173120447   \n",
       "5                                                                                      0.3796385258587732;0.001549123232391536;0.0013406243550228008   \n",
       "6                                                                                            0.475146975780804;0.4758444014231338;0.9999999984380891   \n",
       "7                                                                                                      0.00016518971012491335;0.00016517468688905098   \n",
       "8                                                                                                          0.012035152551162942;0.012034076718232346   \n",
       "9  0.004475544488970695;0.04599860912884557;5.588251358895945e-05;0.35853428549474475;0.9054120524728562;0.0004564742616615103;0.0011360765182913957   \n",
       "\n",
       "                                   RP E(PSI)  \\\n",
       "0                                0.129;0.871   \n",
       "1                                0.989;0.011   \n",
       "2                                0.077;0.923   \n",
       "3                    0.974;0.024;0.001;0.001   \n",
       "4                                0.000;1.000   \n",
       "5                          0.002;0.071;0.927   \n",
       "6                          0.970;0.028;0.001   \n",
       "7                                0.358;0.642   \n",
       "8                                0.999;0.001   \n",
       "9  0.076;0.053;0.253;0.034;0.001;0.309;0.275   \n",
       "\n",
       "                                   MP E(PSI)   A5SS   A3SS     ES  \\\n",
       "0                                0.118;0.882  False  False   True   \n",
       "1                                0.997;0.003  False  False   True   \n",
       "2                                0.057;0.943  False  False   True   \n",
       "3                    0.986;0.001;0.011;0.001   True  False  False   \n",
       "4                                0.002;0.998  False  False   True   \n",
       "5                          0.002;0.002;0.996  False  False   True   \n",
       "6                          0.986;0.012;0.002  False   True   True   \n",
       "7                                0.274;0.726  False  False   True   \n",
       "8                                0.973;0.027  False  False   True   \n",
       "9  0.061;0.000;0.387;0.028;0.000;0.269;0.254   True   True   True   \n",
       "\n",
       "   Num. Junctions  Num. Exons  \\\n",
       "0               2           3   \n",
       "1               2           3   \n",
       "2               2           3   \n",
       "3               4           2   \n",
       "4               2           3   \n",
       "5               3           4   \n",
       "6               3           4   \n",
       "7               2           3   \n",
       "8               2           3   \n",
       "9               7           5   \n",
       "\n",
       "                                                                                                                Junctions coords  \\\n",
       "0                                                                                            69203663-69216263;69198774-69216263   \n",
       "1                                                                                            31244450-31249371;31247600-31249371   \n",
       "2                                                                                        207726876-207737411;207734047-207737411   \n",
       "3                                                        37588932-37592412;37588932-37592310;37588932-37592291;37588932-37592253   \n",
       "4                                                                                            97426446-97427101;97426446-97430379   \n",
       "5                                                                          17330983-17337348;17334480-17337348;17337083-17337348   \n",
       "6                                                                          73592137-73633125;73592137-73597022;73592069-73633125   \n",
       "7                                                                                            41150313-41150819;41149918-41150819   \n",
       "8                                                                                            58418363-58434602;58432416-58434602   \n",
       "9  32634110-32650433;32634110-32650402;32634110-32634768;32634110-32634702;32634072-32650429;32634072-32634768;32634072-32634702   \n",
       "\n",
       "  IR coords  \n",
       "0       NaN  \n",
       "1       NaN  \n",
       "2       NaN  \n",
       "3       NaN  \n",
       "4       NaN  \n",
       "5       NaN  \n",
       "6       NaN  \n",
       "7       NaN  \n",
       "8       NaN  \n",
       "9       NaN  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# MAJIQ output from diff splicing analysis\n",
    "table=pd.read_table('AS data/Platelet/RP_MP.deltapsi.tsv')\n",
    "table.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ab93974-c829-4e31-9b7b-7b31d8ae15ef",
   "metadata": {},
   "source": [
    "### Run NEASE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e193a797-7564-405f-8eba-82bba2c256a7",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing MAJIQ format...\n",
      "MAJIQ output converted successfully to NEASE format.\n",
      "\n",
      "\t\tData Summary\n",
      "**************************************************\n",
      "25 protein domains are affected by AS.\n",
      "\n",
      "1 linear motifs are affected by AS.\n",
      "6 interacting resiude are affected by AS.\n",
      "\n",
      "17 of the affected domains/motifs have known interactions.\n",
      "199 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(table, organism='Human',input_type='MAJIQ')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98081550-8868-43de-91f3-5ace63685cf5",
   "metadata": {},
   "source": [
    "### Classic gene enrichment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "60561056-5400-428d-ad75-762deddd2425",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ARCHS4_Cell-lines',\n",
       " 'ARCHS4_IDG_Coexp',\n",
       " 'ARCHS4_Kinases_Coexp',\n",
       " 'ARCHS4_TFs_Coexp',\n",
       " 'ARCHS4_Tissues']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This is an enrichement at gene level: all (diff) spliced genes.\n",
    "# The function use the library gseapy and need gseapy_databases parameter \n",
    "# let first check what libraries are available on gseapy for Human\n",
    "\n",
    "import gseapy as gp\n",
    "Human = gp.get_library_name(database='Human')\n",
    "Human[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6c133125-aaf1-4597-aef8-905083fd73cc",
   "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>Membrane Trafficking Homo sapiens R-HSA-199991</td>\n",
       "      <td>13/420</td>\n",
       "      <td>0.000061</td>\n",
       "      <td>0.023331</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.977068</td>\n",
       "      <td>38.598171</td>\n",
       "      <td>ARF4;ARF1;VPS37A;ANK1;BICD1;TBC1D1;MAN2A1;KIF5B;UBC;RAB3GAP2;EXOC5;AP3S1;RAB6A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>RORA activates gene expression Homo sapiens R-HSA-1368082</td>\n",
       "      <td>4/27</td>\n",
       "      <td>0.000074</td>\n",
       "      <td>0.023331</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20.877997</td>\n",
       "      <td>198.528342</td>\n",
       "      <td>NCOA1;NCOA2;TBL1XR1;NRIP1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Circadian Clock Homo sapiens R-HSA-400253</td>\n",
       "      <td>5/63</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>0.038521</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.393713</td>\n",
       "      <td>88.945539</td>\n",
       "      <td>NCOA1;NCOA2;TBL1XR1;NRIP1;UBC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Vesicle-mediated transport Homo sapiens R-HSA-5653656</td>\n",
       "      <td>13/492</td>\n",
       "      <td>0.000290</td>\n",
       "      <td>0.038521</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.366736</td>\n",
       "      <td>27.418967</td>\n",
       "      <td>ARF4;ARF1;VPS37A;ANK1;BICD1;TBC1D1;MAN2A1;KIF5B;UBC;RAB3GAP2;EXOC5;AP3S1;RAB6A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Golgi-to-ER retrograde transport Homo sapiens R-HSA-8856688</td>\n",
       "      <td>6/110</td>\n",
       "      <td>0.000345</td>\n",
       "      <td>0.038521</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.982185</td>\n",
       "      <td>55.653094</td>\n",
       "      <td>ARF4;ARF1;KIF5B;RAB3GAP2;RAB6A;BICD1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>BMAL1:CLOCK,NPAS2 activates circadian gene expression Homo sapiens R-HSA-1368108</td>\n",
       "      <td>4/42</td>\n",
       "      <td>0.000429</td>\n",
       "      <td>0.038521</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12.627113</td>\n",
       "      <td>97.920296</td>\n",
       "      <td>NCOA1;NCOA2;TBL1XR1;NRIP1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Activation of gene expression by SREBF (SREBP) Homo sapiens R-HSA-2426168</td>\n",
       "      <td>4/42</td>\n",
       "      <td>0.000429</td>\n",
       "      <td>0.038521</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12.627113</td>\n",
       "      <td>97.920296</td>\n",
       "      <td>NCOA1;NCOA2;TBL1XR1;FDFT1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Pink/Parkin Mediated Mitophagy Homo sapiens R-HSA-5205685</td>\n",
       "      <td>3/22</td>\n",
       "      <td>0.000811</td>\n",
       "      <td>0.052538</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>18.844642</td>\n",
       "      <td>134.121043</td>\n",
       "      <td>UBC;ATG12;ATG5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Mitophagy Homo sapiens R-HSA-5205647</td>\n",
       "      <td>3/22</td>\n",
       "      <td>0.000811</td>\n",
       "      <td>0.052538</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>18.844642</td>\n",
       "      <td>134.121043</td>\n",
       "      <td>UBC;ATG12;ATG5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Reactome_2016</td>\n",
       "      <td>Intra-Golgi and retrograde Golgi-to-ER traffic Homo sapiens R-HSA-6811442</td>\n",
       "      <td>7/179</td>\n",
       "      <td>0.000835</td>\n",
       "      <td>0.052538</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.938738</td>\n",
       "      <td>35.004616</td>\n",
       "      <td>ARF4;ARF1;MAN2A1;KIF5B;RAB3GAP2;RAB6A;BICD1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\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",
       "5  Reactome_2016   \n",
       "6  Reactome_2016   \n",
       "7  Reactome_2016   \n",
       "8  Reactome_2016   \n",
       "9  Reactome_2016   \n",
       "\n",
       "                                                                               Term  \\\n",
       "0                                    Membrane Trafficking Homo sapiens R-HSA-199991   \n",
       "1                         RORA activates gene expression Homo sapiens R-HSA-1368082   \n",
       "2                                         Circadian Clock Homo sapiens R-HSA-400253   \n",
       "3                             Vesicle-mediated transport Homo sapiens R-HSA-5653656   \n",
       "4                       Golgi-to-ER retrograde transport Homo sapiens R-HSA-8856688   \n",
       "5  BMAL1:CLOCK,NPAS2 activates circadian gene expression Homo sapiens R-HSA-1368108   \n",
       "6         Activation of gene expression by SREBF (SREBP) Homo sapiens R-HSA-2426168   \n",
       "7                         Pink/Parkin Mediated Mitophagy Homo sapiens R-HSA-5205685   \n",
       "8                                              Mitophagy Homo sapiens R-HSA-5205647   \n",
       "9         Intra-Golgi and retrograde Golgi-to-ER traffic Homo sapiens R-HSA-6811442   \n",
       "\n",
       "  Overlap   P-value  Adjusted P-value  Old P-value  Old Adjusted P-value  \\\n",
       "0  13/420  0.000061          0.023331            0                     0   \n",
       "1    4/27  0.000074          0.023331            0                     0   \n",
       "2    5/63  0.000192          0.038521            0                     0   \n",
       "3  13/492  0.000290          0.038521            0                     0   \n",
       "4   6/110  0.000345          0.038521            0                     0   \n",
       "5    4/42  0.000429          0.038521            0                     0   \n",
       "6    4/42  0.000429          0.038521            0                     0   \n",
       "7    3/22  0.000811          0.052538            0                     0   \n",
       "8    3/22  0.000811          0.052538            0                     0   \n",
       "9   7/179  0.000835          0.052538            0                     0   \n",
       "\n",
       "   Odds Ratio  Combined Score  \\\n",
       "0    3.977068       38.598171   \n",
       "1   20.877997      198.528342   \n",
       "2   10.393713       88.945539   \n",
       "3    3.366736       27.418967   \n",
       "4    6.982185       55.653094   \n",
       "5   12.627113       97.920296   \n",
       "6   12.627113       97.920296   \n",
       "7   18.844642      134.121043   \n",
       "8   18.844642      134.121043   \n",
       "9    4.938738       35.004616   \n",
       "\n",
       "                                                                            Genes  \n",
       "0  ARF4;ARF1;VPS37A;ANK1;BICD1;TBC1D1;MAN2A1;KIF5B;UBC;RAB3GAP2;EXOC5;AP3S1;RAB6A  \n",
       "1                                                       NCOA1;NCOA2;TBL1XR1;NRIP1  \n",
       "2                                                   NCOA1;NCOA2;TBL1XR1;NRIP1;UBC  \n",
       "3  ARF4;ARF1;VPS37A;ANK1;BICD1;TBC1D1;MAN2A1;KIF5B;UBC;RAB3GAP2;EXOC5;AP3S1;RAB6A  \n",
       "4                                            ARF4;ARF1;KIF5B;RAB3GAP2;RAB6A;BICD1  \n",
       "5                                                       NCOA1;NCOA2;TBL1XR1;NRIP1  \n",
       "6                                                       NCOA1;NCOA2;TBL1XR1;FDFT1  \n",
       "7                                                                  UBC;ATG12;ATG5  \n",
       "8                                                                  UBC;ATG12;ATG5  \n",
       "9                                     ARF4;ARF1;MAN2A1;KIF5B;RAB3GAP2;RAB6A;BICD1  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Run on KEGG gene set\n",
    "enr=events.classic_enrich(gseapy_databases=['Reactome_2016'])\n",
    "enr.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b37b486-db0c-46a5-936d-3e33c421ffb0",
   "metadata": {},
   "source": [
    "### NEASE analysis\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3cfce87b-eed4-4d5e-b1bd-bf886a1dfd3f",
   "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/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d32f512c-c17f-4ee2-a550-ab4a3aab0cf6",
   "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>PPM1A</td>\n",
       "      <td>5494</td>\n",
