Example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import Thestral as sc\n",
    "pbmc=sc.create_Tenebrus_object(\"matrix.mtx\",\"../python_genes.tsv\",\"barcodes.tsv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IRH3CYWskJZy58A4GdInjLXeSmgceeMBkmkgMTU1NJtO2iAFd4njLnaSm49S4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\nyMgQu2hERESSJ5mADgBHjx7F+++/D71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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11842bd50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pbmc.QC()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pbmc.filter(detected_thresholds=[3,99999],gene_thresholds=[200,4500],MT_thresholds=[0,0.05])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAACCTGAGACAGGCT-1</th>\n",
       "      <th>AAACCTGCATCCGCGA-1</th>\n",
       "      <th>AAACCTGCATCGATTG-1</th>\n",
       "      <th>AAACCTGTCATCTGTT-1</th>\n",
       "      <th>AAACCTGTCCAGTAGT-1</th>\n",
       "      <th>AAACCTGTCCGCAGTG-1</th>\n",
       "      <th>AAACGGGCAAGCGAGT-1</th>\n",
       "      <th>AAACGGGGTAACGACG-1</th>\n",
       "      <th>AAAGATGAGACAGGCT-1</th>\n",
       "      <th>AAAGATGCACGTAAGG-1</th>\n",
       "      <th>...</th>\n",
       "      <th>TTTGGTTGTAGCCTCG-1</th>\n",
       "      <th>TTTGGTTGTCTTGCGG-1</th>\n",
       "      <th>TTTGGTTGTTCTCATT-1</th>\n",
       "      <th>TTTGGTTTCCCTCTTT-1</th>\n",
       "      <th>TTTGGTTTCGCCATAA-1</th>\n",
       "      <th>TTTGGTTTCGGAAATA-1</th>\n",
       "      <th>TTTGTCACAGCTATTG-1</th>\n",
       "      <th>TTTGTCACAGTCCTTC-1</th>\n",
       "      <th>TTTGTCAGTTACAGAA-1</th>\n",
       "      <th>TTTGTCATCACCGTAA-1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RP11-34P13.7</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL627309.1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AP006222.2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RP4-669L17.10</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RP11-206L10.3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RP11-206L10.2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RP11-206L10.9</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LINC00115</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FAM41C</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NOC2L</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KLHL17</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLEKHN1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HES4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RP11-54O7.11</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISG15</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AGRN</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C1orf159</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TNFRSF18</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TNFRSF4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SDF4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B3GALT6</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FAM132A</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RP5-902P8.12</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UBE2J2</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCNN1D</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACAP3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PUSL1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPSF3L</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GLTPD1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAS1R3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SPATC1L</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LSS</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MCM3AP-AS1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MCM3AP</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AP001469.9</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YBEY</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C21orf58</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PCNT</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DIP2A</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S100B</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRMT2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT-ND1</th>\n",
       "      <td>80</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>25</td>\n",
       "      <td>58</td>\n",
       "      <td>19</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>43</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>18</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT-ND2</th>\n",
       "      <td>126</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>36</td>\n",
       "      <td>39</td>\n",
       "      <td>30</td>\n",
       "      <td>40</td>\n",
       "      <td>10</td>\n",
       "      <td>36</td>\n",
       "      <td>75</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>25</td>\n",
       "      <td>17</td>\n",
       "      <td>23</td>\n",
       "      <td>21</td>\n",
       "      <td>38</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT-CO1</th>\n",
       "      <td>158</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>28</td>\n",
       "      <td>124</td>\n",
       "      <td>45</td>\n",
       "      <td>43</td>\n",
       "      <td>10</td>\n",
       "      <td>33</td>\n",
       "      <td>70</td>\n",
       "      <td>...</td>\n",
       "      <td>34</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>24</td>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "      <td>20</td>\n",
       "      <td>9</td>\n",
       "      <td>20</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT-CO2</th>\n",
       "      <td>144</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>29</td>\n",
       "      <td>93</td>\n",
       "      <td>36</td>\n",
       "      <td>51</td>\n",
       "      <td>11</td>\n",
       "      <td>29</td>\n",
       "      <td>68</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>16</td>\n",