       "      <td>ENSG00000100614</td>\n",
       "      <td>ENSE00003598557</td>\n",
       "      <td>PF00481</td>\n",
       "      <td>0.577477</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003598557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SCFD2</td>\n",
       "      <td>152579</td>\n",
       "      <td>ENSG00000184178</td>\n",
       "      <td>ENSE00001327240</td>\n",
       "      <td>PF00995</td>\n",
       "      <td>0.545700</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001327240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PTPN12</td>\n",
       "      <td>5782</td>\n",
       "      <td>ENSG00000127947</td>\n",
       "      <td>ENSE00003466075</td>\n",
       "      <td>PF00102</td>\n",
       "      <td>0.539035</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003466075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ERLEC1</td>\n",
       "      <td>27248</td>\n",
       "      <td>ENSG00000068912</td>\n",
       "      <td>ENSE00000752711</td>\n",
       "      <td>PF07915</td>\n",
       "      <td>0.515317</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GNAQ</td>\n",
       "      <td>2776</td>\n",
       "      <td>ENSG00000156052</td>\n",
       "      <td>ENSE00001274239</td>\n",
       "      <td>PF00503</td>\n",
       "      <td>0.457661</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001274239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>DYNC1LI1</td>\n",
       "      <td>51143</td>\n",
       "      <td>ENSG00000144635</td>\n",
       "      <td>ENSE00003565423</td>\n",
       "      <td>PF05783</td>\n",
       "      <td>0.457264</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003565423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>MYOM1</td>\n",
       "      <td>8736</td>\n",
       "      <td>ENSG00000101605</td>\n",
       "      <td>ENSE00001240567</td>\n",
       "      <td>PF00041</td>\n",
       "      <td>0.436869</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001240567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>GRK3</td>\n",
       "      <td>157</td>\n",
       "      <td>ENSG00000100077</td>\n",
       "      <td>ENSE00003677641</td>\n",
       "      <td>PF00615</td>\n",
       "      <td>0.434388</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003677641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>UBE2V2</td>\n",
       "      <td>7336</td>\n",
       "      <td>ENSG00000169139</td>\n",
       "      <td>ENSE00003509614</td>\n",
       "      <td>PF00179</td>\n",
       "      <td>0.427618</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI and DMI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003509614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CBR4</td>\n",
       "      <td>84869</td>\n",
       "      <td>ENSG00000145439</td>\n",
       "      <td>ENSE00002050409</td>\n",
       "      <td>PF00106</td>\n",
       "      <td>0.417737</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00002050409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CBR4</td>\n",
       "      <td>84869</td>\n",
       "      <td>ENSG00000145439</td>\n",
       "      <td>ENSE00003850805</td>\n",
       "      <td>PF13561</td>\n",
       "      <td>0.417737</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003850805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>SLAIN2</td>\n",
       "      <td>57606</td>\n",
       "      <td>ENSG00000109171</td>\n",
       "      <td>ENSE00000714290</td>\n",
       "      <td>PF15301</td>\n",
       "      <td>0.417111</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>TCEA1</td>\n",
       "      <td>6917</td>\n",
       "      <td>ENSG00000187735</td>\n",
       "      <td>ENSE00001426483</td>\n",
       "      <td>PF08711</td>\n",
       "      <td>0.415067</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>ARHGEF12</td>\n",
       "      <td>23365</td>\n",
       "      <td>ENSG00000196914</td>\n",
       "      <td>ENSE00003524599</td>\n",
       "      <td>PF17820</td>\n",
       "      <td>0.409407</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003524599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>ILRUN</td>\n",
       "      <td>64771</td>\n",
       "      <td>ENSG00000196821</td>\n",
       "      <td>ENSE00003685125</td>\n",
       "      <td>PF14555</td>\n",
       "      <td>0.395124</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ILRUN</td>\n",
       "      <td>64771</td>\n",
       "      <td>ENSG00000196821</td>\n",
       "      <td>ENSE00003685125</td>\n",
       "      <td>PF16158</td>\n",
       "      <td>0.395124</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>RAB3GAP2</td>\n",
       "      <td>25782</td>\n",
       "      <td>ENSG00000118873</td>\n",
       "      <td>ENSE00003546521</td>\n",
       "      <td>PF14655</td>\n",
       "      <td>0.381358</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>BICD1</td>\n",
       "      <td>636</td>\n",
       "      <td>ENSG00000151746</td>\n",
       "      <td>ENSE00001159017</td>\n",
       "      <td>PF09730</td>\n",
       "      <td>0.377515</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001159017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>PRKCA</td>\n",
       "      <td>5578</td>\n",
       "      <td>ENSG00000154229</td>\n",
       "      <td>ENSE00003647566</td>\n",
       "      <td>PF00130</td>\n",
       "      <td>0.370855</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003647566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ACER3</td>\n",
       "      <td>55331</td>\n",
       "      <td>ENSG00000078124</td>\n",
       "      <td>ENSE00003610620</td>\n",
       "      <td>PF05875</td>\n",
       "      <td>0.351853</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>UGP2</td>\n",
       "      <td>7360</td>\n",
       "      <td>ENSG00000169764</td>\n",
       "      <td>ENSE00003546033</td>\n",
       "      <td>PF01704</td>\n",
       "      <td>0.347152</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003546033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>LRRFIP2</td>\n",
       "      <td>9209</td>\n",
       "      <td>ENSG00000093167</td>\n",
       "      <td>ENSE00003784377</td>\n",
       "      <td>PF09738</td>\n",
       "      <td>0.327216</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ARF4</td>\n",
       "      <td>378</td>\n",
       "      <td>ENSG00000168374</td>\n",
       "      <td>ENSE00001818007</td>\n",
       "      <td>PF00025</td>\n",
       "      <td>0.320421</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001818007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>EFCAB2</td>\n",
       "      <td>84288</td>\n",
       "      <td>ENSG00000203666</td>\n",
       "      <td>ENSE00001441912</td>\n",
       "      <td>PF13499</td>\n",
       "      <td>0.313309</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001441912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>RAB6A</td>\n",
       "      <td>5870</td>\n",
       "      <td>ENSG00000175582</td>\n",
       "      <td>ENSE00003629629</td>\n",
       "      <td>PF00071</td>\n",
       "      <td>0.267053</td>\n",
       "      <td>True</td>\n",
       "      <td>DDI</td>\n",
       "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003629629</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gene name NCBI gene ID   Gene stable ID   Exon stable ID  Pfam ID  \\\n",
       "0      PPM1A         5494  ENSG00000100614  ENSE00003598557  PF00481   \n",
       "1      SCFD2       152579  ENSG00000184178  ENSE00001327240  PF00995   \n",
       "2     PTPN12         5782  ENSG00000127947  ENSE00003466075  PF00102   \n",
       "3     ERLEC1        27248  ENSG00000068912  ENSE00000752711  PF07915   \n",
       "4       GNAQ         2776  ENSG00000156052  ENSE00001274239  PF00503   \n",
       "5   DYNC1LI1        51143  ENSG00000144635  ENSE00003565423  PF05783   \n",
       "6      MYOM1         8736  ENSG00000101605  ENSE00001240567  PF00041   \n",
       "7       GRK3          157  ENSG00000100077  ENSE00003677641  PF00615   \n",
       "8     UBE2V2         7336  ENSG00000169139  ENSE00003509614  PF00179   \n",
       "9       CBR4        84869  ENSG00000145439  ENSE00002050409  PF00106   \n",
       "10      CBR4        84869  ENSG00000145439  ENSE00003850805  PF13561   \n",
       "11    SLAIN2        57606  ENSG00000109171  ENSE00000714290  PF15301   \n",
       "12     TCEA1         6917  ENSG00000187735  ENSE00001426483  PF08711   \n",
       "13  ARHGEF12        23365  ENSG00000196914  ENSE00003524599  PF17820   \n",
       "14     ILRUN        64771  ENSG00000196821  ENSE00003685125  PF14555   \n",
       "15     ILRUN        64771  ENSG00000196821  ENSE00003685125  PF16158   \n",
       "16  RAB3GAP2        25782  ENSG00000118873  ENSE00003546521  PF14655   \n",
       "17     BICD1          636  ENSG00000151746  ENSE00001159017  PF09730   \n",
       "18     PRKCA         5578  ENSG00000154229  ENSE00003647566  PF00130   \n",
       "19     ACER3        55331  ENSG00000078124  ENSE00003610620  PF05875   \n",
       "20      UGP2         7360  ENSG00000169764  ENSE00003546033  PF01704   \n",
       "21   LRRFIP2         9209  ENSG00000093167  ENSE00003784377  PF09738   \n",
       "22      ARF4          378  ENSG00000168374  ENSE00001818007  PF00025   \n",
       "23    EFCAB2        84288  ENSG00000203666  ENSE00001441912  PF13499   \n",
       "24     RAB6A         5870  ENSG00000175582  ENSE00003629629  PF00071   \n",
       "\n",
       "        dPSI  Interacting domain Interaction type  \\\n",
       "0   0.577477                True              DDI   \n",
       "1   0.545700                True              DDI   \n",
       "2   0.539035                True              DDI   \n",
       "3   0.515317               False             None   \n",
       "4   0.457661                True              DDI   \n",
       "5   0.457264                True              DDI   \n",
       "6   0.436869                True              DDI   \n",
       "7   0.434388                True              DDI   \n",
       "8   0.427618                True      DDI and DMI   \n",
       "9   0.417737                True              DDI   \n",
       "10  0.417737                True              DDI   \n",
       "11  0.417111               False             None   \n",
       "12  0.415067               False             None   \n",
       "13  0.409407                True              DDI   \n",
       "14  0.395124               False             None   \n",
       "15  0.395124               False             None   \n",
       "16  0.381358               False             None   \n",
       "17  0.377515                True              DDI   \n",
       "18  0.370855                True              DDI   \n",
       "19  0.351853               False             None   \n",
       "20  0.347152                True              DDI   \n",
       "21  0.327216               False             None   \n",
       "22  0.320421                True              DDI   \n",
       "23  0.313309                True              DDI   \n",
       "24  0.267053                True              DDI   \n",
       "\n",
       "                                         Visualization link  \n",
       "0   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003598557  \n",
       "1   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001327240  \n",
       "2   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003466075  \n",
       "3                                                            \n",
       "4   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001274239  \n",
       "5   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003565423  \n",
       "6   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001240567  \n",
       "7   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003677641  \n",
       "8   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003509614  \n",
       "9   https://exbio.wzw.tum.de/digger/ID/exon/ENSE00002050409  \n",
       "10  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003850805  \n",
       "11                                                           \n",
       "12                                                           \n",
       "13  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003524599  \n",
       "14                                                           \n",
       "15                                                           \n",
       "16                                                           \n",
       "17  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001159017  \n",
       "18  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003647566  \n",
       "19                                                           \n",
       "20  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003546033  \n",
       "21                                                           \n",
       "22  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001818007  \n",
       "23  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00001441912  \n",
       "24  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003629629  "
      ]
     },
     "execution_count": 7,
     "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": 8,
   "id": "167187e9-08bb-4216-834e-f40b0eb5eefa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene name</th>\n",
       "      <th>entrezgene</th>\n",
       "      <th>Gene stable ID</th>\n",
       "      <th>ELMIdentifier</th>\n",
       "      <th>dPSI</th>\n",
       "      <th>ELM link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PAWR</td>\n",
       "      <td>5074</td>\n",
       "      <td>ENSG00000177425</td>\n",
       "      <td>LIG_SPRY_1</td>\n",
       "      <td>0.395266</td>\n",
       "      <td>http://elm.eu.org/elms/LIG_SPRY_1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Gene name entrezgene   Gene stable ID ELMIdentifier      dPSI  \\\n",
       "0      PAWR       5074  ENSG00000177425    LIG_SPRY_1  0.395266   \n",
       "\n",
       "                            ELM link  \n",
       "0  http://elm.eu.org/elms/LIG_SPRY_1  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the affected linear motifs\n",
    "events.get_elm()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "42b1453d-3a48-4c29-98cb-456065b604a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene name</th>\n",
       "      <th>NCBI gene ID</th>\n",
       "      <th>Gene stable ID</th>\n",
       "      <th>Co-resolved interactions symbol</th>\n",
       "      <th>Co-resolved interactions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROCK2</td>\n",
       "      <td>9475</td>\n",
       "      <td>ENSG00000134318</td>\n",
       "      <td>ROCK2</td>\n",
       "      <td>9475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CBR4</td>\n",
       "      <td>84869</td>\n",
       "      <td>ENSG00000145439</td>\n",
       "      <td>HSD17B8</td>\n",
       "      <td>7923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>UGP2</td>\n",
       "      <td>7360</td>\n",
       "      <td>ENSG00000169764</td>\n",
       "      <td>UGP2</td>\n",
       "      <td>7360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>UBE2V2</td>\n",
       "      <td>7336</td>\n",
       "      <td>ENSG00000169139</td>\n",
       "      <td>RPS27A,UBB,UBA52,UBC</td>\n",
       "      <td>6233,7314,7311,7316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GNAQ</td>\n",
       "      <td>2776</td>\n",
       "      <td>ENSG00000156052</td>\n",
       "      <td>PLCB3,ARHGEF25</td>\n",
       "      <td>5331,115557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SSBP2</td>\n",
       "      <td>23635</td>\n",
       "      <td>ENSG00000145687</td>\n",
       "      <td>SSBP2,SSBP3,SSBP4</td>\n",
       "      <td>23635,23648,170463</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     ROCK2         9475  ENSG00000134318                           ROCK2   \n",
       "1      CBR4        84869  ENSG00000145439                         HSD17B8   \n",
       "2      UGP2         7360  ENSG00000169764                            UGP2   \n",
       "3    UBE2V2         7336  ENSG00000169139            RPS27A,UBB,UBA52,UBC   \n",
       "4      GNAQ         2776  ENSG00000156052                  PLCB3,ARHGEF25   \n",
       "5     SSBP2        23635  ENSG00000145687               SSBP2,SSBP3,SSBP4   \n",
       "\n",
       "  Co-resolved interactions  \n",
       "0                     9475  \n",
       "1                     7923  \n",
       "2                     7360  \n",
       "3      6233,7314,7311,7316  \n",
       "4              5331,115557  \n",
       "5       23635,23648,170463  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get interacting residues affected by AS\n",
    "events.get_pdb()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "904d05e3-529e-4e20-a1a0-7ea7c3bd6fbe",
   "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",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene name</th>\n",
       "      <th>NCBI gene ID</th>\n",
       "      <th>Identifier</th>\n",
       "      <th>dPSI</th>\n",
       "      <th>Number of affected interactions</th>\n",
       "      <th>Affected binding</th>\n",
       "      <th>Affected binding (NCBI)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>UBE2V2</td>\n",
       "      <td>7336</td>\n",
       "      <td>PF00179</td>\n",
       "      <td>0.427618</td>\n",
       "      <td>34</td>\n",
       "      <td>UBE2V1,OTUB1,MUL1,UBXN1,TRIM54,BIRC2,DZIP3,RC3H1,TRIM63,TP53,SHPRH,STUB1,UBE2L3,TRIM21,RFFL,HLTF,XIAP,MKRN3,RNF2,RNF8,TRAF2,UBE2M,RBCK1,ZNRF1,UBC,UBE2B,TRIM32,RAD23B,LNX1,RNF11,UBE2N,TRIM5,TPT1,RC3H2</td>\n",
       "      <td>55611,7335,79594,51035,57159,329,9666,149041,84676,7157,257218,10273,7332,6737,117584,6596,331,7681,6045,9025,7186,9040,10616,84937,7316,7320,22954,5887,84708,26994,7334,85363,7178,54542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GNAQ</td>\n",
       "      <td>2776</td>\n",
       "      <td>PF00503</td>\n",
       "      <td>0.457661</td>\n",
       "      <td>34</td>\n",
       "      <td>GNG3,RGS4,RGS2,GNB3,GNG4,GNB4,WDR36,S1PR1,PTGIR,GRK2,ARHGEF11,GNB1,CDK19,MRGPRX1,ARHGEF12,ARHGEF1,RGS16,VIPR1,AKAP13,CCR1,GNB2,S1PR2,F2R,PLCB1,RGS5,PLCB2,TBXA2R,RGS18,ATP4A,GNAS,UBQLN2,P2RY8,RGS7,LINC02210</td>\n",
       "      <td>2785,5999,5997,2784,2786,59345,134430,1394,1901,5739,156,9826,2782,23097,259249,23365,9138,6004,7433,11214,1230,2783,9294,2149,23236,8490,6915,64407,495,2778,29978,286530,6000,5330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PTPN12</td>\n",
       "      <td>5782</td>\n",
       "      <td>PF00102</td>\n",
       "      <td>0.539035</td>\n",
       "      <td>28</td>\n",
       "      <td>SHC1,ERBB3,MAPK1,NTRK1,TNS3,PTK7,NEDD9,FGFR2,AATK,PLCG1,JAK2,PTK2B,GRB2,PTPN6,ASAP1,ROR2,CSK,NCK2,SORBS2,KDR,IGF1R,NCK1,BCAR1,PACSIN2,ERBB4,EGFR,FGFR4,LMTK2</td>\n",
       "      <td>6464,2065,5594,4914,64759,5754,4739,2263,9625,5335,3717,2185,2885,5777,50807,4920,1445,8440,8470,3791,3480,4690,9564,11252,2066,1956,2264,22853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PRKCA</td>\n",
       "      <td>5578</td>\n",
       "      <td>PF00130</td>\n",
       "      <td>0.370855</td>\n",
       "      <td>23</td>\n",
       "      <td>NCF1,PRKCH,DLG4,CHUK,PRKCA,MAPK7,PRKCG,FGD4,NOXA1,PLA2G4A,GSK3B,IKBKB,AKAP13,PLD1,AFAP1,TIAM1,RALBP1,GSK3A,PLEKHA4,SMURF1,PLCG2,WWC1,PRKCB</td>\n",
       "      <td>653361,5583,1742,1147,5578,5598,5582,121512,10811,5321,2932,3551,11214,5337,60312,7074,10928,2931,57664,57154,5336,23286,5579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RAB6A</td>\n",
       "      <td>5870</td>\n",
       "      <td>PF00071</td>\n",
       "      <td>0.267053</td>\n",
       "      <td>22</td>\n",
       "      <td>ERC1,GDI1,KRAS,RAB11A,RAB1B,SYTL5,RAB1A,RAB6B,TGFBR2,RABGAP1,NRAS,NPHP1,ARF1,HRAS,PLEKHA4,RAB2A,OCRL,RAB7A,RAB11B,RAB9A,CHM,CHML</td>\n",
       "      <td>23085,2664,3845,8766,81876,94122,5861,51560,7048,23637,4893,4867,375,3265,57664,5862,4952,7879,9230,9367,1121,1122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>PPM1A</td>\n",
       "      <td>5494</td>\n",
       "      <td>PF00481</td>\n",
       "      <td>0.577477</td>\n",
       "      <td>15</td>\n",
       "      <td>PKN1,PPM1B,AKT1,PAK4,PRKAA1,PRKCA,CDC42BPA,PLK3,PAK1,PRKCI,CHEK1,MAP4K5,PAK2,CDC42BPB,MAPK9</td>\n",
       "      <td>5585,5495,207,10298,5562,5578,8476,1263,5058,5584,1111,11183,5062,9578,5601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ARF4</td>\n",
       "      <td>378</td>\n",
       "      <td>PF00025</td>\n",
       "      <td>0.320421</td>\n",
       "      <td>10</td>\n",
       "      <td>PLEKHA4,RAB11A,CDK9,NRAS,IDH1,ASB14,RAB9A,CDK2,ARF1,GRK5</td>\n",
       "      <td>57664,8766,1025,4893,3417,142686,9367,1017,375,2869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>PAWR</td>\n",
       "      <td>5074</td>\n",
       "      <td>LIG_SPRY_1</td>\n",
       "      <td>0.395266</td>\n",
       "      <td>5</td>\n",
       "      <td>TRIM21,FBXO45,SPSB2,SPSB4,SPSB1</td>\n",
       "      <td>200933,6737,80176,92369,84727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>GRK3</td>\n",
       "      <td>157</td>\n",
       "      <td>PF00615</td>\n",
       "      <td>0.434388</td>\n",
       "      <td>4</td>\n",
       "      <td>ADRB2,GRK2,CXCR4,CCR4</td>\n",
       "      <td>154,156,7852,1233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SCFD2</td>\n",
       "      <td>152579</td>\n",
       "      <td>PF00995</td>\n",
       "      <td>0.545700</td>\n",
       "      <td>3</td>\n",
       "      <td>SEC22B,STX12,VAMP4</td>\n",
       "      <td>9554,23673,8674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>ARHGEF12</td>\n",
       "      <td>23365</td>\n",
       "      <td>PF17820</td>\n",
       "      <td>0.409407</td>\n",
       "      <td>3</td>\n",
       "      <td>ARHGEF12,GIPC1,GIPC2</td>\n",
       "      <td>23365,54810,10755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>DYNC1LI1</td>\n",
       "      <td>51143</td>\n",
       "      <td>PF05783</td>\n",
       "      <td>0.457264</td>\n",
       "      <td>3</td>\n",
       "      <td>DYNC1H1,DYNC1LI1,DYNC1LI2</td>\n",
       "      <td>1778,51143,1783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>BICD1</td>\n",
       "      <td>636</td>\n",
       "      <td>PF09730</td>\n",
       "      <td>0.377515</td>\n",
       "      <td>2</td>\n",
       "      <td>BICD2,BICD1</td>\n",
       "      <td>23299,636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>CBR4</td>\n",
       "      <td>84869</td>\n",
       "      <td>PF00106</td>\n",
       "      <td>0.417737</td>\n",
       "      <td>1</td>\n",
       "      <td>HSD17B8</td>\n",
       "      <td>7923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>UGP2</td>\n",
       "      <td>7360</td>\n",
       "      <td>PF01704</td>\n",
       "      <td>0.347152</td>\n",
       "      <td>1</td>\n",
       "      <td>UGP2</td>\n",
       "      <td>7360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>MYOM1</td>\n",
       "      <td>8736</td>\n",
       "      <td>PF00041</td>\n",
       "      <td>0.436869</td>\n",
       "      <td>1</td>\n",
       "      <td>CLK1</td>\n",
       "      <td>1195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>EFCAB2</td>\n",
       "      <td>84288</td>\n",
       "      <td>PF13499</td>\n",
       "      <td>0.313309</td>\n",
       "      <td>1</td>\n",
       "      <td>IQCN</td>\n",
       "      <td>80726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>CBR4</td>\n",
       "      <td>84869</td>\n",
       "      <td>PF13561</td>\n",
       "      <td>0.417737</td>\n",
       "      <td>1</td>\n",
       "      <td>HSD17B8</td>\n",
       "      <td>7923</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gene name NCBI gene ID  Identifier      dPSI  \\\n",
       "0     UBE2V2         7336     PF00179  0.427618   \n",
       "1       GNAQ         2776     PF00503  0.457661   \n",
       "2     PTPN12         5782     PF00102  0.539035   \n",
       "3      PRKCA         5578     PF00130  0.370855   \n",
       "4      RAB6A         5870     PF00071  0.267053   \n",
       "5      PPM1A         5494     PF00481  0.577477   \n",
       "6       ARF4          378     PF00025  0.320421   \n",
       "7       PAWR         5074  LIG_SPRY_1  0.395266   \n",
       "8       GRK3          157     PF00615  0.434388   \n",
       "9      SCFD2       152579     PF00995  0.545700   \n",
       "10  ARHGEF12        23365     PF17820  0.409407   \n",
       "11  DYNC1LI1        51143     PF05783  0.457264   \n",
       "12     BICD1          636     PF09730  0.377515   \n",
       "13      CBR4        84869     PF00106  0.417737   \n",
       "14      UGP2         7360     PF01704  0.347152   \n",
       "15     MYOM1         8736     PF00041  0.436869   \n",
       "16    EFCAB2        84288     PF13499  0.313309   \n",
       "17      CBR4        84869     PF13561  0.417737   \n",
       "\n",
       "    Number of affected interactions  \\\n",
       "0                                34   \n",
       "1                                34   \n",
       "2                                28   \n",
       "3                                23   \n",
       "4                                22   \n",
       "5                                15   \n",
       "6                                10   \n",
       "7                                 5   \n",
       "8                                 4   \n",
       "9                                 3   \n",
       "10                                3   \n",
       "11                                3   \n",
       "12                                2   \n",
       "13                                1   \n",
       "14                                1   \n",
       "15                                1   \n",
       "16                                1   \n",
       "17                                1   \n",
       "\n",
       "                                                                                                                                                                                                 Affected binding  \\\n",
       "0         UBE2V1,OTUB1,MUL1,UBXN1,TRIM54,BIRC2,DZIP3,RC3H1,TRIM63,TP53,SHPRH,STUB1,UBE2L3,TRIM21,RFFL,HLTF,XIAP,MKRN3,RNF2,RNF8,TRAF2,UBE2M,RBCK1,ZNRF1,UBC,UBE2B,TRIM32,RAD23B,LNX1,RNF11,UBE2N,TRIM5,TPT1,RC3H2   \n",
       "1   GNG3,RGS4,RGS2,GNB3,GNG4,GNB4,WDR36,S1PR1,PTGIR,GRK2,ARHGEF11,GNB1,CDK19,MRGPRX1,ARHGEF12,ARHGEF1,RGS16,VIPR1,AKAP13,CCR1,GNB2,S1PR2,F2R,PLCB1,RGS5,PLCB2,TBXA2R,RGS18,ATP4A,GNAS,UBQLN2,P2RY8,RGS7,LINC02210   \n",
       "2                                                    SHC1,ERBB3,MAPK1,NTRK1,TNS3,PTK7,NEDD9,FGFR2,AATK,PLCG1,JAK2,PTK2B,GRB2,PTPN6,ASAP1,ROR2,CSK,NCK2,SORBS2,KDR,IGF1R,NCK1,BCAR1,PACSIN2,ERBB4,EGFR,FGFR4,LMTK2   \n",
       "3                                                                      NCF1,PRKCH,DLG4,CHUK,PRKCA,MAPK7,PRKCG,FGD4,NOXA1,PLA2G4A,GSK3B,IKBKB,AKAP13,PLD1,AFAP1,TIAM1,RALBP1,GSK3A,PLEKHA4,SMURF1,PLCG2,WWC1,PRKCB   \n",
       "4                                                                                ERC1,GDI1,KRAS,RAB11A,RAB1B,SYTL5,RAB1A,RAB6B,TGFBR2,RABGAP1,NRAS,NPHP1,ARF1,HRAS,PLEKHA4,RAB2A,OCRL,RAB7A,RAB11B,RAB9A,CHM,CHML   \n",
       "5                                                                                                                     PKN1,PPM1B,AKT1,PAK4,PRKAA1,PRKCA,CDC42BPA,PLK3,PAK1,PRKCI,CHEK1,MAP4K5,PAK2,CDC42BPB,MAPK9   \n",
       "6                                                                                                                                                        PLEKHA4,RAB11A,CDK9,NRAS,IDH1,ASB14,RAB9A,CDK2,ARF1,GRK5   \n",
       "7                                                                                                                                                                                 TRIM21,FBXO45,SPSB2,SPSB4,SPSB1   \n",
       "8                                                                                                                                                                                           ADRB2,GRK2,CXCR4,CCR4   \n",
       "9                                                                                                                                                                                              SEC22B,STX12,VAMP4   \n",
       "10                                                                                                                                                                                           ARHGEF12,GIPC1,GIPC2   \n",
       "11                                                                                                                                                                                      DYNC1H1,DYNC1LI1,DYNC1LI2   \n",
       "12                                                                                                                                                                                                    BICD2,BICD1   \n",
       "13                                                                                                                                                                                                        HSD17B8   \n",
       "14                                                                                                                                                                                                           UGP2   \n",
       "15                                                                                                                                                                                                           CLK1   \n",
       "16                                                                                                                                                                                                           IQCN   \n",