       "      <td>19</td>\n",
       "      <td>22</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "      <td>28</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT-ATP8</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT-ATP6</th>\n",
       "      <td>116</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>26</td>\n",
       "      <td>57</td>\n",
       "      <td>23</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>32</td>\n",
       "      <td>68</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT-CO3</th>\n",
       "      <td>221</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>49</td>\n",
       "      <td>98</td>\n",
       "      <td>45</td>\n",
       "      <td>58</td>\n",
       "      <td>16</td>\n",
       "      <td>55</td>\n",
       "      <td>94</td>\n",
       "      <td>...</td>\n",
       "      <td>18</td>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "      <td>22</td>\n",
       "      <td>21</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT-ND3</th>\n",
       "      <td>70</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "      <td>38</td>\n",
       "      <td>8</td>\n",
       "      <td>23</td>\n",
       "      <td>41</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT-ND4L</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT-ND4</th>\n",
       "      <td>128</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>49</td>\n",
       "      <td>23</td>\n",
       "      <td>37</td>\n",
       "      <td>5</td>\n",
       "      <td>39</td>\n",
       "      <td>62</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>22</td>\n",
       "      <td>15</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>37</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT-ND5</th>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT-ND6</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT-CYB</th>\n",
       "      <td>86</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>32</td>\n",
       "      <td>37</td>\n",
       "      <td>17</td>\n",
       "      <td>35</td>\n",
       "      <td>3</td>\n",
       "      <td>31</td>\n",
       "      <td>65</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC145212.1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL592183.1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC011841.1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL354822.1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PNRC2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SRSF10</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14035 rows × 2016 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               AAACCTGAGACAGGCT-1  AAACCTGCATCCGCGA-1  AAACCTGCATCGATTG-1  \\\n",
       "RP11-34P13.7                    0                   0                   0   \n",
       "AL627309.1                      0                   0                   1   \n",
       "AP006222.2                      0                   0                   0   \n",
       "RP4-669L17.10                   0                   0                   0   \n",
       "RP11-206L10.3                   0                   0                   0   \n",
       "RP11-206L10.2                   0                   0                   0   \n",
       "RP11-206L10.9                   0                   0                   0   \n",
       "LINC00115                       0                   0                   0   \n",
       "FAM41C                          0                   0                   0   \n",
       "NOC2L                           3                   0                   0   \n",
       "KLHL17                          0                   0                   0   \n",
       "PLEKHN1                         0                   0                   0   \n",
       "HES4                            0                   0                   0   \n",
       "RP11-54O7.11                    0                   0                   0   \n",
       "ISG15                           1                   1                   0   \n",
       "AGRN                            0                   0                   0   \n",
       "C1orf159                        0                   0                   0   \n",
       "TNFRSF18                        0                   0                   0   \n",
       "TNFRSF4                         0                   0                   0   \n",
       "SDF4                            5                   0                   0   \n",
       "B3GALT6                         0                   0                   0   \n",
       "FAM132A                         0                   0                   0   \n",
       "RP5-902P8.12                    0                   0                   0   \n",
       "UBE2J2                          3                   2                   0   \n",
       "SCNN1D                          0                   0                   0   \n",
       "ACAP3                           0                   0                   0   \n",
       "PUSL1                           0                   0                   0   \n",
       "CPSF3L                          0                   1                   0   \n",
       "GLTPD1                          0                   0                   1   \n",
       "TAS1R3                          0                   0                   0   \n",
       "...                           ...                 ...                 ...   \n",
       "SPATC1L                         1                   2                   1   \n",
       "LSS                             0                   0                   0   \n",
       "MCM3AP-AS1                      0                   0                   0   \n",
       "MCM3AP                          2                   0                   0   \n",
       "AP001469.9                      0                   0                   0   \n",
       "YBEY                            2                   0                   0   \n",