       "17                                                                                                                                                                                                        HSD17B8   \n",
       "\n",
       "                                                                                                                                                                       Affected binding (NCBI)  \n",
       "0   55611,7335,79594,51035,57159,329,9666,149041,84676,7157,257218,10273,7332,6737,117584,6596,331,7681,6045,9025,7186,9040,10616,84937,7316,7320,22954,5887,84708,26994,7334,85363,7178,54542  \n",
       "1         2785,5999,5997,2784,2786,59345,134430,1394,1901,5739,156,9826,2782,23097,259249,23365,9138,6004,7433,11214,1230,2783,9294,2149,23236,8490,6915,64407,495,2778,29978,286530,6000,5330  \n",
       "2                                              6464,2065,5594,4914,64759,5754,4739,2263,9625,5335,3717,2185,2885,5777,50807,4920,1445,8440,8470,3791,3480,4690,9564,11252,2066,1956,2264,22853  \n",
       "3                                                                653361,5583,1742,1147,5578,5598,5582,121512,10811,5321,2932,3551,11214,5337,60312,7074,10928,2931,57664,57154,5336,23286,5579  \n",
       "4                                                                           23085,2664,3845,8766,81876,94122,5861,51560,7048,23637,4893,4867,375,3265,57664,5862,4952,7879,9230,9367,1121,1122  \n",
       "5                                                                                                                  5585,5495,207,10298,5562,5578,8476,1263,5058,5584,1111,11183,5062,9578,5601  \n",
       "6                                                                                                                                          57664,8766,1025,4893,3417,142686,9367,1017,375,2869  \n",
       "7                                                                                                                                                                200933,6737,80176,92369,84727  \n",
       "8                                                                                                                                                                            154,156,7852,1233  \n",
       "9                                                                                                                                                                              9554,23673,8674  \n",
       "10                                                                                                                                                                           23365,54810,10755  \n",
       "11                                                                                                                                                                             1778,51143,1783  \n",
       "12                                                                                                                                                                                   23299,636  \n",
       "13                                                                                                                                                                                        7923  \n",
       "14                                                                                                                                                                                        7360  \n",
       "15                                                                                                                                                                                        1195  \n",
       "16                                                                                                                                                                                       80726  \n",
       "17                                                                                                                                                                                        7923  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List of affected interactions (domain binding)\n",
    "\n",
    "events.get_edges()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe0f49c4-4bad-4aed-b822-8e8401613741",
   "metadata": {},
   "source": [
    "### NEASE edge enrichment "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9a2b3182-3d9a-4b7d-957b-5b963978c787",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NEASE enrichment for the pathway databases:\n",
      " ['Reactome']\n",
      "Found 100 enriched pathways after multiple testing correction.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pathway ID</th>\n",
       "      <th>Pathway name</th>\n",
       "      <th>Source</th>\n",
       "      <th>Spliced genes (number of interactions affecting the pathway)</th>\n",
       "      <th>p_value</th>\n",
       "      <th>adj p_value</th>\n",
       "      <th>Nease score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>R-HSA-388396</td>\n",
       "      <td>GPCR downstream signalling</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (2), PTPN12 (5), GNAQ (30), GRK3 (4), ARHGEF12 (1), PRKCA (9), ARF4 (2), RAB6A (3), ROCK2 (1)</td>\n",
       "      <td>8.000286e-25</td>\n",
       "      <td>1.327515e-21</td>\n",
       "      <td>48.193789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>R-HSA-372790</td>\n",
       "      <td>Signaling by GPCR</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (2), PTPN12 (5), GNAQ (30), GRK3 (4), ARHGEF12 (1), PRKCA (9), ARF4 (2), RAB6A (3), ROCK2 (1)</td>\n",
       "      <td>1.463633e-24</td>\n",
       "      <td>1.327515e-21</td>\n",
       "      <td>47.669136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>R-HSA-416476</td>\n",
       "      <td>G alpha (q) signalling events</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), PTPN12 (3), GNAQ (15), GRK3 (1), PRKCA (3), ARF4 (2), RAB6A (3)</td>\n",
       "      <td>8.624395e-13</td>\n",
       "      <td>3.911163e-10</td>\n",
       "      <td>26.976531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R-HSA-418594</td>\n",
       "      <td>G alpha (i) signalling events</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), PTPN12 (1), GNAQ (19), GRK3 (3), PRKCA (3)</td>\n",
       "      <td>2.793136e-14</td>\n",
       "      <td>1.688916e-11</td>\n",
       "      <td>23.476057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>R-HSA-199991</td>\n",
       "      <td>Membrane Trafficking</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), SCFD2 (2), PTPN12 (3), GNAQ (2), DYNC1LI1 (3), GRK3 (2), UBE2V2 (4), BICD1 (2), PRKCA (1), ARF4 (3), RAB6A (13)</td>\n",
       "      <td>1.460389e-07</td>\n",
       "      <td>1.655715e-05</td>\n",
       "      <td>16.743565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>R-HSA-162582</td>\n",
       "      <td>Signal Transduction</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (8), PTPN12 (21), GNAQ (30), DYNC1LI1 (3), GRK3 (4), UBE2V2 (12), ARHGEF12 (1), PRKCA (19), ARF4 (4), RAB6A (6), ROCK2 (1)</td>\n",
       "      <td>3.341040e-08</td>\n",
       "      <td>5.509679e-06</td>\n",
       "      <td>16.717109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>R-HSA-500792</td>\n",
       "      <td>GPCR ligand binding</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>GNAQ (15), GRK3 (3)</td>\n",
       "      <td>1.820063e-12</td>\n",
       "      <td>6.603189e-10</td>\n",
       "      <td>16.602745</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>SCFD2 (2), DYNC1LI1 (3), BICD1 (2), PRKCA (1), ARF4 (2), RAB6A (5)</td>\n",
       "      <td>4.053087e-08</td>\n",
       "      <td>6.126916e-06</td>\n",
       "      <td>16.529493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>R-HSA-416482</td>\n",
       "      <td>G alpha (12/13) signalling events</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>GNAQ (11), ARHGEF12 (1), PRKCA (3), ROCK2 (1)</td>\n",
       "      <td>1.562576e-08</td>\n",
       "      <td>2.834513e-06</td>\n",
       "      <td>15.612318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>R-HSA-5653656</td>\n",
       "      <td>Vesicle-mediated transport</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), SCFD2 (2), PTPN12 (3), GNAQ (2), DYNC1LI1 (3), GRK3 (2), UBE2V2 (4), BICD1 (2), PRKCA (1), ARF4 (3), RAB6A (13)</td>\n",
       "      <td>4.729478e-07</td>\n",
       "      <td>4.085368e-05</td>\n",
       "      <td>15.493480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>R-HSA-418555</td>\n",
       "      <td>G alpha (s) signalling events</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>GNAQ (11), GRK3 (2), ARF4 (1)</td>\n",
       "      <td>8.068915e-10</td>\n",
       "      <td>2.439502e-07</td>\n",
       "      <td>12.859705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>R-HSA-418597</td>\n",
       "      <td>G alpha (z) signalling events</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), GNAQ (8), PRKCA (4)</td>\n",
       "      <td>1.683149e-09</td>\n",
       "      <td>4.361762e-07</td>\n",
       "      <td>12.408136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>R-HSA-8856688</td>\n",
       "      <td>Golgi-to-ER retrograde transport</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>SCFD2 (1), DYNC1LI1 (3), BICD1 (2), PRKCA (1), ARF4 (1), RAB6A (4)</td>\n",
       "      <td>7.210349e-07</td>\n",
       "      <td>5.945260e-05</td>\n",
       "      <td>12.284087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>R-HSA-111885</td>\n",
       "      <td>Opioid Signalling</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), PTPN12 (1), GNAQ (10), GRK3 (1), PRKCA (3)</td>\n",
       "      <td>5.853516e-08</td>\n",
       "      <td>8.167906e-06</td>\n",
       "      <td>10.228417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>R-HSA-8873719</td>\n",
       "      <td>RAB geranylgeranylation</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>ARF4 (2), RAB6A (10)</td>\n",
       "      <td>8.169423e-08</td>\n",
       "      <td>9.994351e-06</td>\n",
       "      <td>10.023675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>R-HSA-112043</td>\n",
       "      <td>PLC beta mediated events</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), PTPN12 (1), GNAQ (4), GRK3 (1), PRKCA (3)</td>\n",
       "      <td>5.385735e-06</td>\n",
       "      <td>3.399503e-04</td>\n",
       "      <td>9.125751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>R-HSA-112040</td>\n",
       "      <td>G-protein mediated events</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), PTPN12 (1), GNAQ (4), GRK3 (1), PRKCA (3)</td>\n",
       "      <td>5.434707e-06</td>\n",
       "      <td>3.399503e-04</td>\n",
       "      <td>9.118942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>R-HSA-399997</td>\n",
       "      <td>Acetylcholine regulates insulin secretion</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), GNAQ (3), PRKCA (1)</td>\n",
       "      <td>8.784741e-06</td>\n",
       "      <td>4.828945e-04</td>\n",
       "      <td>8.757718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>R-HSA-9007101</td>\n",
       "      <td>Rab regulation of trafficking</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), ARF4 (2), RAB6A (11)</td>\n",
       "      <td>8.770349e-07</td>\n",
       "      <td>6.917137e-05</td>\n",
       "      <td>8.565868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>R-HSA-373076</td>\n",
       "      <td>Class A/1 (Rhodopsin-like receptors)</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>GNAQ (6), GRK3 (3)</td>\n",
       "      <td>1.578221e-06</td>\n",
       "      <td>1.192872e-04</td>\n",
       "      <td>8.205030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>R-HSA-418217</td>\n",
       "      <td>G beta:gamma signalling through PLC beta</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>GNAQ (9)</td>\n",
       "      <td>8.129461e-09</td>\n",
       "      <td>1.765423e-06</td>\n",
       "      <td>8.089938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>R-HSA-500657</td>\n",
       "      <td>Presynaptic function of Kainate receptors</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>GNAQ (9)</td>\n",
       "      <td>8.758992e-09</td>\n",
       "      <td>1.765423e-06</td>\n",
       "      <td>8.057546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>R-HSA-1280218</td>\n",
       "      <td>Adaptive Immune System</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (3), SCFD2 (1), PTPN12 (6), UBE2V2 (17), PRKCA (6), ARF4 (3), RAB6A (4), PAWR (4)</td>\n",
       "      <td>2.240761e-05</td>\n",
       "      <td>1.161354e-03</td>\n",
       "      <td>8.053351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>R-HSA-194840</td>\n",
       "      <td>Rho GTPase cycle</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>GNAQ (4), ARHGEF12 (1), PRKCA (4), RAB6A (2)</td>\n",
       "      <td>1.122209e-04</td>\n",
       "      <td>3.914783e-03</td>\n",
       "      <td>7.899852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>R-HSA-204998</td>\n",
       "      <td>Cell death signalling via NRAGE, NRIF and NADE</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>GNAQ (4), UBE2V2 (4), ARHGEF12 (1), PRKCA (3)</td>\n",
       "      <td>1.232676e-04</td>\n",
       "      <td>4.065589e-03</td>\n",
       "      <td>7.818302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>R-HSA-6811436</td>\n",
       "      <td>COPI-independent Golgi-to-ER retrograde traffic</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>DYNC1LI1 (3), BICD1 (2), PRKCA (1), RAB6A (1)</td>\n",
       "      <td>3.125664e-06</td>\n",
       "      <td>2.267982e-04</td>\n",
       "      <td>7.785327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>R-HSA-397795</td>\n",
       "      <td>G-protein beta:gamma signalling</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), PTPN12 (3), GNAQ (9)</td>\n",
       "      <td>3.320230e-06</td>\n",
       "      <td>2.316499e-04</td>\n",
       "      <td>7.748238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>R-HSA-4420097</td>\n",
       "      <td>VEGFA-VEGFR2 Pathway</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (4), PTPN12 (6), PRKCA (3), ARF4 (1), RAB6A (3), ROCK2 (1)</td>\n",
       "      <td>3.692159e-04</td>\n",
       "      <td>9.433206e-03</td>\n",
       "      <td>7.675794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>R-HSA-73887</td>\n",
       "      <td>Death Receptor Signalling</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), GNAQ (4), UBE2V2 (8), ARHGEF12 (1), PRKCA (5)</td>\n",
       "      <td>3.734979e-05</td>\n",
       "      <td>1.693813e-03</td>\n",
       "      <td>7.669022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>R-HSA-112314</td>\n",
       "      <td>Neurotransmitter receptors and postsynaptic signal transmission</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), PTPN12 (1), GNAQ (9), PRKCA (4), RAB6A (1)</td>\n",