       "C21orf58                        0                   0                   0   \n",
       "PCNT                            0                   0                   0   \n",
       "DIP2A                           1                   0                   0   \n",
       "S100B                           0                   0                   0   \n",
       "PRMT2                           3                   1                   0   \n",
       "MT-ND1                         80                   9                  10   \n",
       "MT-ND2                        126                   5                  11   \n",
       "MT-CO1                        158                   3                   5   \n",
       "MT-CO2                        144                   2                   4   \n",
       "MT-ATP8                         0                   0                   0   \n",
       "MT-ATP6                       116                   5                  10   \n",
       "MT-CO3                        221                   0                  12   \n",
       "MT-ND3                         70                   2                  10   \n",
       "MT-ND4L                         5                   0                   0   \n",
       "MT-ND4                        128                   5                   9   \n",
       "MT-ND5                         10                   1                   0   \n",
       "MT-ND6                          2                   0                   0   \n",
       "MT-CYB                         86                   9                   6   \n",
       "AC145212.1                      0                   0                   0   \n",
       "AL592183.1                      0                   0                   0   \n",
       "AC011841.1                      0                   0                   0   \n",
       "AL354822.1                      0                   0                   1   \n",
       "PNRC2                           1                   0                   0   \n",
       "SRSF10                          1                   0                   0   \n",
       "\n",
       "               AAACCTGTCATCTGTT-1  AAACCTGTCCAGTAGT-1  AAACCTGTCCGCAGTG-1  \\\n",
       "RP11-34P13.7                    0                   0                   0   \n",
       "AL627309.1                      0                   0                   0   \n",
       "AP006222.2                      0                   0                   0   \n",
       "RP4-669L17.10                   0                   0                   0   \n",
       "RP11-206L10.3                   0                   0                   0   \n",
       "RP11-206L10.2                   0                   0                   0   \n",
       "RP11-206L10.9                   0                   0                   0   \n",
       "LINC00115                       0                   0                   0   \n",
       "FAM41C                          0                   0                   0   \n",
       "NOC2L                           1                   0                   0   \n",
       "KLHL17                          0                   0                   0   \n",
       "PLEKHN1                         0                   0                   0   \n",
       "HES4                            0                   0                   0   \n",
       "RP11-54O7.11                    0                   0                   0   \n",
       "ISG15                           0                   2                   0   \n",
       "AGRN                            0                   0                   0   \n",
       "C1orf159                        0                   0                   0   \n",
       "TNFRSF18                        0                   0                   0   \n",
       "TNFRSF4                         0                   0                   0   \n",
       "SDF4                            0                   0                   1   \n",
       "B3GALT6                         0                   1                   0   \n",
       "FAM132A                         0                   0                   1   \n",
       "RP5-902P8.12                    0                   0                   0   \n",
       "UBE2J2                          2                   1                   0   \n",
       "SCNN1D                          0                   0                   0   \n",
       "ACAP3                           0                   0                   0   \n",
       "PUSL1                           0                   0                   0   \n",
       "CPSF3L                          3                   0                   1   \n",
       "GLTPD1                          0                   0                   1   \n",
       "TAS1R3                          0                   0                   0   \n",
       "...                           ...                 ...                 ...   \n",
       "SPATC1L                         0                   0                   1   \n",
       "LSS                             0                   0                   0   \n",
       "MCM3AP-AS1                      0                   0                   0   \n",
       "MCM3AP                          0                   0                   0   \n",
       "AP001469.9                      0                   0                   0   \n",
       "YBEY                            2                   1                   0   \n",
       "C21orf58                        0                   0                   1   \n",
       "PCNT                            0                   0                   0   \n",
       "DIP2A                           0                   0                   0   \n",
       "S100B                           0                   0                   0   \n",
       "PRMT2                           6                   0                   2   \n",
       "MT-ND1                         25                  58                  19   \n",
       "MT-ND2                         36                  39                  30   \n",
       "MT-CO1                         28                 124                  45   \n",
       "MT-CO2                         29                  93                  36   \n",
       "MT-ATP8                         0                   0                   0   \n",
       "MT-ATP6                        26                  57                  23   \n",
       "MT-CO3                         49                  98                  45   \n",
       "MT-ND3                         15                  18                  22   \n",
       "MT-ND4L                         0                   1                   0   \n",
       "MT-ND4                         28                  49                  23   \n",
       "MT-ND5                          5                   6                   5   \n",
       "MT-ND6                          0                   2                   0   \n",
       "MT-CYB                         32                  37                  17   \n",
       "AC145212.1                      0                   0                   0   \n",
       "AL592183.1                      1                   1                   2   \n",
       "AC011841.1                      0                   0                   0   \n",
       "AL354822.1                      0                   0                   0   \n",
       "PNRC2                           0                   0                   0   \n",
       "SRSF10                          0                   0                   0   \n",
       "\n",
       "               AAACGGGCAAGCGAGT-1  AAACGGGGTAACGACG-1  AAAGATGAGACAGGCT-1  \\\n",
       "RP11-34P13.7                    0                   0                   0   \n",
       "AL627309.1                      0                   0                   0   \n",
       "AP006222.2                      0                   0                   0   \n",
       "RP4-669L17.10                   0                   0                   0   \n",
       "RP11-206L10.3                   0                   0                   0   \n",
       "RP11-206L10.2                   0                   0                   0   \n",
       "RP11-206L10.9                   0                   0                   0   \n",
       "LINC00115                       0                   0                   0   \n",
       "FAM41C                          0                   0                   0   \n",
       "NOC2L                           0                   0                   0   \n",
       "KLHL17                          0                   0                   0   \n",
       "PLEKHN1                         0                   0                   0   \n",
       "HES4                            0                   0                   0   \n",
       "RP11-54O7.11                    0                   0                   0   \n",
       "ISG15                           0                   0                   1   \n",
       "AGRN                            0                   0                   0   \n",
       "C1orf159                        0                   0                   0   \n",
       "TNFRSF18                        0                   0                   0   \n",
       "TNFRSF4                         0                   0                   0   \n",
       "SDF4                            1                   2                   0   \n",
       "B3GALT6                         0                   0                   0   \n",
       "FAM132A                         0                   0                   0   \n",
       "RP5-902P8.12                    0                   0                   0   \n",
       "UBE2J2                          1                   0                   1   \n",
       "SCNN1D                          0                   0                   0   \n",
       "ACAP3                           0                   0                   0   \n",
       "PUSL1                           0                   0                   0   \n",
       "CPSF3L                          0                   0                   1   \n",
       "GLTPD1                          1                   0                   0   \n",
       "TAS1R3                          0                   0                   0   \n",
       "...                           ...                 ...                 ...   \n",
       "SPATC1L                         1                   0                   0   \n",
       "LSS                             0                   0                   0   \n",
       "MCM3AP-AS1                      0                   0                   0   \n",
       "MCM3AP                          0                   0                   1   \n",
       "AP001469.9                      0                   0                   0   \n",
       "YBEY                            0                   0                   0   \n",
       "C21orf58                        0                   0                   0   \n",
       "PCNT                            0                   0                   0   \n",
       "DIP2A                           1                   0                   0   \n",
       "S100B                           0                   0                   0   \n",
       "PRMT2                           0                   1                   2   \n",
       "MT-ND1                         31                   0                  16   \n",
       "MT-ND2                         40                  10                  36   \n",
       "MT-CO1                         43                  10                  33   \n",
       "MT-CO2                         51                  11                  29   \n",
       "MT-ATP8                         0                   0                   0   \n",