       "      <td>4.216097e-06</td>\n",
       "      <td>2.832593e-04</td>\n",
       "      <td>7.601524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>R-HSA-451326</td>\n",
       "      <td>Activation of kainate receptors upon glutamate binding</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>GNAQ (9), PRKCA (1)</td>\n",
       "      <td>8.264348e-08</td>\n",
       "      <td>9.994351e-06</td>\n",
       "      <td>7.082791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>R-HSA-193648</td>\n",
       "      <td>NRAGE signals death through JNK</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>GNAQ (4), ARHGEF12 (1), PRKCA (3)</td>\n",
       "      <td>8.258369e-05</td>\n",
       "      <td>3.187379e-03</td>\n",
       "      <td>7.072147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>R-HSA-373080</td>\n",
       "      <td>Class B/2 (Secretin family receptors)</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>GNAQ (9)</td>\n",
       "      <td>1.662260e-07</td>\n",
       "      <td>1.773729e-05</td>\n",
       "      <td>6.779301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>R-HSA-194138</td>\n",
       "      <td>Signaling by VEGF</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (4), PTPN12 (6), PRKCA (3), ARF4 (1), RAB6A (3), ROCK2 (1)</td>\n",
       "      <td>4.287943e-04</td>\n",
       "      <td>1.080323e-02</td>\n",
       "      <td>6.735502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>R-HSA-76002</td>\n",
       "      <td>Platelet activation, signaling and aggregation</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (2), PTPN12 (6), GNAQ (8), PRKCA (6)</td>\n",
       "      <td>1.323048e-04</td>\n",
       "      <td>4.285732e-03</td>\n",
       "      <td>6.717628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>R-HSA-392851</td>\n",
       "      <td>Prostacyclin signalling through prostacyclin receptor</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>GNAQ (8)</td>\n",
       "      <td>2.192695e-07</td>\n",
       "      <td>2.209750e-05</td>\n",
       "      <td>6.659022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>R-HSA-420092</td>\n",
       "      <td>Glucagon-type ligand receptors</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>GNAQ (8)</td>\n",
       "      <td>2.686401e-07</td>\n",
       "      <td>2.564806e-05</td>\n",
       "      <td>6.570829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>R-HSA-422356</td>\n",
       "      <td>Regulation of insulin secretion</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), GNAQ (10), PRKCA (1)</td>\n",
       "      <td>3.090841e-07</td>\n",
       "      <td>2.803392e-05</td>\n",
       "      <td>6.509923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>R-HSA-112315</td>\n",
       "      <td>Transmission across Chemical Synapses</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>PPM1A (1), PTPN12 (1), GNAQ (9), PRKCA (4), RAB6A (1)</td>\n",
       "      <td>3.315070e-05</td>\n",
       "      <td>1.582510e-03</td>\n",
       "      <td>6.334980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>R-HSA-446203</td>\n",
       "      <td>Asparagine N-linked glycosylation</td>\n",
       "      <td>Reactome</td>\n",
       "      <td>SCFD2 (1), DYNC1LI1 (3), UBE2V2 (6), ARF4 (1), RAB6A (3)</td>\n",
       "      <td>2.252142e-04</td>\n",
       "      <td>6.697354e-03</td>\n",
       "      <td>6.317489</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Pathway ID  \\\n",
       "0    R-HSA-388396   \n",
       "1    R-HSA-372790   \n",
       "2    R-HSA-416476   \n",
       "3    R-HSA-418594   \n",
       "4    R-HSA-199991   \n",
       "5    R-HSA-162582   \n",
       "6    R-HSA-500792   \n",
       "7   R-HSA-6811442   \n",
       "8    R-HSA-416482   \n",
       "9   R-HSA-5653656   \n",
       "10   R-HSA-418555   \n",
       "11   R-HSA-418597   \n",
       "12  R-HSA-8856688   \n",
       "13   R-HSA-111885   \n",
       "14  R-HSA-8873719   \n",
       "15   R-HSA-112043   \n",
       "16   R-HSA-112040   \n",
       "17   R-HSA-399997   \n",
       "18  R-HSA-9007101   \n",
       "19   R-HSA-373076   \n",
       "20   R-HSA-418217   \n",
       "21   R-HSA-500657   \n",
       "22  R-HSA-1280218   \n",
       "23   R-HSA-194840   \n",
       "24   R-HSA-204998   \n",
       "25  R-HSA-6811436   \n",
       "26   R-HSA-397795   \n",
       "27  R-HSA-4420097   \n",
       "28    R-HSA-73887   \n",
       "29   R-HSA-112314   \n",
       "30   R-HSA-451326   \n",
       "31   R-HSA-193648   \n",
       "32   R-HSA-373080   \n",
       "33   R-HSA-194138   \n",
       "34    R-HSA-76002   \n",
       "35   R-HSA-392851   \n",
       "36   R-HSA-420092   \n",
       "37   R-HSA-422356   \n",
       "38   R-HSA-112315   \n",
       "39   R-HSA-446203   \n",
       "\n",
       "                                                       Pathway name    Source  \\\n",
       "0                                        GPCR downstream signalling  Reactome   \n",
       "1                                                 Signaling by GPCR  Reactome   \n",
       "2                                     G alpha (q) signalling events  Reactome   \n",
       "3                                     G alpha (i) signalling events  Reactome   \n",
       "4                                              Membrane Trafficking  Reactome   \n",
       "5                                               Signal Transduction  Reactome   \n",
       "6                                               GPCR ligand binding  Reactome   \n",
       "7                    Intra-Golgi and retrograde Golgi-to-ER traffic  Reactome   \n",
       "8                                 G alpha (12/13) signalling events  Reactome   \n",
       "9                                        Vesicle-mediated transport  Reactome   \n",
       "10                                    G alpha (s) signalling events  Reactome   \n",
       "11                                    G alpha (z) signalling events  Reactome   \n",
       "12                                 Golgi-to-ER retrograde transport  Reactome   \n",
       "13                                                Opioid Signalling  Reactome   \n",
       "14                                          RAB geranylgeranylation  Reactome   \n",
       "15                                         PLC beta mediated events  Reactome   \n",
       "16                                        G-protein mediated events  Reactome   \n",
       "17                        Acetylcholine regulates insulin secretion  Reactome   \n",
       "18                                    Rab regulation of trafficking  Reactome   \n",
       "19                             Class A/1 (Rhodopsin-like receptors)  Reactome   \n",
       "20                         G beta:gamma signalling through PLC beta  Reactome   \n",
       "21                        Presynaptic function of Kainate receptors  Reactome   \n",
       "22                                           Adaptive Immune System  Reactome   \n",
       "23                                                 Rho GTPase cycle  Reactome   \n",
       "24                   Cell death signalling via NRAGE, NRIF and NADE  Reactome   \n",
       "25                  COPI-independent Golgi-to-ER retrograde traffic  Reactome   \n",
       "26                                  G-protein beta:gamma signalling  Reactome   \n",
       "27                                             VEGFA-VEGFR2 Pathway  Reactome   \n",
       "28                                        Death Receptor Signalling  Reactome   \n",
       "29  Neurotransmitter receptors and postsynaptic signal transmission  Reactome   \n",
       "30           Activation of kainate receptors upon glutamate binding  Reactome   \n",
       "31                                  NRAGE signals death through JNK  Reactome   \n",
       "32                            Class B/2 (Secretin family receptors)  Reactome   \n",
       "33                                                Signaling by VEGF  Reactome   \n",
       "34                   Platelet activation, signaling and aggregation  Reactome   \n",
       "35            Prostacyclin signalling through prostacyclin receptor  Reactome   \n",
       "36                                   Glucagon-type ligand receptors  Reactome   \n",
       "37                                  Regulation of insulin secretion  Reactome   \n",
       "38                            Transmission across Chemical Synapses  Reactome   \n",
       "39                                Asparagine N-linked glycosylation  Reactome   \n",
       "\n",
       "                                                                        Spliced genes (number of interactions affecting the pathway)  \\\n",
       "0                                PPM1A (2), PTPN12 (5), GNAQ (30), GRK3 (4), ARHGEF12 (1), PRKCA (9), ARF4 (2), RAB6A (3), ROCK2 (1)   \n",
       "1                                PPM1A (2), PTPN12 (5), GNAQ (30), GRK3 (4), ARHGEF12 (1), PRKCA (9), ARF4 (2), RAB6A (3), ROCK2 (1)   \n",
       "2                                                         PPM1A (1), PTPN12 (3), GNAQ (15), GRK3 (1), PRKCA (3), ARF4 (2), RAB6A (3)   \n",
       "3                                                                              PPM1A (1), PTPN12 (1), GNAQ (19), GRK3 (3), PRKCA (3)   \n",
       "4         PPM1A (1), SCFD2 (2), PTPN12 (3), GNAQ (2), DYNC1LI1 (3), GRK3 (2), UBE2V2 (4), BICD1 (2), PRKCA (1), ARF4 (3), RAB6A (13)   \n",
       "5   PPM1A (8), PTPN12 (21), GNAQ (30), DYNC1LI1 (3), GRK3 (4), UBE2V2 (12), ARHGEF12 (1), PRKCA (19), ARF4 (4), RAB6A (6), ROCK2 (1)   \n",
       "6                                                                                                                GNAQ (15), GRK3 (3)   \n",
       "7                                                                 SCFD2 (2), DYNC1LI1 (3), BICD1 (2), PRKCA (1), ARF4 (2), RAB6A (5)   \n",
       "8                                                                                      GNAQ (11), ARHGEF12 (1), PRKCA (3), ROCK2 (1)   \n",
       "9         PPM1A (1), SCFD2 (2), PTPN12 (3), GNAQ (2), DYNC1LI1 (3), GRK3 (2), UBE2V2 (4), BICD1 (2), PRKCA (1), ARF4 (3), RAB6A (13)   \n",
       "10                                                                                                     GNAQ (11), GRK3 (2), ARF4 (1)   \n",
       "11                                                                                                    PPM1A (1), GNAQ (8), PRKCA (4)   \n",
       "12                                                                SCFD2 (1), DYNC1LI1 (3), BICD1 (2), PRKCA (1), ARF4 (1), RAB6A (4)   \n",
       "13                                                                             PPM1A (1), PTPN12 (1), GNAQ (10), GRK3 (1), PRKCA (3)   \n",
       "14                                                                                                              ARF4 (2), RAB6A (10)   \n",
       "15                                                                              PPM1A (1), PTPN12 (1), GNAQ (4), GRK3 (1), PRKCA (3)   \n",
       "16                                                                              PPM1A (1), PTPN12 (1), GNAQ (4), GRK3 (1), PRKCA (3)   \n",
       "17                                                                                                    PPM1A (1), GNAQ (3), PRKCA (1)   \n",
       "18                                                                                                   PPM1A (1), ARF4 (2), RAB6A (11)   \n",
       "19                                                                                                                GNAQ (6), GRK3 (3)   \n",
       "20                                                                                                                          GNAQ (9)   \n",
       "21                                                                                                                          GNAQ (9)   \n",
       "22                                           PPM1A (3), SCFD2 (1), PTPN12 (6), UBE2V2 (17), PRKCA (6), ARF4 (3), RAB6A (4), PAWR (4)   \n",
       "23                                                                                      GNAQ (4), ARHGEF12 (1), PRKCA (4), RAB6A (2)   \n",
       "24                                                                                     GNAQ (4), UBE2V2 (4), ARHGEF12 (1), PRKCA (3)   \n",
       "25                                                                                     DYNC1LI1 (3), BICD1 (2), PRKCA (1), RAB6A (1)   \n",
       "26                                                                                                   PPM1A (1), PTPN12 (3), GNAQ (9)   \n",
       "27                                                                  PPM1A (4), PTPN12 (6), PRKCA (3), ARF4 (1), RAB6A (3), ROCK2 (1)   \n",
       "28                                                                          PPM1A (1), GNAQ (4), UBE2V2 (8), ARHGEF12 (1), PRKCA (5)   \n",
       "29                                                                             PPM1A (1), PTPN12 (1), GNAQ (9), PRKCA (4), RAB6A (1)   \n",
       "30                                                                                                               GNAQ (9), PRKCA (1)   \n",
       "31                                                                                                 GNAQ (4), ARHGEF12 (1), PRKCA (3)   \n",
       "32                                                                                                                          GNAQ (9)   \n",
       "33                                                                  PPM1A (4), PTPN12 (6), PRKCA (3), ARF4 (1), RAB6A (3), ROCK2 (1)   \n",
       "34                                                                                        PPM1A (2), PTPN12 (6), GNAQ (8), PRKCA (6)   \n",
       "35                                                                                                                          GNAQ (8)   \n",
       "36                                                                                                                          GNAQ (8)   \n",
       "37                                                                                                   PPM1A (1), GNAQ (10), PRKCA (1)   \n",
       "38                                                                             PPM1A (1), PTPN12 (1), GNAQ (9), PRKCA (4), RAB6A (1)   \n",
       "39                                                                          SCFD2 (1), DYNC1LI1 (3), UBE2V2 (6), ARF4 (1), RAB6A (3)   \n",
       "\n",
       "         p_value   adj p_value  Nease score  \n",
       "0   8.000286e-25  1.327515e-21    48.193789  \n",
       "1   1.463633e-24  1.327515e-21    47.669136  \n",
       "2   8.624395e-13  3.911163e-10    26.976531  \n",
       "3   2.793136e-14  1.688916e-11    23.476057  \n",
       "4   1.460389e-07  1.655715e-05    16.743565  \n",
       "5   3.341040e-08  5.509679e-06    16.717109  \n",