       "MT-ATP6                        44                   8                  32   \n",
       "MT-CO3                         58                  16                  55   \n",
       "MT-ND3                         38                   8                  23   \n",
       "MT-ND4L                         2                   0                   1   \n",
       "MT-ND4                         37                   5                  39   \n",
       "MT-ND5                         11                   1                   8   \n",
       "MT-ND6                          1                   0                   0   \n",
       "MT-CYB                         35                   3                  31   \n",
       "AC145212.1                      0                   0                   0   \n",
       "AL592183.1                      2                   1                   0   \n",
       "AC011841.1                      0                   0                   0   \n",
       "AL354822.1                      0                   0                   0   \n",
       "PNRC2                           0                   0                   0   \n",
       "SRSF10                          1                   0                   0   \n",
       "\n",
       "               AAAGATGCACGTAAGG-1         ...          TTTGGTTGTAGCCTCG-1  \\\n",
       "RP11-34P13.7                    0         ...                           0   \n",
       "AL627309.1                      0         ...                           0   \n",
       "AP006222.2                      0         ...                           0   \n",
       "RP4-669L17.10                   0         ...                           0   \n",
       "RP11-206L10.3                   0         ...                           0   \n",
       "RP11-206L10.2                   0         ...                           0   \n",
       "RP11-206L10.9                   0         ...                           0   \n",
       "LINC00115                       0         ...                           0   \n",
       "FAM41C                          0         ...                           1   \n",
       "NOC2L                           1         ...                           1   \n",
       "KLHL17                          0         ...                           0   \n",
       "PLEKHN1                         0         ...                           0   \n",
       "HES4                            0         ...                           0   \n",
       "RP11-54O7.11                    0         ...                           0   \n",
       "ISG15                           2         ...                           0   \n",
       "AGRN                            0         ...                           0   \n",
       "C1orf159                        1         ...                           0   \n",
       "TNFRSF18                        0         ...                           1   \n",
       "TNFRSF4                         0         ...                           0   \n",
       "SDF4                            1         ...                           2   \n",
       "B3GALT6                         0         ...                           0   \n",
       "FAM132A                         0         ...                           0   \n",
       "RP5-902P8.12                    0         ...                           0   \n",
       "UBE2J2                          1         ...                           1   \n",
       "SCNN1D                          0         ...                           0   \n",
       "ACAP3                           1         ...                           0   \n",
       "PUSL1                           0         ...                           0   \n",
       "CPSF3L                          0         ...                           1   \n",
       "GLTPD1                          0         ...                           0   \n",
       "TAS1R3                          0         ...                           0   \n",
       "...                           ...         ...                         ...   \n",
       "SPATC1L                         0         ...                           0   \n",
       "LSS                             0         ...                           0   \n",
       "MCM3AP-AS1                      0         ...                           0   \n",
       "MCM3AP                          1         ...                           0   \n",
       "AP001469.9                      0         ...                           0   \n",
       "YBEY                            4         ...                           0   \n",
       "C21orf58                        0         ...                           0   \n",
       "PCNT                            0         ...                           0   \n",
       "DIP2A                           0         ...                           0   \n",
       "S100B                           0         ...                           0   \n",
       "PRMT2                           2         ...                           0   \n",
       "MT-ND1                         43         ...                          13   \n",
       "MT-ND2                         75         ...                          10   \n",
       "MT-CO1                         70         ...                          34   \n",
       "MT-CO2                         68         ...                          14   \n",
       "MT-ATP8                         0         ...                           0   \n",
       "MT-ATP6                        68         ...                           6   \n",
       "MT-CO3                         94         ...                          18   \n",
       "MT-ND3                         41         ...                           5   \n",
       "MT-ND4L                         2         ...                           0   \n",
       "MT-ND4                         62         ...                          14   \n",
       "MT-ND5                          9         ...                           2   \n",