       "6   1.820063e-12  6.603189e-10    16.602745  \n",
       "7   4.053087e-08  6.126916e-06    16.529493  \n",
       "8   1.562576e-08  2.834513e-06    15.612318  \n",
       "9   4.729478e-07  4.085368e-05    15.493480  \n",
       "10  8.068915e-10  2.439502e-07    12.859705  \n",
       "11  1.683149e-09  4.361762e-07    12.408136  \n",
       "12  7.210349e-07  5.945260e-05    12.284087  \n",
       "13  5.853516e-08  8.167906e-06    10.228417  \n",
       "14  8.169423e-08  9.994351e-06    10.023675  \n",
       "15  5.385735e-06  3.399503e-04     9.125751  \n",
       "16  5.434707e-06  3.399503e-04     9.118942  \n",
       "17  8.784741e-06  4.828945e-04     8.757718  \n",
       "18  8.770349e-07  6.917137e-05     8.565868  \n",
       "19  1.578221e-06  1.192872e-04     8.205030  \n",
       "20  8.129461e-09  1.765423e-06     8.089938  \n",
       "21  8.758992e-09  1.765423e-06     8.057546  \n",
       "22  2.240761e-05  1.161354e-03     8.053351  \n",
       "23  1.122209e-04  3.914783e-03     7.899852  \n",
       "24  1.232676e-04  4.065589e-03     7.818302  \n",
       "25  3.125664e-06  2.267982e-04     7.785327  \n",
       "26  3.320230e-06  2.316499e-04     7.748238  \n",
       "27  3.692159e-04  9.433206e-03     7.675794  \n",
       "28  3.734979e-05  1.693813e-03     7.669022  \n",
       "29  4.216097e-06  2.832593e-04     7.601524  \n",
       "30  8.264348e-08  9.994351e-06     7.082791  \n",
       "31  8.258369e-05  3.187379e-03     7.072147  \n",
       "32  1.662260e-07  1.773729e-05     6.779301  \n",
       "33  4.287943e-04  1.080323e-02     6.735502  \n",
       "34  1.323048e-04  4.285732e-03     6.717628  \n",
       "35  2.192695e-07  2.209750e-05     6.659022  \n",
       "36  2.686401e-07  2.564806e-05     6.570829  \n",
       "37  3.090841e-07  2.803392e-05     6.509923  \n",
       "38  3.315070e-05  1.582510e-03     6.334980  \n",
       "39  2.252142e-04  6.697354e-03     6.317489  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nease_enr=events.enrich(database=['Reactome'])\n",
    "nease_enr.head(40)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96c083c5-d0ab-4ba2-adf2-e96efdb4798a",
   "metadata": {},
   "source": [
    "### Pathway specific analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "21351558-08c6-4b43-8bd0-2b5acfe23402",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enrichment of the pathway: GPCR downstream signalling.\n",
      "\n",
      "Overall p_value:  8.000286444589072e-25\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>GNAQ</td>\n",
       "      <td>2776</td>\n",
       "      <td>True</td>\n",
       "      <td>30/36</td>\n",
       "      <td>5.241948e-32</td>\n",
       "      <td>GNG3,RGS4,RGS2,GNB3,PLCB3,GNG4,GNB4,LINC02210,S1PR1,ARHGEF25,PTGIR,GRK2,ARHGEF11,GNB1,ARHGEF12,ARHGEF1,RGS16,VIPR1,AKAP13,CCR1,GNB2,S1PR2,F2R,PLCB1,RGS5,TBXA2R,RGS18,GNAS,RGS7,PLCB2</td>\n",
       "      <td>2785,5999,5997,2784,5331,2786,59345,1394,1901,115557,5739,156,9826,2782,23365,9138,6004,7433,11214,1230,2783,9294,2149,23236,8490,6915,64407,2778,6000,5330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PRKCA</td>\n",
       "      <td>5578</td>\n",
       "      <td>True</td>\n",
       "      <td>9/23</td>\n",
       "      <td>2.366646e-06</td>\n",
       "      <td>PRKCH,PRKCA,MAPK7,PRKCG,FGD4,PLA2G4A,AKAP13,TIAM1,PRKCB</td>\n",
       "      <td>5583,5578,5598,5582,121512,5321,11214,7074,5579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GRK3</td>\n",
       "      <td>157</td>\n",
       "      <td>True</td>\n",
       "      <td>4/4</td>\n",
       "      <td>1.031094e-05</td>\n",
       "      <td>ADRB2,GRK2,CXCR4,CCR4</td>\n",
       "      <td>154,156,7852,1233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PTPN12</td>\n",
       "      <td>5782</td>\n",
       "      <td>False</td>\n",
       "      <td>5/28</td>\n",
       "      <td>1.923969e-02</td>\n",
       "      <td>SHC1,MAPK1,JAK2,GRB2,EGFR</td>\n",
       "      <td>6464,5594,3717,2885,1956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ROCK2</td>\n",
       "      <td>9475</td>\n",
       "      <td>True</td>\n",
       "      <td>1/1</td>\n",
       "      <td>5.667801e-02</td>\n",
       "      <td>ROCK2</td>\n",
       "      <td>9475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ARF4</td>\n",
       "      <td>378</td>\n",
       "      <td>False</td>\n",
       "      <td>2/10</td>\n",
       "      <td>1.067992e-01</td>\n",
       "      <td>NRAS,GRK5</td>\n",
       "      <td>4893,2869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>RAB6A</td>\n",
       "      <td>5870</td>\n",
       "      <td>False</td>\n",
       "      <td>3/22</td>\n",
       "      <td>1.257619e-01</td>\n",
       "      <td>KRAS,NRAS,HRAS</td>\n",
       "      <td>3845,4893,3265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ARHGEF12</td>\n",
       "      <td>23365</td>\n",
       "      <td>True</td>\n",
       "      <td>1/3</td>\n",
       "      <td>1.605802e-01</td>\n",
       "      <td>ARHGEF12</td>\n",
       "      <td>23365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>PPM1A</td>\n",
       "      <td>5494</td>\n",
       "      <td>False</td>\n",
       "      <td>2/15</td>\n",
       "      <td>2.076054e-01</td>\n",
       "      <td>AKT1,PRKCA</td>\n",
       "      <td>207,5578</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          GNAQ         2776                                True   \n",
       "1         PRKCA         5578                                True   \n",
       "2          GRK3          157                                True   \n",
       "3        PTPN12         5782                               False   \n",
       "4         ROCK2         9475                                True   \n",
       "5          ARF4          378                               False   \n",
       "6         RAB6A         5870                               False   \n",
       "7      ARHGEF12        23365                                True   \n",
       "8         PPM1A         5494                               False   \n",
       "\n",
       "  Percentage of edges associated to the pathway       p_value  \\\n",
       "0                                         30/36  5.241948e-32   \n",
       "1                                          9/23  2.366646e-06   \n",
       "2                                           4/4  1.031094e-05   \n",
       "3                                          5/28  1.923969e-02   \n",
       "4                                           1/1  5.667801e-02   \n",
       "5                                          2/10  1.067992e-01   \n",
       "6                                          3/22  1.257619e-01   \n",
       "7                                           1/3  1.605802e-01   \n",
       "8                                          2/15  2.076054e-01   \n",
       "\n",
       "                                                                                                                                                                Affected binding (edges)  \\\n",
       "0  GNG3,RGS4,RGS2,GNB3,PLCB3,GNG4,GNB4,LINC02210,S1PR1,ARHGEF25,PTGIR,GRK2,ARHGEF11,GNB1,ARHGEF12,ARHGEF1,RGS16,VIPR1,AKAP13,CCR1,GNB2,S1PR2,F2R,PLCB1,RGS5,TBXA2R,RGS18,GNAS,RGS7,PLCB2   \n",
       "1                                                                                                                                PRKCH,PRKCA,MAPK7,PRKCG,FGD4,PLA2G4A,AKAP13,TIAM1,PRKCB   \n",
       "2                                                                                                                                                                  ADRB2,GRK2,CXCR4,CCR4   \n",
       "3                                                                                                                                                              SHC1,MAPK1,JAK2,GRB2,EGFR   \n",
       "4                                                                                                                                                                                  ROCK2   \n",
       "5                                                                                                                                                                              NRAS,GRK5   \n",
       "6                                                                                                                                                                         KRAS,NRAS,HRAS   \n",
       "7                                                                                                                                                                               ARHGEF12   \n",
       "8                                                                                                                                                                             AKT1,PRKCA   \n",
       "\n",
       "                                                                                                                                       Affected binding (NCBI)  \n",
       "0  2785,5999,5997,2784,5331,2786,59345,1394,1901,115557,5739,156,9826,2782,23365,9138,6004,7433,11214,1230,2783,9294,2149,23236,8490,6915,64407,2778,6000,5330  \n",
       "1                                                                                                              5583,5578,5598,5582,121512,5321,11214,7074,5579  \n",
       "2                                                                                                                                            154,156,7852,1233  \n",
       "3                                                                                                                                     6464,5594,3717,2885,1956  \n",
       "4                                                                                                                                                         9475  \n",
       "5                                                                                                                                                    4893,2869  \n",
       "6                                                                                                                                               3845,4893,3265  \n",
       "7                                                                                                                                                        23365  \n",
       "8                                                                                                                                                     207,5578  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# GPCR downstream signalling\n",
    "best_path=events.path_analysis('R-HSA-388396')\n",
    "best_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fc5e81af-6289-422e-99bd-84122362f47d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enrichment of the pathway: Platelet activation, signaling and aggregation.\n",
      "\n",
      "Overall p_value:  0.00013230483268074936\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>GNAQ</td>\n",
       "      <td>2776</td>\n",
       "      <td>True</td>\n",
       "      <td>8/36</td>\n",
       "      <td>0.000184</td>\n",
       "      <td>GNG3,GNB3,GNG4,GNB4,GNB1,GNB2,F2R,TBXA2R</td>\n",
       "      <td>2785,2784,2786,59345,2782,2783,2149,6915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PRKCA</td>\n",
       "      <td>5578</td>\n",
       "      <td>True</td>\n",
       "      <td>6/23</td>\n",
       "      <td>0.000472</td>\n",
       "      <td>PRKCH,PRKCA,PRKCG,PLA2G4A,PLCG2,PRKCB</td>\n",
       "      <td>5583,5578,5582,5321,5336,5579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PTPN12</td>\n",
       "      <td>5782</td>\n",
       "      <td>False</td>\n",
       "      <td>6/28</td>\n",
       "      <td>0.001448</td>\n",
       "      <td>SHC1,MAPK1,GRB2,PTPN6,CSK,BCAR1</td>\n",
       "      <td>6464,5594,2885,5777,1445,9564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PPM1A</td>\n",
       "      <td>5494</td>\n",
       "      <td>False</td>\n",
       "      <td>2/15</td>\n",
       "      <td>0.148566</td>\n",
       "      <td>AKT1,PRKCA</td>\n",
       "      <td>207,5578</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          GNAQ         2776                                True   \n",
       "1         PRKCA         5578                                True   \n",
       "2        PTPN12         5782                               False   \n",
       "3         PPM1A         5494                               False   \n",
       "\n",
       "  Percentage of edges associated to the pathway   p_value  \\\n",
       "0                                          8/36  0.000184   \n",
       "1                                          6/23  0.000472   \n",
       "2                                          6/28  0.001448   \n",
       "3                                          2/15  0.148566   \n",
       "\n",
       "                   Affected binding (edges)  \\\n",
       "0  GNG3,GNB3,GNG4,GNB4,GNB1,GNB2,F2R,TBXA2R   \n",
       "1     PRKCH,PRKCA,PRKCG,PLA2G4A,PLCG2,PRKCB   \n",
       "2           SHC1,MAPK1,GRB2,PTPN6,CSK,BCAR1   \n",
       "3                                AKT1,PRKCA   \n",
       "\n",
       "                    Affected binding (NCBI)  \n",
       "0  2785,2784,2786,59345,2782,2783,2149,6915  \n",
       "1             5583,5578,5582,5321,5336,5579  \n",
       "2             6464,5594,2885,5777,1445,9564  \n",
       "3                                  207,5578  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "events.path_analysis('R-HSA-76002')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4b9b680-c8ed-444f-ad0d-1b1313c15951",
   "metadata": {},
   "source": [
    "### Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3a684fb9-d904-45f8-8e7e-ada448764d51",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enrichment of the pathway: GPCR downstream signalling.\n",
      "\n",
      "Overall p_value:  8.000286444589072e-25\n",
      "\n",
      "\n",
      "Visualization of the pathway generated in: GPCR downstream signalling.html\n"
     ]
    }
   ],
   "source": [
    "# Finally we can visualize affected pathways with nease\n",
    "# you can run this function several times to get a  better visualization\n",
    "\n",
    "events.Vis_path(\"R-HSA-388396\",file='AS data',k=0.8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "466826fd-936a-48ea-bfaf-4f68ed99b42d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enrichment of the pathway: Platelet activation, signaling and aggregation.\n",
      "\n",
      "Overall p_value:  0.00013230483268074936\n",
      "\n",
      "\n",
      "Visualization of the pathway generated in: Platelet activation, signaling and aggregation.html\n"
     ]
    }
   ],
   "source": [
    "events.Vis_path('R-HSA-76002',file='AS data',k=0.8,auto_open=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5e70ac3c-2689-4c8e-9c6d-8579fdad4864",
   "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'][:8]\n",