       "MT-ND6                          0         ...                           0   \n",
       "MT-CYB                         65         ...                          12   \n",
       "AC145212.1                      0         ...                           0   \n",
       "AL592183.1                     10         ...                           0   \n",
       "AC011841.1                      0         ...                           0   \n",
       "AL354822.1                      0         ...                           0   \n",
       "PNRC2                           0         ...                           0   \n",
       "SRSF10                          0         ...                           0   \n",
       "\n",
       "               TTTGGTTGTCTTGCGG-1  TTTGGTTGTTCTCATT-1  TTTGGTTTCCCTCTTT-1  \\\n",
       "RP11-34P13.7                    0                   0                   0   \n",
       "AL627309.1                      0                   0                   0   \n",
       "AP006222.2                      0                   0                   0   \n",
       "RP4-669L17.10                   0                   0                   0   \n",
       "RP11-206L10.3                   0                   0                   0   \n",
       "RP11-206L10.2                   0                   0                   0   \n",
       "RP11-206L10.9                   0                   0                   0   \n",
       "LINC00115                       0                   0                   0   \n",
       "FAM41C                          0                   0                   1   \n",
       "NOC2L                           0                   0                   0   \n",
       "KLHL17                          0                   0                   1   \n",
       "PLEKHN1                         0                   0                   0   \n",
       "HES4                            0                   0                   0   \n",
       "RP11-54O7.11                    0                   0                   0   \n",
       "ISG15                           0                   0                   4   \n",
       "AGRN                            0                   0                   0   \n",
       "C1orf159                        0                   0                   0   \n",
       "TNFRSF18                        0                   0                   0   \n",
       "TNFRSF4                         0                   0                   0   \n",
       "SDF4                            0                   0                   0   \n",
       "B3GALT6                         1                   0                   0   \n",
       "FAM132A                         0                   0                   0   \n",
       "RP5-902P8.12                    0                   0                   0   \n",
       "UBE2J2                          1                   0                   0   \n",
       "SCNN1D                          0                   0                   0   \n",
       "ACAP3                           0                   0                   0   \n",
       "PUSL1                           0                   0                   0   \n",
       "CPSF3L                          0                   0                   0   \n",
       "GLTPD1                          0                   0                   0   \n",
       "TAS1R3                          0                   0                   0   \n",
       "...                           ...                 ...                 ...   \n",
       "SPATC1L                         0                   0                   0   \n",
       "LSS                             0                   0                   0   \n",
       "MCM3AP-AS1                      0                   0                   0   \n",
       "MCM3AP                          0                   0                   0   \n",
       "AP001469.9                      0                   0                   0   \n",
       "YBEY                            0                   0                   1   \n",
       "C21orf58                        0                   0                   0   \n",
       "PCNT                            0                   1                   0   \n",
       "DIP2A                           0                   0                   0   \n",
       "S100B                           0                   0                   0   \n",
       "PRMT2                           0                   1                   1   \n",
       "MT-ND1                          8                  12                  22   \n",
       "MT-ND2                         10                  18                  10   \n",
       "MT-CO1                          7                   9                  24   \n",
       "MT-CO2                         16                  19                  22   \n",
       "MT-ATP8                         0                   0                   0   \n",
       "MT-ATP6                         5                   8                   7   \n",
       "MT-CO3                         13                  17                  22   \n",
       "MT-ND3                         10                  14                   5   \n",
       "MT-ND4L                         0                   0                   0   \n",
       "MT-ND4                         22                  15                  17   \n",
       "MT-ND5                          0                   2                   2   \n",
       "MT-ND6                          0                   0                   0   \n",
       "MT-CYB                         11                   6                  10   \n",
       "AC145212.1                      0                   0                   0   \n",
       "AL592183.1                      0                   0                   3   \n",
       "AC011841.1                      0                   0                   0   \n",
       "AL354822.1                      0                   0                   0   \n",
       "PNRC2                           0                   0                   0   \n",
       "SRSF10                          0                   0                   0   \n",
       "\n",
       "               TTTGGTTTCGCCATAA-1  TTTGGTTTCGGAAATA-1  TTTGTCACAGCTATTG-1  \\\n",
       "RP11-34P13.7                    1                   0                   0   \n",
       "AL627309.1                      0                   0                   0   \n",
       "AP006222.2                      0                   0                   0   \n",
       "RP4-669L17.10                   0                   0                   0   \n",
       "RP11-206L10.3                   0                   0                   0   \n",
       "RP11-206L10.2                   0                   0                   0   \n",
       "RP11-206L10.9                   0                   0                   0   \n",
       "LINC00115                       0                   0                   0   \n",
       "FAM41C                          0                   0                   0   \n",
       "NOC2L                           1                   0                   0   \n",
       "KLHL17                          0                   0                   0   \n",
       "PLEKHN1                         0                   0                   0   \n",
       "HES4                            0                   0                   2   \n",
       "RP11-54O7.11                    0                   0                   0   \n",
       "ISG15                           0                   0                   1   \n",
       "AGRN                            0                   0                   0   \n",
       "C1orf159                        0                   0                   0   \n",
       "TNFRSF18                        0                   0                   0   \n",
       "TNFRSF4                         0                   0                   0   \n",
       "SDF4                            0                   0                   1   \n",
       "B3GALT6                         0                   0                   0   \n",
       "FAM132A                         0                   0                   0   \n",
       "RP5-902P8.12                    0                   0                   0   \n",
       "UBE2J2                          3                   0                   0   \n",
       "SCNN1D                          0                   0                   0   \n",
       "ACAP3                           0                   0                   0   \n",
       "PUSL1                           0                   0                   0   \n",
       "CPSF3L                          0                   0                   0   \n",
       "GLTPD1                          0                   0                   0   \n",
       "TAS1R3                          0                   0                   0   \n",
       "...                           ...                 ...                 ...   \n",
       "SPATC1L                         1                   0                   0   \n",
       "LSS                             1                   0                   0   \n",
       "MCM3AP-AS1                      0                   0                   0   \n",
       "MCM3AP                          0                   0                   0   \n",
       "AP001469.9                      0                   0                   0   \n",
       "YBEY                            0                   0                   0   \n",
       "C21orf58                        0                   0                   0   \n",
       "PCNT                            0                   0                   0   \n",
       "DIP2A                           0                   0                   0   \n",
       "S100B                           0                   0                   0   \n",
       "PRMT2                           0                   0                   1   \n",
       "MT-ND1                          9                  11                  18   \n",
       "MT-ND2                         25                  17                  23   \n",
       "MT-CO1                         20                  19                  20   \n",
       "MT-CO2                         12                   9                  17   \n",
       "MT-ATP8                         0                   0                   0   \n",
       "MT-ATP6                        12                  10                  11   \n",
       "MT-CO3                         21                  16                  13   \n",
       "MT-ND3                         10                  11                   7   \n",
       "MT-ND4L                         1                   1                   1   \n",
       "MT-ND4                         12                   8                  12   \n",
       "MT-ND5                          3                   2                   2   \n",
       "MT-ND6                          0                   0                   0   \n",
       "MT-CYB                          9                  11                  14   \n",
       "AC145212.1                      0                   0                   0   \n",
       "AL592183.1                      0                   0                   1   \n",
       "AC011841.1                      0                   0                   0   \n",
       "AL354822.1                      0                   0                   0   \n",
       "PNRC2                           0                   0                   0   \n",
       "SRSF10                          0                   0                   0   \n",
       "\n",
       "               TTTGTCACAGTCCTTC-1  TTTGTCAGTTACAGAA-1  TTTGTCATCACCGTAA-1  \n",
       "RP11-34P13.7                    0                   0                   0  \n",