    "Term = [x.split('Homo')[0] for x in Term]\n",
    "Pvalues =enr['Adjusted P-value'][:8]\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/Platelet/classic_en.pdf',format='pdf',bbox_inches='tight')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f5d99535-1058-47a3-8294-0945aeca70ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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03pNyXbhwgYCAAADat2+vXCOABg0a0KJFC+WxpqSkAA8Ksu+++47MzEx0Oh3t2rUr9vE+rrjrd+nSJSWHr69vsbNC/v7+SiEmhBA1UWpq6jOdX9LXcUgxVEGaNm3K8ePHldujRo0iIyODWbNmKfc93DP0qCZNmhAXF0enTp2K7PfhnqErV67wySef4OnpibW19TNl1Wg0NGjQgIiICFxcXGjevDnR0dEkJSXh4OAAgImJCSqVCgC1Wq0UKqNHj+by5ctERUUxc+bMYmctHl1OMhqNBAYGFirk1q5dS5s2bQgICCA5OZkFCxYox0xNTZW/q9VqNBpNoSyPKm2uojw+Vm5uLgBhYWEEBATQokULIiIiiImJKXWfxV0/IYQQVU/eWl9BPDw8yMvLK7D08fCXakn+/Oc/s3//fi5fvqzcd/z4cdLT0wu0c3Jyonv37vznP/8p1Ie7uzuHDh0C4NSpU8oykZubGydPniQnJwedTsfJkyeVZTA3Nzd27dqFu7s7bm5u/Prrr7Ro0UL5BV6cpKQknJ2dGTp0KJaWlty+fRszMzNlw3dR2rZty88//6zcjo+PBx7MENnY2AAQERFR4rhPUlSuR7m6unLkyBEAfv/99yKX0h6n0+moV68eer2egwcPPlO+h5ydnZWi+WEeIYQQlUtmhiqISqUiICCADRs2sHPnTiwtLTEzM+Ptt98u8Txra2smTZrExo0buXv3Lmq1Gnd3d9q3b1+o7YABA5gxYwaDBg3C3Nxcuf/1118nNDSUKVOm4OLioqyzOjo68uKLLzJ79mzgwQbqh/ua3N3d2bFjBy4uLpiZmaHVapVCqSSbNm0iMTEReFAANm/eHFtbW3bu3ElAQACDBg0qdM67777L2rVrmTZtGvn5+bi7uzN69GgGDBhAWFgY27dvf+a35ReV69y5c4Wu0cGDB3F2dsba2hpzc3N0Ol2xfQ4dOpTZs2djaWmJs7NziQVfaY0YMYLPP/+c7du30759eywsLJ65TyGEEGWjMj76ViMhaoi8vDzUajUmJiZcunSJ1atXExISUuk5cnJy0Gq1qFQqDh8+zOHDh5k+ffoTz7vR17MS0gkhRPVhsvrHZzpf9gwJ8ZjU1FSWLl2K0WhEo9HwwQcfVEmOuLg41q1bh9FopHbt2vztb3+rkhxCCFGTycyQEM8hmRkSQtQ0FTkzJBuohRBCCFGjSTEkhBBCiBpNiiEhhBBC1GiyZ0iI51BCQkJVRyiSra3tM39KbEWQXGUjucqmuuaC6putKnLJniEhhBBCiGJIMSSEEEKIGk2KISGEEELUaFIMCSGEEKJGkw3UQjyH5EMXhRA1jXzoohBCCCFEBZFiSAghhBA1mhRDQgghhKjRpBgSQgghRI0mxZAQQgghajQphoQQQghRo2mqOoB4fmzfvp1Dhw6hVqtRqVSMHj0aZ2dnVq5cSb9+/WjSpEm5jjds2DA2btxIWloa69evZ+rUqc/c55YtWzAzM6N///5PdX5iYiIbNmzgjz/+wMLCAgsLC15//XVat25NREQEGzduxMbGBr1eT9++ffH39wfg1KlTfP/99+Tk5GBqaoqHhwfDhw9ny5Yt7N27F0tLS/R6PUOGDMHX1/eZH6cQQojSk2JIlMqlS5f47bffCA4OxtTUlIyMDPR6PQBjxoyp0LFtbGzKpRB6Vrm5uQQFBTFs2DA8PR98zs/169eJi4ujdevWAPj4+DBy5Eju3r3LlClT8PT0JCMjg3Xr1jFz5kwcHBwwGAyEh4cr/fbt25f+/fuTmJjIzJkz8fb2RqORf5pCCFFZ5CeuKJU7d+5Qt25dTE1NAbC0tFSOzZ8/n2HDhuHk5MS+ffvYuXMnFhYWNG/eHFNTU0aOHElYWBjm5ubExcWRnp7OO++8g7e3NzqdjkWLFpGZmYler+eNN96gU6dOBcZOTk4mODiYxYsXExERQWRkJDk5Ody6dQsvLy/eeecdgGLHfty1a9eYM2cO9+7do3///vj7+7N8+XK8vLzw8vIC4LPPPqNLly4Fshw6dAhnZ2elEAJo1qwZzZo1KzSGlZUVjRo1IjU1lZ9//plBgwbh4OAAgFqtplevXoXOady4MVqtlszMTKysrEr93AghhHg2UgyJUmnXrh3btm1j4sSJvPDCC/j4+CizIQ+lpaXxr3/9i+DgYMzMzPjoo49o3ry5cjw9PZ2PPvqIhIQEgoOD8fb2xtTUlGnTpmFhYUFGRgZz5szB09MTlUpVbJb4+HgWLVqERqNh0qRJ/PnPf0atVpc49qOuX79OYGAgOp2OGTNm0KFDB1566SV2796Nl5cXWVlZXLx4kXHjxhU478aNGzg6Opbqet26dYtbt27RqFEjbty4Qb9+/Z54TlxcHI0bNy6yEAoPD1dmk4KCgkqVQQgh/pfY2tpWWN9SDIlSMTMzIzg4mPPnzxMTE8PSpUt5++23efHFF5U2sbGxuLu7U6dOHQC8vb1JTExUjnfq1Am1Wk2TJk24e/cuAEajkc2bN3P+/HlUKhVpaWncvXsXa2vrYrN4eHhgYWEBQJMmTUhNTSUjI6PEsR/l6emJVqtFq9XSpk0bYmNj8fLyYs2aNWRkZHDs2DE6d+6MiYlJidckJCSEpKQkGjduzLRp0wA4cuQIFy5cwNTUlNGjRyt5SvLvf/+biIgIEhMTmTFjRpFt/P39lf1HQghRE6Wmpj7T+SV9HYcUQ6LU1Go1bdq0oU2bNjRr1oyIiIgCxdCTPFxigwdFEDxYesrIyCAoKAiNRsO4cePIzc0tdT9qtZr8/PwyPY7HZ50e3u7evTsHDhzgyJEjjB07ttB5TZs25dy5c8rtgIAArly5wsaNG5X7Hu4ZelSTJk2Ii4ujRYsWReZ5uGcoMjKSFStW8Pnnn6PVasv0mIQQQjw9eWu9KJWEhIQCMy3x8fHY2dkVaNOqVSvOnz/P/fv3yc/P5/jx40/sNysrCysrKzQaDdHR0aSkpDxVvrKMffLkSXJzc7l37x4xMTE4OTkB8OKLL/Kf//wHoMh3xvn6+nLx4kUiIyOV+3Jycp6YrX///uzYsYOEhAQADAYDe/bsKdTO09MTJycn9u/f/8Q+hRBClB+ZGRKlotPpWLduHZmZmZiYmNCoUSNGjx5doI2NjQ2DBg1i9uzZ1KlTB3t7e2U5qzi+vr4EBwczdepUnJyclE3GZVWWsZs3b86CBQu4d+8eQ4YMwcbGBgBra2scHBwKbeB+SKvVMnPmTL7++mu++uorrKysMDc3Z/DgwSVma968OSNGjCA0NFSZ9erYsWORbV977TVCQ0Pp2bMnarX8v4oQQlQGlfHheoUQ5UCn02FmZkZ+fj4hISG89NJLyju0qvvYOTk5TJs2jeDg4CcWcVXtRl/PJzcSQoj/ISarf3ym82XPkKg0W7Zs4ezZs+Tl5dG2bdtiZ1mq29hnzpxh5cqV9O3bt9oXQkIIIcqXzAwJ8RySmSEhRE1TkTNDsilBCCGEEDWaFENCCCGEqNFkmUyI59DDt+lXN7a2ts/8wWgVQXKVjeQqm+qaC6pvtqrIJctkQgghhBDFkGJICCGEEDWaFENCCCGEqNGkGBJCCCFEjSYfuijEcyj//f5VHaFIt6o6QDEkV9mUNdezfv6LEFVNZoaEEEIIUaNJMSSEEEKIGk2KISGEEELUaFIMCSGEEKJGk2JICCGEEDWaFENCCCGEqNGkGKpE6enphIaGMn78eGbMmMGcOXM4ceJEmfoYNmxYubQpydWrV1mxYgUAkZGR/PDDDwD8/PPP7Nu3r9T9XLlyhXXr1j1TlqJs2bKFH3988FbesLAwjh07BsDKlSu5efNmuY9XEU6cOPHcZBVCiP918jlDlcRoNBISEoKfnx8TJ04EICUlhcjIyCpOVtiOHTsYPHgwAJ6ennh6egLQo0cP5s6dy0svvVSqfpycnHBycqqwnI8bM2ZMpY31rE6ePEnHjh1p0qRJVUcRQogaT4qhShIdHY1Go6FXr17KfXZ2dvTu3btQW51Ox6JFi8jMzESv1/PGG2/QqVOnAm1iYmLYsmULZmZmJCUl0aZNG0aNGoVa/WCyb/PmzURFRaHVagkICMDa2prIyEi2b9+OXq+nbt26TJgwAWtr6wL9Zmdnc+3aNVq0aAFAREQEV65cYeTIkdSqVQs7OztiY2Np1apVgfOOHj3Ktm3bUKvVWFhYsGDBAmJiYti1axczZ84kIyOD0NBQ7ty5g4uLC2fOnCEoKAidTsfChQtxdXXl0qVL2NjYMH36dLRaLeHh4ezduxe9Xk/Dhg2ZMGECtWrVKvYaz58/n2HDhuHk5MSwYcPo06dPoWuQlJTE559/jk6no1OnTvz73/9m48aNhfo6cOAAP/30E3q9HmdnZ0aNGkV4eDi3bt1SZt4evTZFtVer1UXmuHXrFpGRkZw7d45//etfTJ06laioKH799VdMTExo0qQJkyZNKvZxCiGEKF9SDFWSGzdu0LJly1K1NTU1Zdq0aVhYWJCRkcGcOXPw9PREpVIVaBcbG8uSJUuws7MjMDCQEydO4O3tTU5ODs7Ozrz55pts2rSJvXv3MmTIENzc3AgMDESlUrF3715+/PFHhg8fXqDPK1eu0LRp02KzOTk5cf78+ULF0LZt25gzZw42NjZkZmYWOm/r1q14eHgwaNAgTp8+XWC5LTExkYkTJzJmzBiWLFnCsWPH6N69O507d8bf3x+A7777jn379hVZPBaluGvw1Vdf0bt3b3x9fdmzZ0+R5968eZMjR47w8ccfo9FoWLNmDQcPHsTb25s5c+YoxdCRI0cYPHhwse39/PyKzeHp6UnHjh3x9vYGYOfOnSxfvhxTU9Mir194eDjh4eEABAUFleoaCFFZbG1tK2UcjUZTaWOVRXXNBdU3W3XLJcVQFVmzZg0XL15Eo9GwcOHCAseMRiObN2/m/PnzqFQq0tLSuHv3bqFZnFatWtGwYUMAunbtyoULF/D29kaj0dCxY0cAHB0dOXPmDABpaWksW7aMO3fuoNfradCgQaFc6enpWFpaFpvb0tKShISEQve7uroSFhZGly5d6Ny5c6HjFy5cICAgAID27dtTu3Zt5ViDBg2UmShHR0dSUlKABwXkd999R2ZmJjqdjnbt2hWb63HFXYNLly4pOXx9fYucFYqOjubq1avMmjULgNzcXCwtLbG0tKRhw4ZcunSJxo0b88cff+Dq6sovv/xSZPuScjyuWbNmfPbZZ3Tq1AkvL69Cx/39/ZXCUIjqJjU1tVLGsbW1rbSxyqK65oLqm60qctnb2xd7TIqhStK0aVOOHz+u3B41ahQZGRnKL9BHHTp0iIyMDIKCgtBoNIwbN47c3NxSj2ViYqLMIqnVavLz8wFYt24d/fr1w9PTk5iYGLZu3VroXK1WS15eXrF95+XlodVqC90/evRoLl++TFRUFDNnzizT7IWpqanyd7VarTzWsLAwAgICaNGiBREREcTExJS6z+KuQWkYjUb8/Px46623Ch3z8fHh6NGjODg44OXlhUqlKrF9aXPMmjWLc+fO8dtvv7Fjxw4+/fRTTExMSp1ZCCHE05N3k1USDw8P8vLyCizNFFfgZGVlYWVlhUajITo6WpkpeVxsbCzJyckYDAaOHj2Km5tbiRmysrKwsbEBYP/+/UW2cXBwICkpqdg+EhMTi1xGS0pKwtnZmaFDh2Jpacnt27cLHHd1deXIkSMA/P7770UuBT1Op9NRr1499Ho9Bw8efGL70nB2dlaK0od5HvfCCy9w7Ngx7t69C8D9+/eV58DLy4vIyEgOHz5M165dn9i+OObm5mRnZwNgMBhITU3Fw8ODt99+m6ysLHQ63bM/WCGEEKUiM0OVRKVSERAQwIYNG9i5cyeWlpaYmZnx9ttvF2rr6+tLcHAwU6dOxcnJCQcHhyL7bNWqFWvXrlU2UBe1vPKo119/nSVLllC7dm08PDxITk4u1MbBwYGsrCyys7MxNzcvdPzixYu8/vrrhe7ftGkTiYmJwIPCr3nz5pw7d67A2KGhoRw8eBBnZ2esra0xNzcv8Zf+0KFDmT17NpaWljg7OyvFw7MYMWIEn3/+Odu3b6d9+/ZYWFgUatOkSRPeeOMNPvnkE4xGIyYmJowcORI7Ozvq1KmDg4MDN2/eVPZNldS+OD4+PqxatYqffvqJSZMmsWLFCrKysgDo3bt3gWVEIYQQFUtlNBqNVR1ClN2j79Qqb7t378bc3JyePXsWuP/q1avs3r2bCRMmlLnPvLw81Go1JiYmXLp0idWrVxMSElJekUstJycHrVaLSqXi8OHDHD58mOnTp1d6jmd1o69nVUcQQmGy+sdKGUf2v5Rddc0me4ZEtderVy/lgwwfde/ePYYOHfpUfaamprJ06VKMRiMajYYPPvjgWWM+lbi4ONatW4fRaKR27dr87W9/q5IcQgghqg+ZGRLiOSQzQ6I6kZmh6pkLqm+26jYzJBuohRBCCFGjSTEkhBBCiBpN9gwJ8RyqrGWJspIp+bKRXEJUDzIzJIQQQogaTYohIYQQQtRoUgwJIYQQokaTYkgIIYQQNZpsoBbiOZT/fv+qjlCkW1UdoBiS6/+rrpvvhahKMjMkhBBCiBpNiiEhhBBC1GhSDAkhhBCiRpNiSAghhBA1mhRDQgghhKjRpBgSQgghRI0mxVAFSk9PJzQ0lPHjxzNjxgzmzJnDiRMnytTHsGHDyqVNSa5evcqKFStKbKPX65k3bx75+fml7nflypXcvHnzmbIV5eHjTU5OZurUqQBcuXKFdevWlftYFSEzM5NffvmlqmMIIYT4P6X6nKHdu3fj4eFBixYtuHTpEkuXLkWtVjNx4kRcXFwqOuNzyWg0EhISgp+fHxMnTgQgJSWFyMjIKk5W2I4dOxg8eHCJbTQaDR4eHhw5coRu3bqVqt8xY8aUR7xScXJywsnJqdLGexaZmZns2bOHV155paqjCCGEoJTF0L///W9eeuklADZv3ky/fv0wNzfnq6++4p///GeFBnxeRUdHo9Fo6NWrl3KfnZ0dvXv3LtRWp9OxaNEiMjMz0ev1vPHGG3Tq1KlAm5iYGLZs2YKZmRlJSUm0adOGUaNGoVY/mNzbvHkzUVFRaLVaAgICsLa2JjIyku3bt6PX66lbty4TJkzA2tq6QL/Z2dlcu3aNFi1aAHDv3j1CQ0NJS0vDxcWFM2fOEBQUhKWlJZ06dWLz5s2FiiGdTsfSpUtJS0vDYDAwZMgQfHx8mD9/PsOGDcPJyYl9+/axc+dOLCwsaN68OaampowcOZKwsDDMzc2Ji4sjPT2dd955B29v71Jdk8evz65du5g5cyZbtmwhNTWV5ORkUlNT6dOnD3369AFg27ZtHDx4EEtLS+rXr4+joyP9+xf8AMOMjAy+/PJLbt++DcBf//pXXFxcmDBhAosWLaJ27doAfPjhh3z00Ueo1epC7d3c3IrN8e2335KUlERAQABt27alX79+LFu2jKysLAwGA6NGjcLd3b3YxyqEEKJ8laoYysrKwsLCguzsbOLj45k7dy5qtZqvv/66ovM9t27cuEHLli1L1dbU1JRp06ZhYWFBRkYGc+bMwdPTE5VKVaBdbGwsS5Yswc7OjsDAQE6cOIG3tzc5OTk4Ozvz5ptvsmnTJvbu3cuQIUNwc3MjMDAQlUrF3r17+fHHHxk+fHiBPq9cuULTpk2V21u3bsXNzY3XXnuNqKgo9u3bpxxr1qwZsbGxhfKfPn2aevXqMWvWLODB6+VRaWlp/Otf/yI4OBgzMzM++ugjmjdvrhxPT0/no48+IiEhgeDgYLy9vUt9TYqTkJDAvHnzyM7OZtKkSfTq1Yv4+HiOHz9OSEgI+fn5zJgxA0dHx0Lnrl+/nn79+uHm5kZqaiqBgYEsXboUT09PTpw4QY8ePbh8+TJ2dnZYW1sTGhpaZPvicrz11lvcuHGDkJAQAHbt2kW7du0YPHgwBoOBnJycQpnCw8MJDw8HICgoqFTXQIii2NraPrGNRqMpVbvKJrnKrrpmq265SlUM1a9fn4sXL3Ljxg3c3d1Rq9VkZWUpsxLiydasWcPFixfRaDQsXLiwwDGj0cjmzZs5f/48KpWKtLQ07t69W2gWp1WrVjRs2BCArl27cuHCBby9vdFoNHTs2BEAR0dHzpw5AzwoQpYtW8adO3fQ6/U0aNCgUK709HQsLS2V2+fPn2fatGkAdOjQQZkFAVCr1Wg0GrKzszE3N1fub9asGRs3bmTTpk107Nix0KxGbGws7u7u1KlTBwBvb28SExOV4506dUKtVtOkSRPu3r1bpmtSnA4dOmBqaoqpqSlWVlbcvXuXixcv0qlTJ7RaLYByzR539uzZAnudsrKy0Ol0+Pj4sG3bNnr06MHhw4fp0qVLie2Ly/E4JycnVqxYgV6vx8vLS5mle5S/vz/+/v6leuxClCQ1NfWJbWxtbUvVrrJJrrKrrtmqIpe9vX2xx0pVDL3zzjssWbIEjUajbFiNioqiVatW5ZPwf1DTpk05fvy4cnvUqFFkZGQosyePOnToEBkZGQQFBaHRaBg3bhy5ubmlHsvExESZMVGr1com53Xr1tGvXz88PT2JiYlh69athc7VarXk5eWVeiy9Xo+pqWmB++zt7QkODiYqKorvvvuOF154gddee63UfT7an9FoBJ79mmg0//+l/eg1KQ2j0UhgYKBSND3k4uJCUlISGRkZnDx5kiFDhpTYvrQ5WrduzYIFC4iKiiIsLIx+/frh5+dX6rxCCCGeTammdjp06MCqVasICwtTlhW8vb2ZPn16hYZ7nnl4eJCXl8eePXuU+4r7ZZ6VlYWVlRUajYbo6GhSUlKKbBcbG0tycjIGg4GjR4/i5uZWYoasrCxsbGwA2L9/f5FtHBwcSEpKUm67u7tz6NAhAE6dOkVmZqZy7N69e9StW7fAL3h4MAOl1Wrp3r07/fv3Jy4ursDxVq1acf78ee7fv09+fn6BIrGk7KW5JmXh6urKb7/9Rm5uLjqdjqioqCLbtW3blp9//lm5HR8fD4BKpcLLy4sNGzbQpEkT6tatW2L74pibm5Odna3cTklJwdraGn9/f3r27MnVq1ef8hEKIYR4GqX+1vqcnBySkpKU6f+HXF1dyz3U/wKVSkVAQAAbNmxg586dWFpaYmZmxttvv12ora+vL8HBwUydOhUnJyccHByK7LNVq1asXbtW2UDt5eVVYobXX3+dJUuWULt2bTw8PEhOTi7UxsHBgaysLGXp6/XXXyc0NJQpU6bg4uJSYE03JiaGDh06FOrj+vXrbNq0CZVKhUajYdSoUQWO29jYMGjQIGbPnk2dOnWwt7fHwsKixOylvSZl0apVKzp27EhAQABWVlY0bdq0yBzvvvsua9euZdq0aeTn5+Pu7s7o0aMB8PHxYdasWYwdO7ZU7YtSt25dXF1dmTp1Ku3bt6dp06bs2rULExMTzMzMGD9+/DM/ViGEEKWnMj5clyjB/v37WbduHRqNptBSwJM+n0aUj0ffLVXedu/ejbm5OT179ix0bNy4cSxcuBBLS0s+/fRT3nrrrRLXXYuj0+kwMzMjPz+fkJAQXnrppScWcxXhYY6cnBzmzZvH6NGji9xEXd3d6OtZ1RHEc8pk9Y9PbCP7TMqmuuaC6pvtudwztGnTJqZOnUrbtm3LLZSoPnr16sWxY8dKbKPX6+nUqdNTFUIAW7Zs4ezZs+Tl5dG2bdsS3yZfkVatWsXNmzfJy8vDz8/vuSyEhBBClK9SzQz97W9/4/PPPy+0V0QIUTVkZkg8LZkZKn/VNRdU32zVbWaoVBuohw4dytdff01GRka5hRJCCCGEqA5KNdVjb2/Pli1bivw+pe+//77cQwkhhBBCVJZSFUOff/453bt3x8fHp8jPUhFCCCGEeF6Vqhi6f/8+Q4cOLfVXIQghKlZp9n1UBdmfUDbVNZcQNU2p9gy9+OKLHDhwoKKzCCGEEEJUulLNDMXGxvLzzz+zffv2Qt8NtWDBgorIJYQQQghRKUpVDPXs2bPID+QTQgghhHjePbEYMhgMREREMGfOnEJf0CmEEEII8bx7YjGkVqtJTk6mFJ/NKISoJPnv96/qCEW6VdUBilHTc1XXDfdCVBel2kD92muvsXr1alJSUjAYDAX+CCGEEEI8z0q1Z2jVqlUARb6jTD50UQghhBDPs1IVQ8uXL6/oHEIIIYQQVaJUxZCdnR3wYDP13bt3qVevXoWGEkIIIYSoLKUqhjIzM1mzZg3Hjh1Do9GwceNGIiMjiY2N5Y033qjojEIIIYQQFaZUG6hXr16NhYUFX3zxBRrNg/rJxcWFI0eOVGg4IYQQQoiKVqqZobNnz7Jq1SqlEAKwtLTk7t27FRZMVJ709HQ2bNjA5cuXqV27NhqNhgEDBuDl5UVMTAyLFi2iQYMG6PV6fHx8eP3114EHn0y+ceNG0tPTqVWrFo6Ojrz77rscPXqUjRs3YmNjQ15eHv7+/vTr16/QuBEREVy5coWRI0eyZ88eatWqhZ+fX4U9zpiYGHbt2sXMmTOLzfG4v//973zyySdPNUZkZCQ3b95k4MCBzxpdCCFEBSpVMWRhYcG9e/cK7BVKTU2VvUP/A4xGIyEhIfj5+TFx4kQAUlJSiIyMVNq4u7szc+ZMdDod06dPp2PHjtjY2LBkyRImTZqEi4sLAMeOHSM7OxsAHx8fRo4cyb1795g0aRLe3t7Y2toWm6NXr14V+CifXlkKocd5enri6elZjmmEEEJUhBKLoUOHDuHr60vPnj1ZvHgxb7zxBkajkUuXLrF582ZefvnlysopKkh0dDQajaZAMWJnZ0fv3r0LtTUzM8PR0ZGkpCROnjyJn5+fUggBeHt7Fzqnbt26NGrUiPT09BKLoS1btmBmZkb//v2JjY1l5cqVqFQq2rZty+nTp1m8eDHJycksX76cnJwcAN577z1cXV2JiYlh69at1K1blxs3buDo6MiECRNQqVScPn2ar776ilq1auHq6lrs+Ldv32b+/PmkpaXRrVs3ZfZr2LBhbNy48anGeHTGKSwsDHNzc+Li4khPT+edd97B29sbg8HAunXriI6Opn79+mg0Gnr06FHktRRCCFExSiyGVq9eja+vLwMGDECr1bJ27Vry8/NZsWIF/v7+9OnTp7Jyigpy48YNWrZsWaq29+7d4/LlywwZMoQjR46UakkrNTWV3NxcmjVrVupMK1as4IMPPsDFxYVvvvlGud/Kyoq///3vaLVaEhMTCQ0NJSgoCICrV6+yZMkS6tWrx9y5c7l48SKOjo6sWrWKf/zjHzRq1IilS5cWO2ZsbCyLFy+mVq1azJo1iw4dOuDk5FSgzbOOkZ6ezkcffURCQgLBwcF4e3tz4sQJUlJSWLJkCRkZGUyePJkePXoUOjc8PJzw8HAA5TELUVol/Y9IUTQaTZnPqQySq+yqa7bqlqvEYujhV3CoVCr69OkjxU8NsGbNGi5evIhGo2HhwoUAnD9/nunTp6NSqRgwYABNmzZ9Yj9Hjhzh/Pnz/PHHH4wcORKtVluq8TMzM8nOzlZmnHx9fYmKigIgPz+ftWvXEh8fj1qtJjExUTmvVatW1K9fH4AWLVqQnJyMmZkZDRo0oHHjxgB0795dKSge17ZtW+rWrQuAl5cXFy5cKFQMPesYnTp1Qq1W06RJE2W/3YULF/D29katVmNtbU2bNm2KPNff3x9/f/8nXD0hipaamlqm9ra2tmU+pzJIrrKrrtmqIpe9vX2xx0oshgwGA9HR0SV27uHh8XSpRLXQtGlTjh8/rtweNWoUGRkZzJo1S7nv4Z6hRzVp0oS4uDg6depUZL8P9wxduXKFTz75BE9PT6ytrZ8p6+7du7GysiIkJASj0cjbb7+tHHv0S4TVavUzf1WMSqUqdN+zjvHo+fJdf0IIUX2U+Nb6vLw8Vq5cyYoVK4r8s3LlysrKKSqIh4cHeXl57NmzR7kvNzf3ief9+c9/Zv/+/Vy+fFm57/jx46Snpxdo5+TkRPfu3fnPf/5Tqjy1a9fG3Nxc6ffw4cPKsaysLOrVq4darebAgQNPLEbs7e1JTk4mKSkJeLAHrjhnz57l/v375ObmcvLkyRL3Fz3tGEVxdXXl+PHjGAwG0tPTiYmJKdP5Qgghnl2JM0NmZmbyVRz/41QqFQEBAWzYsIGdO3diaWmJmZlZgVmXolhbWzNp0iQ2btzI3bt3UavVuLu70759+0JtBwwYwIwZMxg0aBDm5uZPzDRmzBhWrVqFSqWidevWWFhYAPDKK6+wePFiDhw4QLt27ahVq1aJ/Wi1Wj744AOCgoKoVasWbm5u6HS6Its6OTmxePFibt++Tbdu3QotkZXHGEXp3LkzZ8+eZcqUKdSvXx9HR0fl8QohhKgcKmMJ8/V//etf2bBhQ2XmEQKdToeZmRkAP/zwA3fu3OHdd9+t4lQV5+HjvXfvHrNnz+bjjz9+4pLijb7yln1ReiarfyxTe9lnUjbVNRdU32zP1Z4h2dcgqkJUVBQ7duzAYDBga2vLuHHjqjpShQoKCiIzMxO9Xs+QIUOeeW+VEEKIsimxGPr6668rK4cQCh8fH3x8fKo6RqWZP39+VUcQQogarVTfTSaEEEII8b9KiiEhhBBC1Gil+m4yIUT1UtYNsZVFNmuWTXXNJURNIzNDQgghhKjRpBgSQgghRI0mxZAQQgghajQphoQQQghRo8kGaiGeQ/nv96/qCEW6VdUBilHRuarrhnYhROnIzJAQQgghajQphoQQQghRo0kxJIQQQogaTYohIYQQQtRoUgwJIYQQokaTYkgIIYQQNZoUQxUsPT2d0NBQxo8fz4wZM5gzZw4nTpwoUx/Dhg0rlzYluXr1KitWrCj2eEZGBoGBgWXqc+HChWRmZj5TrsclJyczdepUAGJiYggKCgIgMjKSH374oVzHqijJyckcOnSoqmMIIYT4P/I5QxXIaDQSEhKCn58fEydOBCAlJYXIyMgqTlbYjh07GDx4cLHHLS0tqVevHhcuXMDNza1Ufc6aNau84j2Rp6cnnp6elTbes0hJSeHQoUP4+vpWdRQhhBBIMVShoqOj0Wg09OrVS7nPzs6O3r17F2qr0+lYtGgRmZmZ6PV63njjDTp16lSgTUxMDFu2bMHMzIykpCTatGnDqFGjUKsfTPBt3ryZqKgotFotAQEBWFtbExkZyfbt29Hr9dStW5cJEyZgbW1doN/s7GyuXbtGixYtADh37hzr168HQKVSsWDBAszNzenUqROHDh0qVAzduXOHZcuWkZWVhcFgYNSoUbi7uzNu3DgWLlyIpaUl27Zt4+DBg1haWlK/fn0cHR3p378/8+fPp1WrVsTExJCVlcWYMWNwd3cnOTmZ5cuXk5OTA8B7772Hq6trsdc6IiKCK1euMHLkSMLCwjA3NycuLo709HTeeecdvL29MRgMrFu3jujoaOrXr49Go6FHjx54e3sX6CspKYm1a9eSkZFBrVq1+OCDD6hXrx7Tpk1j+fLlqNVqdDodkydP5vPPPyc1NbVQewcHh2JzfPvtt9y8eZOAgAD8/Pxo164dX3zxBXq9HqPRyNSpU2ncuHEJrywhhBDlSYqhCnTjxg1atmxZqrampqZMmzYNCwsLMjIymDNnDp6enqhUqgLtYmNjWbJkCXZ2dgQGBnLixAm8vb3JycnB2dmZN998k02bNrF3716GDBmCm5sbgYGBqFQq9u7dy48//sjw4cML9HnlyhWaNm2q3P7xxx8ZOXIkbm5u6HQ6TE1NAXBycuK7774rlP3QoUO0a9eOwYMHYzAYlALm0czHjx8nJCSE/Px8ZsyYgaOjo3LcYDCwcOFCoqKi2LZtG3PnzsXKyoq///3vaLVaEhMTCQ0NVZbESiM9PZ2PPvqIhIQEgoOD8fb25sSJE6SkpLBkyRIyMjKYPHkyPXr0KHTul19+yfvvv0/jxo25fPkya9asYd68ebRo0YJz587h4eFBVFQU7dq1Q6PRFNu+uBxvvfUWu3btYubMmQCsW7eOPn360K1bN/R6PQaDoVCm8PBwwsPDAcp0HUTlsLW1farzNBrNU59bkSRX2VTXXFB9s1W3XFIMVaI1a9Zw8eJFNBoNCxcuLHDMaDSyefNmzp8/j0qlIi0tjbt37xaaxWnVqhUNGzYEoGvXrly4cAFvb280Gg0dO3YEwNHRkTNnzgCQlpbGsmXLuHPnDnq9ngYNGhTKlZ6ejqWlpXLbzc2Nr7/+Gl9fXzp37kz9+vWBB0tld+7cKXS+k5MTK1asQK/X4+XlpcwwPXTx4kU6deqEVqsFUHI+5OXlpeROTk4GID8/n7Vr1xIfH49arSYxMbH4C1uETp06oVaradKkCXfv3gVQrpVarcba2po2bdoUOk+n03Hx4kWWLFmi3KfX6wHw8fHhyJEjeHh4cPjwYV555ZUS2xeX43EuLi5s376d27dv07lz5yJnhfz9/fH39y/TNRCVJzU19anOs7W1fepzK5LkKpvqmguqb7aqyGVvb1/sMSmGKlDTpk05fvy4cnvUqFFkZGQUuZfm0KFDZGRkEBQUhEajYdy4ceTm5pZ6LBMTE2UWSa1Wk5+fDzyYdejXrx+enp7ExMSwdevWQudqtVry8vKU2wMHDqRDhw5ERUUxd+5c5syZg4ODA3l5eUpB86jWrVuzYMECoqKiCAsLo1+/fvj5+ZU6+8OZJ7VarcyK7N69GysrK0JCQjAajbz99tul7u/RPuFBoVlaBoOB2rVrExISUuiYp6cnmzdv5v79+8TFxeHh4YFOpyu2fWlz+Pr60qpVK6Kioli4cCGjR4/Gw8Oj1JmFEEI8G3k3WQXy8PAgLy+PPXv2KPcVV+BkZWVhZWWFRqMhOjqalJSUItvFxsaSnJyMwWDg6NGjT9zMnJWVhY2NDQD79+8vso2DgwNJSUnK7aSkJJo1a8bAgQNxcnLijz/+ACAxMbHActpDKSkpWFtb4+/vT8+ePbl69WqB466urvz222/k5uai0+mIiooqMfPD3PXq1UOtVnPgwIEil47KytXVlePHj2MwGEhPTycmJqZQGwsLCxo0aMDRo0eBBwVMfHw8AGZmZjg5ObF+/Xo6duyIWq0usX1xzM3Nyc7OVm7funWLhg0b0qdPHzw9Pbl27dozP1YhhBClJzNDFUilUhEQEMCGDRvYuXMnlpaWmJmZFTnL4evrS3BwMFOnTsXJyQkHB4ci+2zVqhVr165VNlA/XGIqzuuvv86SJUuoXbs2Hh4eyjLUoxwcHMjKyiI7Oxtzc3P+85//EBMTg0qlokmTJvzpT38CHmwI79ChQ6HzY2Ji2LVrFyYmJpiZmTF+/PhCmTt27EhAQABWVlY0bdoUCwuLEnO/8sorLF68mAMHDtCuXTtq1apVYvvS6Ny5M2fPnmXKlCnKJu6icnz44YesXr1a2XjetWtXZenPx8eHJUuWMH/+/FK1L0qzZs1Qq9XKBmq9Xs+BAwcwMTHB2tq6xHf1CSGEKH8qY1nWEESVelh0PNx4W552796Nubk5PXv2LLbNvHnzCAgIoE6dOmXuX6fTYWZmRk5ODvPmzWP06NEFNlFXloc57t27x+zZs/n4448L7ct6Htzo+3x8jEBNYbL6x6c6T/ZzlI3kKrvqmk32DIlqqVevXhw7dqzY4xkZGfTt2/epCiGAVatWcfPmTfLy8vDz86uSQggevBPr4ccXDBky5LkshIQQQpQvmRkS4jkkM0PVi8wMVQ7JVXbVNVt1mxmSDdRCCCGEqNGkGBJCCCFEjSZ7hoR4Dj3tskxFkyl5IcTzSGaGhBBCCFGjSTEkhBBCiBpNiiEhhBBC1GhSDAkhhBCiRpMN1EI8h/Lf71/VEYp0q6oDFKO8c1XXDexCiKcjM0NCCCGEqNGkGBJCCCFEjSbFkBBCCCFqNCmGhBBCCFGjSTEkhBBCiBpNiiEhhBBC1GhSDFWw9PR0QkNDGT9+PDNmzGDOnDmcOHGiTH0MGzasXNqU5OrVq6xYsaLY49evXycsLKxMff79739/pkxFiYmJISgoCICIiAjWrl0LwJ49e9i/f3+5j1cR4uPjiYqKquoYQggh/o98zlAFMhqNhISE4Ofnx8SJEwFISUkhMjKyipMVtmPHDgYPHlzs8WbNmpGWlkZqaiq2tral6vOTTz4pr3hP1KtXr0ob61nFx8dz5coVOnToUNVRhBBCIMVQhYqOjkaj0RT4RW1nZ0fv3r0LtdXpdCxatIjMzEz0ej1vvPEGnTp1KtAmJiaGLVu2YGZmRlJSEm3atGHUqFGo1Q8m+DZv3kxUVBRarZaAgACsra2JjIxk+/bt6PV66taty4QJE7C2ti7Qb3Z2NteuXaNFixYALFy4kLS0NACSk5N59913efHFF+nYsSOHDx9mwIABBc6/ceMGX3zxBXq9HqPRyNSpU2ncuDHDhg1j48aNGAwG1q1bR3R0NPXr10ej0dCjRw+8vb0ZN24cfn5+/Pbbb+j1eqZMmYKDgwOxsbGsX7+evLw8tFotY8eOxd7evthr/fC69O/fn/nz59OqVStiYmLIyspizJgxuLu7k5OTQ1hYGDdu3MDe3p47d+4wcuRInJycCvQVFxfHhg0b0Ol0WFpaMnbsWLKysli+fDkLFy5UrktwcDCLFy8usn29evWKzOHs7Mz3339Pbm4uFy5cYNCgQVhbW7N+/XoAVCoVCxYswNzcvNjHKoQQonxJMVSBbty4QcuWLUvV1tTUlGnTpmFhYUFGRgZz5szB09MTlUpVoF1sbCxLlizBzs6OwMBATpw4gbe3Nzk5OTg7O/Pmm2+yadMm9u7dy5AhQ3BzcyMwMBCVSsXevXv58ccfGT58eIE+r1y5QtOmTZXbs2bNAh4UBV988QVeXl4AODo68sMPPxQqhn799Vf69OlDt27d0Ov1GAyGAsdPnDhBSkoKS5YsISMjg8mTJ9OjRw/leN26dQkODuaXX35h165djBkzBnt7ez766CNMTEw4c+YM3377LdOmTSvVtQQwGAwsXLiQqKgotm3bxty5c/nll1+oU6cOS5cu5fr160yfPr3QeXq9nnXr1jF9+nQsLS05cuQImzdvZuzYsej1epKTk2nQoAFHjhzBx8enxPbF5Rg6dChXrlxh5MiRAAQFBTFy5Ejc3NzQ6XSYmpoWyhUeHk54eLjSXlSt0s6OPolGoym3vsqT5Cqb6poLqm+26pZLiqFKtGbNGi5evIhGo1FmGB4yGo1s3ryZ8+fPo1KpSEtL4+7du4VmcVq1akXDhg0B6Nq1KxcuXMDb2xuNRkPHjh2BB0XLmTNnAEhLS2PZsmXcuXMHvV5PgwYNCuVKT0/H0tKywH0ZGRl8/vnnTJ48GQsLCwCsrKy4c+dOofNdXFzYvn07t2/fpnPnzjRu3LjA8YcZ1Wo11tbWtGnTpsDxzp07K7kf7qfKysoiLCyMpKQkAPLz84u5qkV7tIBLTk5WcvTp0wd4sOzXvHnzQuclJCRw48YNPv74Y+BBMVOvXj0AunTpwpEjRxg4cCBHjx5l0qRJJbYvLsfj3Nzc+Prrr/H19aVz587Ur1+/UBt/f3/8/f3LdA1ExUlNTS2Xfmxtbcutr/IkucqmuuaC6putKnKVtLogxVAFatq0KcePH1dujxo1ioyMDGXm5VGHDh0iIyODoKAgNBoN48aNIzc3t9RjmZiYKLNIarVaKR7WrVtHv3798PT0JCYmhq1btxY6V6vVkpeXp9w2GAyEhoby2muv0axZM+X+h0tWj/P19aVVq1ZERUWxcOFCRo8ejYeHR6mzazSaQrm///572rRpQ0BAAMnJySxYsKDU/QHK7IparS40U/UkTZo0ITAwsND9Pj4+LF26VClwGjduzPXr14ttX9ocAwcOpEOHDkRFRTF37lzmzJmDg4NDmTILIYR4evJusgrk4eFBXl4ee/bsUe4rrsDJysrCysoKjUZDdHQ0KSkpRbaLjY0lOTkZg8HA0aNHcXNzKzFDVlYWNjY2AMW+28rBwUGZgQH45ptvaNasGV27di3QLiEhocBy2kO3bt2iYcOG9OnTB09PT65du1bguKurK8ePH8dgMJCenk5MTEyJmR/PHRER8cT2peHm5sbRo0cBuHnzJtevXy/Uxt7enoyMDC5dugQ8WDa7ceMGAI0aNUKtVvOvf/0LHx+fJ7YvjpmZGdnZ2crtpKQkmjVrxsCBA3FycuKPP/549gcrhBCi1GRmqAKpVCoCAgLYsGEDO3fuxNLSEjMzM95+++1CbX19fQkODmbq1Kk4OTkVOzPQqlUr1q5dq2ygfjhLUZzXX3+dJUuWULt2bTw8PIpcqnFwcCArK4vs7GzMzc3ZtWsXTZs2JSAgAIChQ4cqM0tFvQPq6NGjHDhwABMTE6ytrQu9K61z586cPXuWKVOmUL9+fRwdHZWlt+IMGDCAsLAwtm/fXm7vuurVqxdhYWFMnjwZBwcHmjRpUiiHRqNh6tSprF+/nqysLPLz8+nTp49SBHbp0oVNmzaxfPnyUrUvioeHBzt37iQgIIBBgwZx4cIFYmJiUKlUNGnShD/96U/l8niFEEKUjspoNBqrOoQonZiYGHbt2sXMmTPLve/du3djbm5Oz549izyel5fH/PnzlU3NZaXT6TAzM+PevXvMnj2bjz/+uNB+qIpmMBjQ6/VotVqSkpL4+OOPCQ0NVZbpnic3+npWdYQazWT1j+XSj+znKBvJVXbVNZvsGRLVUq9evTh27Fixx1NTU3nrrbeeqhCCB++AevixAUOGDKn0QgggJyeHBQsWkJ+fj9FoZNSoUc9lISSEEKJ8ycyQEM8hmRmqWjIzVDUkV9lV12zVbWZINlALIYQQokaTYkgIIYQQNZoUQ0IIIYSo0WT3qBDPofLas1LeZH+CEOJ5JDNDQgghhKjRpBgSQgghRI0mxZAQQgghajQphoQQQghRo8kGaiGeQ/nv96/qCEW6VdUBilGWXNV1c7oQouLIzJAQQgghajQphoQQQghRo0kxJIQQQogaTYohIYQQQtRoUgwJIYQQokaTYkgIIYQQNVqlFENDhw4lICCAqVOnsmTJEnJycipj2GcSHx9PVFSUcjsyMpIffvih1OcfPXqUyZMns2DBgnLLlJmZyS+//KLcTktLY/HixeXWf1HOnz/PlClTCAgIIDc3t8CxYcOGKX+Piopi4sSJpKSkFNvXnj172L9//1PlSE5O5tChQ091bmV5HjIKIYQorFKKIa1WS0hICIsXL0aj0fDrr78WOJ6fn18ZMcokPj6eU6dOKbc9PT0ZOHBgqc/ft28fH3zwAfPmzSu3TJmZmezZs0e5bWNjw9SpU8ut/6IcPHiQgQMHEhISglarLbLN2bNnWb9+PbNmzcLOzq7Yvnr16oWfn99T5UhJSXmmQsNoNGIwGJ76/NJ4mozV8bUvhBA1TaV/6KKbmxvXr18nJiaG77//ntq1a5OQkMDSpUv55ptvOHfuHHl5ebzyyiu8/PLL3Llzh2XLlpGVlYXBYGDUqFEkJiZy/fp1RowYAUB4eDg3b96kT58+LFy4EFdXVy5duoSNjQ3Tp09Hq9USHh7O3r170ev1NGzYkAkTJlCrVi3CwsIwNTUlLi6O7Oxshg8fTrt27fj+++/Jzc3lwoULDBo0iNzcXK5cucLIkSNJT09n9erVJCcnAzBq1ChcXV2Vx7ht2zYuXLjAihUr8PT0pGnTpsq5AEFBQbz66qu0adOGYcOG0adPH6KiotBqtQQEBGBtbV3kGD/99BNJSUkEBATQtm1bXnnlFYKDg1m8eDG5ubmsWbOGK1euYGJiwvDhw/Hw8CAiIoLIyEhycnK4desWXl5evPPOO4Wel7Nnz7Jx40by8/NxcnLi/fff58CBAxw9epTff/+d06dP8+GHHxY679y5c6xatYpZs2bRqFEj5fko6lpv2bIFMzMz+vfvz/z582nVqhUxMTFkZWUxZswY3N3dSU5OZvny5crs4XvvvYerqyvffvstN2/eJCAgAD8/P/r06VPk6+VRycnJBAYG4uzsTFxcHLNmzeLo0aMcPXqUvLw8vLy8+Mtf/gLA/v372bVrFyqVimbNmjFhwgQyMjL48ssvuX37NgB//etfcXNzY8uWLdy6dYukpCTu3btH//798ff3L5SxV69exT4nx48fR6fTYTAYmDRpUqHXuLu7+1P/GxNCCFE2lVoM5efnc/r0adq3bw/A1atXWbx4MQ0aNCA8PBwLCwsWLlxIXl4ec+fOpV27dhw/fpx27doxePBgDAYDOTk5tGzZkh07dvDOO++g0WiIiIhg9OjRACQmJjJx4kTGjBnDkiVLOHbsGN27d6dz5874+/sD8N1337Fv3z569+4NPPg/+n/+85/cunWLBQsW8NlnnzF06NACBUxERITyONavX0/r1q0JCAjAYDCg0+kKPM7XXnuN6Ohohg0bhpOTU4FzH5eTk4OzszNvvvkmmzZtYu/evQwZMqTIMd566y1u3LhBSEgIgFIoAcry2eLFi/njjz/45JNPCA0NBR7Mci1atAiNRsOkSZP485//jK2trXJubm4uX3zxBXPnzsXe3p7ly5ezZ88e+vbty4ULF+jYsSPe3t6Fsuv1ekJCQpg/fz4ODg7K/SVd60cZDAYWLlxIVFQU27ZtY+7cuVhZWfH3v/8drVZLYmIioaGhBAUF8dZbb7Fr1y5mzpwJUOzrpUGDBgXGSEpKYty4cbi4uPD777+TmJjIP//5T4xGI4sWLeLcuXPUrVuX7du38/HHH2Npacn9+/eV57lfv364ubmRmppKYGAgS5cuBeD69esEBgai0+mYMWMGHTp0KJRx165dxT4nV69e5dNPP6VOnTrs2rWr0Gv8ceHh4YSHhwMPimlRcR79t1HRNBpNpY5XWpKrbKprLqi+2apbrkophnJzcwkICADA3d2dl156iYsXL9KqVSvll9fvv//O9evXOXbsGABZWVkkJibi5OTEihUr0Ov1eHl50aJFCwDatGlDVFQUDg4O5Ofn06xZM5KTk2nQoIHSxtHRUdnDcuPGDb777jsyMzPR6XS0a9dOydelSxfUajWNGzemYcOGJCQklPh4oqOjGT9+PABqtRoLC4unvjYajYaOHTsqec+cOVPsGA9/SRflwoULSsHh4OCAnZ0diYmJAHh4eCgZmzRpQmpqaoEXYUJCAg0aNMDe3h4APz8/fvnlF/r27VtidhMTE1xdXdm3bx/vvvuucn9J1/pRXl5eyuN+WNjl5+ezdu1a4uPjUavVymN4XHGvl8eLIVtbW1xcXJRzzpw5w/Tp0wHQ6XQkJSVx7do1vL29sbS0BKBOnTrAg9mymzdvKn1lZWUpha+npydarRatVkubNm2IjY2ldu3aBcYu6Tlp27atMk5xr/FH+fv7KwWmqFipqamVNpatrW2ljldakqtsqmsuqL7ZqiLXw99xRamUYujhnqHH1apVS/m70Wjk3XffVWaNHrVgwQKioqIICwujX79++Pn50bNnT3bs2IG9vT0vvvii0tbU1FT5u1qtVjb9hoWFERAQQIsWLYiIiCAmJkZpp1KpyuFRFk+tVmM0GpXbeXl5yt9NTEyU8dVqdYXsIXn8mpTXGCqVismTJ/PRRx+xfft2Bg8eDJR8rYvKpVarlf08u3fvxsrKipCQEIxGI2+//XaR55b0enmUmZlZgdsDBw4stJz2008/FTtGYGBgkXulHn/NlPU19Ohrv3Xr1kW+xoUQQlSOavPW+vbt27Nnzx70ej3wYLZCp9ORkpKCtbU1/v7+9OzZk6tXrwLg7OzM7du3OXz4MF27dn1i/zqdjnr16qHX6zl48GCBY8eOHcNgMJCUlMStW7ewt7fHzMyM7OzsIvt64YUXlI3MBoOBrKysEsdu0KAB8fHxGAwGUlNTiY2NfWLeosYwNzcvNpO7u7vyuBISEkhNTS2xCn6Uvb09ycnJJCUlAXDgwAFat25dqnNr1arFrFmzOHToEPv27QNKvtZPkpWVRb169VCr1Rw4cEApkh5/7MW9XkrSrl07/vvf/yrt0tLSuHv3Lh4eHhw7dox79+4BKDNwbdu25eeff1bOj4+PV/5+8uRJcnNzuXfvHjExMTg5ORXKWNrnpLjXuBBCiMpRbb61/qWXXiI5OZkZM2YAYGlpSUBAADExMezatQsTExPMzMyUpSN4sLwVHx+vLDeUZOjQocyePRtLS0ucnZ0L/NKqX78+s2fPJjs7m/fffx+tVouHhwc7d+4kICCAQYMGFehrxIgRfPnll+zbtw+1Ws3777+vLMUUxdXVlQYNGjBlyhQcHBxo2bLlE/MWN4arqytTp06lffv2vPLKK0r7h5t1p06diomJCWPHji0wI1QSrVbL2LFjWbJkibKB+vHZk5LUqVOH2bNnM2/ePCwtLUu81k/yyiuvsHjxYg4cOEC7du2UGZRmzZqhVqsLbKAu6vVSknbt2vHHH38wZ84c4MGs0YQJE2jatCmDBg1i/vz5qNVqWrRowbhx43j33XdZu3Yt06ZNIz8/H3d3d2VvWvPmzVmwYAH37t1jyJAh2NjYYGlpWSBjaZ+Tkl7jQgghKp7K+Oj6zXMmKCiIvn378sILLzx1H2FhYcVuEBaiKI++K66q3OjrWWVj/68zWf1jpY0l+znKRnKVXXXNVt32DFWbZbKyyMzMZOLEiWi12mcqhIQQQgghqs0yWVnUrl1beYvysxo3bly59CNqjoefTSSEEOJ/w3M5MySEEEIIUV6kGBJCCCFEjfZcLpMJUdNV5ibfspDNmkKI55HMDAkhhBCiRpNiSAghhBA1mhRDQgghhKjRpBgSQgghRI0mxZAQQgghajQphoQQQghRo0kxJIQQQogaTYohIYQQQtRoUgwJIYQQokZTGY1GY1WHEEIIIYSoKjIzJMRzZubMmVUdoVjVNZvkKhvJVTbVNRdU32zVLZcUQ0IIIYSo0aQYEkIIIUSNJsWQEM8Zf3//qo5QrOqaTXKVjeQqm+qaC6pvtuqWSzZQCyGEEKJGk5khIYQQQtRoUgwJIYQQokbTVHUAIUTRTp8+zfr16zEYDPTs2ZOBAwcWOJ6Xl8fy5cuJi4ujbt26TJo0iQYNGlRoptTUVMLCwkhPT0elUuHv70+fPn0KtImJiWHRokVKls6dO/Paa69VaK6Hxo0bh5mZGWq1GhMTE4KCggocNxqNrF+/nlOnTlGrVi3Gjh2Lo6NjhWZKSEhg6dKlyu3k5GT+8pe/0LdvX+W+yrpmX3zxBVFRUVhZWbF48WIA7t+/z9KlS0lJScHOzo7JkydTp06dQudGRESwfft2AAYPHsyLL75Yobk2btzIb7/9hkajoWHDhowdO5batWsXOvdJz3l559qyZQt79+7F0tISgDfffJMOHToUOvdJ/34rItvSpUtJSEgAICsrCwsLC0JCQgqdW1HXrLifD9XhNfZERiFEtZOfn28cP368MSkpyZiXl2ecNm2a8caNGwXa/Pzzz8ZVq1YZjUaj8dChQ8YlS5ZUeK60tDTjlStXjEaj0ZiVlWX88MMPC+WKjo42Lly4sMKzFGXs2LHGu3fvFnv8t99+MwYGBhoNBoPx4sWLxlmzZlViugfP66hRo4zJyckF7q+saxYTE2O8cuWKccqUKcp9GzduNO7YscNoNBqNO3bsMG7cuLHQeffu3TOOGzfOeO/evQJ/r8hcp0+fNur1eiVjUbmMxic/5+Wd6/vvvzfu3LmzxPNK8++3IrI9asOGDcatW7cWeayirllxPx+qw2vsSWSZTIhqKDY2lkaNGtGwYUM0Gg0+Pj6cPHmyQJvIyEjl/5y8vb2Jjo7GWMHvh6hXr54yk2Jubo6DgwNpaWkVOmZ5ioyMpHv37qhUKlxcXMjMzOTOnTuVNv7Zs2dp1KgRdnZ2lTbmo1q3bl3o/8hPnjyJn58fAH5+foVeZ/BglqNt27bUqVOHOnXq0LZtW06fPl2hudq1a4eJiQkALi4uVfI6KypXaZTm329FZjMajRw9epSuXbuW65hPUtzPh+rwGnsSWSYTohpKS0ujfv36yu369etz+fLlYtuYmJhgYWHBvXv3lOn7ipacnMzVq1dp1apVoWOXLl0iICCAevXqMWzYMJo2bVopmQACAwMBePnllwu9fTctLQ1bW1vldv369UlLS6NevXqVku3w4cPF/oKqqmt29+5d5fFbW1tz9+7dQm0efz3a2NhUanGyb98+fHx8ij1e0nNeEX755RcOHDiAo6Mjw4cPL1SUlObfb0U6f/48VlZWNG7cuNg2FX3NHv358Dy8xqQYEkKUmU6nY/HixYwYMQILC4sCx1q2bMkXX3yBmZkZUVFRhISE8Nlnn1VKro8//hgbGxvu3r3LJ598gr29Pa1bt66UsZ9Er9fz22+/8dZbbxU6VpXX7FEqlQqVSlXp45Zk+/btmJiY0K1btyKPV/Zz3qtXL2U/1/fff8/XX3/N2LFjK2y8p1FS0Q0Vf81K+vlQHV9jIO8mE6JasrGx4fbt28rt27dvY2NjU2yb/Px8srKyqFu3boVn0+v1LF68mG7dutG5c+dCxy0sLDAzMwOgQ4cO5Ofnk5GRUeG5AOUaWVlZ0alTJ2JjYwsdT01NVW4XdV0ryqlTp2jZsiXW1taFjlXlNbOyslKWCu/cuVPkzOLjr8e0tLRKuW4RERH89ttvfPjhh8X+An3Sc17erK2tUavVqNVqevbsyZUrV4rM9KR/vxUlPz+fEydOlDiTVpHXrKifD9X5NfaQFENCVENOTk4kJiaSnJyMXq/nyJEjeHp6FmjTsWNHIiIiADh27Bht2rSp8P/jMhqNrFy5EgcHB/r161dkm/T0dGXvUmxsLAaDoVKKNJ1OR3Z2tvL3M2fO0KxZswJtPD09OXDgAEajkUuXLmFhYVEtlsiq6prBg2uyf/9+APbv30+nTp0KtWnfvj2///479+/f5/79+/z++++0b9++QnOdPn2anTt3MmPGDGrVqlVkm9I85+Xt0T1mJ06cKHI5szT/fivK2bNnsbe3L7Dk9KiKvGbF/Xyorq+xR8knUAtRTUVFRbFhwwYMBgM9evRg8ODBfP/99zg5OeHp6Ulubi7Lly/n6tWr1KlTh0mTJtGwYcMKzXThwgX+8Y9/0KxZM6XwevPNN5XZll69evHzzz+zZ88eTExM0Gq1DB8+HFdX1wrNBXDr1i0+/fRT4MH/Hfv6+jJ48GD27NmjZDMajaxdu5bff/8drVbL2LFjcXJyqvBsOp2OsWPHsnz5cmXZ4NFclXXNli1bxrlz57h37x5WVlb85S9/oVOnTixdupTU1NQCb3u+cuUKv/76K2PGjAEe7NvZsWMH8OBtzz169KjQXDt27ECv1yv7cZydnRk9ejRpaWmsWrWKWbNmFfucV2SumJgY4uPjUalU2NnZMXr0aOrVq1cgFxT977c8FZXtpZdeIiwsDGdnZ3r16qW0raxrVtzPB2dn5yp/jT2JFENCCCGEqNFkmUwIIYQQNZoUQ0IIIYSo0aQYEkIIIUSNJsWQEEIIIWo0KYaEEEIIUaNJMSSEEE9py5YtVfJJ0UWZO3cuV69efapzY2JilLc3A0yZMoWYmJjyivZUkpOT+ctf/kJ+fn6VZYiIiGDu3LnP3E9eXh6TJk2qtA/SFGUnX8chhBBVTK/XExoaSlxcHCkpKcybN482bdoox41GI9988w379u0D4KWXXuLtt99WPsslMjISMzMzWrZsWaDfiIgIvvjiCyZNmlTiJxI/bsmSJc/8mLZs2UJSUhIffvjhM/dVlHHjxpGeno5arcbMzIz27dszcuRI5ZO8qxNTU1N69OjBDz/8wPDhw6s6jiiCzAwJIUQ14ObmxoQJE4r8uo7w8HBOnjxJSEgIn376Kb/99hu//vqrcvzXX3+le/fuhc7bv38/derUUT7993/NjBkz2LhxI8HBwcTFxfGvf/2rqiMVy9fXl/3795OXl1fVUUQRZGZICCHKSWRkJN9++y1paWm0aNGCUaNG0aRJEwDi4uJYuXIlSUlJtG/fHpVKRePGjXnjjTfQaDT07dsXALW68P+j7t+/n1dffVX5ioVXX32VvXv30qtXL/R6PdHR0YwePbrAOSkpKZw7d47JkyezbNky0tPTlUIrNzeX1atXExkZibW1daFP+h03bhwffPABbdu2JSwsjPr16/PGG28AD5bUPv/8c1auXAnADz/8wE8//UR2djb16tVj1KhR5OfnK58kfPLkSRo1akRISAhZWVls2LCBU6dOoVKp6NGjB3/5y19Qq9UYDAY2bdrE/v37MTc3L/brXopiY2ND+/btuXHjRqFjq1evplatWgVmZBYtWkTr1q3p168fP/zwA3v37uXu3bvUr1+fN998Ey8vr0L9JCcnM378eDZv3oyJiQkA8+fPp1u3bvTs2RN48AnKu3btIj09nVatWjF69Gjs7OyAB99cX7t2bS5fvlxtvjxY/H8yMySEEOUgISGB0NBQRowYwZo1a/jTn/5EcHAwer0evV7Pp59+yosvvsi6devo2rUrJ06cKHXfN27coHnz5srt5s2bK7/4ExMTUavVhb6Lav/+/Tg6OuLt7Y2DgwMHDx5Ujm3dupVbt27x+eefM2fOnKeeOUpISOCXX35h4cKFfP3118yZMwc7Ozvat2/PoEGD6NKlCxs3biQkJASAsLAwTExM+Oyzz1i0aBG///47e/fuBR7MfkVFRREcHExQUBDHjx8vdY7U1FROnTpFixYtCh3r2rUrR48eVb777eH3Xj1cNmzYsCELFizgq6++4vXXX+fzzz8v8P1jpXXy5El27NjB1KlTWbNmDW5uboSGhhZo4+DgQHx8fJn7FhVPiiEhhCgHR44c4U9/+hNt27ZFo9Hw6quvkpuby8WLF7l06RL5+fn07t0bjUZD586dadWqVan71ul0yneawYNvudfpdBiNRjIzM4vcJ3PgwAF8fX2BB0s0Bw4cUI4dPXqUwYMHU6dOHWxtbendu/dTPWa1Wk1eXh43b95Er9fToEEDGjVqVGTb9PR0Tp06xYgRIzAzM8PKyoq+ffty5MgRJVOfPn2wtbWlTp06DBw48Injh4SEMGLECP7xj3/QunXrIr9jy93dHYDz588DD77U2MXFRflG9C5dumBjY4NarcbHx4dGjRo91be4//rrrwwaNIgmTZpgYmLCoEGDiI+PJyUlRWljbm5OVlZWmfsWFU+WyYQQohQOHjzIl19+CTz4BTt79uwCx+/cuaMsicCDQsHW1pa0tDTUajU2NjbKhmeg2G8VL4qZmZnyTeMA2dnZmJmZoVKpqFOnDjqdrkD7CxcukJycTNeuXYEHxdB3331HfHw8LVq04M6dOwXGt7W1LXWWRzVq1IgRI0awdetWbt68Sbt27Rg+fLhSaDwqNTWV/Pz8Ast5RqNRyXHnzp0COR69lsUJCAigbdu2Be7bvn27skTXrVs3Ro8eTdeuXTl8+DCtW7fm8OHDdOvWTWm/f/9+du/erRQtOp2Oe/fuleEqPJCSksL69ev5+uuvCzy+tLQ05bFkZ2cXKGpF9SHFkBBClEK3bt0K/BJ9XL169bh+/bpy22g0kpqaqhRBaWlpGI1GpSC6fft2sbMoj2vatCnx8fHKbFJ8fDxNmzYFHhQkD3/pPixC9u/fj9FoJCAgoEA/ERERjBgxAmtra27fvq30kZqaWuzYtWrVIicnR7mdnp5e4Livry++vr5kZWXx5Zdf8s033zBhwoQChR88KP40Gg1r165V9tw8ql69egVylJSpJIMHDy40Q9S1a1c++eQTBg4cyOXLl5k2bRrwoIBZtWoV//jHP3BxcUGtVhMQEEBR31/+cPYtJydHKWgevRa2trYMHjy4xNfIH3/8wauvvvpUj0tULFkmE0KIcuDj48OpU6c4e/Yser2eXbt2YWpqiqurq/KL9ueffyY/P5+TJ08WWorJy8sjNzcXePBW+9zcXOWXcvfu3fn3v/9NWloaaWlp7N69Gz8/PwA0Gg0vvPAC586dAx5sjj569CgffPABISEhyp93332Xw4cPk5+fT5cuXdixYwf379/n9u3b/Pzzz8U+rhYtWnDq1Cnu379Peno6//nPf5RjCQkJREdHk5eXh1arRavVKkWQlZUVKSkpGAwG4EGx065dO77++muysrIwGAwkJSUpubt06cJPP/3E7du3uX//Pj/88EM5PCsPtGzZEktLS1auXEm7du2oXbs28KCwUalUWFpaAvDf//63yE3YAJaWltjY2HDw4EEMBgP79u3j1q1byvGXX36ZH374QTk/KyuLo0ePKsfT0tK4f/8+zs7O5fa4RPmRmSEhhCgH9vb2TJgwgXXr1invJpsxYwYazYMfs9OmTWPlypV8++23/OlPf6Jjx47KMYBJkyYpSzWBgYEALF++nAYNGvDyyy+TnJzM1KlTAejZsycvv/yycu7LL7/Mzz//jK+vLydPnkSr1dK9e/cC/b/00kts2bKF06dP8/rrr7N69WrGjx9PvXr16NGjR4Ei51Hdu3fn7NmzjBs3Djs7O1588UV2794NPCjgvvnmG/744w9MTExwdXVVlsG6dOnCwYMHGTlyJA0aNCA4OJjx48fzzTffMGXKFLKzs2nYsCEDBgxQHlNCQgIBAQGYm5vz6quvEh0dXS7PDTyYHdqyZQuTJ09W7mvSpAn9+vVjzpw5qNVqunfvjqura7F9fPDBB6xZs4bNmzfz0ksv4eLiohzz8vJCp9OxbNkyUlNTsbCw4IUXXqBLly4AHDp0CD8/P0xNTcvtMYnyozIWNR8ohBCiQs2ePZuXX3650Nvan9bcuXN57733Cn3w4tP429/+xoQJE+Qt4OUkLy+PgIAAFixYgJWVVVXHEUWQmSEhhKgE586dw97enrp163Lw4EGuXbtG+/bty63/jz/+uFz6ycjIICMjgwYNGpRLf+LBJ1AvW7asqmOIEkgxJIQQlSAhIYGlS5ei0+lo2LAhU6dOpV69elUdq4DY2Fg++eQTevfu/dTvMBPieSTLZEIIIYSo0eTdZEIIIYSo0aQYEkIIIUSNJsWQEEIIIWo0KYaEEEIIUaNJMSSEEEKIGu3/AU09z/M1j19DAAAAAElFTkSuQmCC\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'][:8]\n",
    "Pvalues =nease_enr['adj p_value'][:8]\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/Platelet/nease_en.pdf',format='pdf',bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "786db27a-99d7-4f23-ad75-36610be47cda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "Genes = best_path['Spliced genes']\n",
    "Pvalues =best_path['p_value']\n",
    "Pvalues=[ -np.log10(x) for x in Pvalues]\n",
    "\n",
    "\n",
    "plt.barh(Genes[::-1],Pvalues[::-1] )\n",
    "plt.title('Affected edges impact on the pathway')\n",
    "plt.ylabel('Differentially spliced genes')\n",
    "plt.xlabel('-log10( P-value)')\n",
    "plt.savefig('AS data/Platelet/Genes.pdf',format='pdf',bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "05cda090-f490-496e-a25f-b54008beddaf",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}