       "AL627309.1                      0                   0                   0  \n",
       "AP006222.2                      0                   0                   0  \n",
       "RP4-669L17.10                   0                   0                   0  \n",
       "RP11-206L10.3                   0                   0                   0  \n",
       "RP11-206L10.2                   0                   0                   0  \n",
       "RP11-206L10.9                   0                   0                   0  \n",
       "LINC00115                       0                   0                   0  \n",
       "FAM41C                          0                   0                   0  \n",
       "NOC2L                           0                   0                   0  \n",
       "KLHL17                          0                   0                   0  \n",
       "PLEKHN1                         0                   0                   0  \n",
       "HES4                            0                   0                   0  \n",
       "RP11-54O7.11                    0                   0                   0  \n",
       "ISG15                           0                   1                   0  \n",
       "AGRN                            0                   0                   0  \n",
       "C1orf159                        0                   0                   0  \n",
       "TNFRSF18                        0                   0                   0  \n",
       "TNFRSF4                         0                   0                   0  \n",
       "SDF4                            0                   0                   0  \n",
       "B3GALT6                         0                   0                   0  \n",
       "FAM132A                         0                   0                   0  \n",
       "RP5-902P8.12                    0                   0                   0  \n",
       "UBE2J2                          0                   0                   1  \n",
       "SCNN1D                          0                   0                   0  \n",
       "ACAP3                           0                   0                   1  \n",
       "PUSL1                           0                   0                   0  \n",
       "CPSF3L                          0                   0                   2  \n",
       "GLTPD1                          0                   0                   0  \n",
       "TAS1R3                          0                   0                   0  \n",
       "...                           ...                 ...                 ...  \n",
       "SPATC1L                         0                   0                   0  \n",
       "LSS                             0                   0                   0  \n",
       "MCM3AP-AS1                      0                   0                   0  \n",
       "MCM3AP                          0                   0                   0  \n",
       "AP001469.9                      0                   0                   0  \n",
       "YBEY                            0                   0                   0  \n",
       "C21orf58                        0                   0                   0  \n",
       "PCNT                            0                   0                   1  \n",
       "DIP2A                           1                   0                   0  \n",
       "S100B                           0                   0                   0  \n",
       "PRMT2                           0                   0                   0  \n",
       "MT-ND1                          7                  18                  17  \n",
       "MT-ND2                         21                  38                  30  \n",
       "MT-CO1                          9                  20                  49  \n",
       "MT-CO2                         10                  28                  51  \n",
       "MT-ATP8                         0                   0                   0  \n",
       "MT-ATP6                         3                  22                  23  \n",
       "MT-CO3                         18                  24                  55  \n",
       "MT-ND3                          5                  15                  18  \n",
       "MT-ND4L                         0                   0                   2  \n",
       "MT-ND4                         13                  37                  29  \n",
       "MT-ND5                          2                  10                   5  \n",
       "MT-ND6                          1                   1                   0  \n",
       "MT-CYB                          9                  28                  34  \n",
       "AC145212.1                      0                   0                   0  \n",
       "AL592183.1                      0                   0                   1  \n",
       "AC011841.1                      0                   0                   0  \n",
       "AL354822.1                      0                   0                   0  \n",
       "PNRC2                           0                   0                   0  \n",
       "SRSF10                          0                   1                   0  \n",
       "\n",
       "[14035 rows x 2016 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pbmc.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "label=pd.Series.from_csv(\"local_SLE_sample.txt\",index_col=0,sep=\"\\t\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pbmc.label_append(\"Sample\",label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pbmc.norm(\"Seurat_norm\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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WdKSBG0azlqPNXo5nNrMR6glaiWZyt9FGFVWaEZxmp7DJg7ob2KW8TrR51erz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\n/wO28Y2mJYCyzQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11bf80550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pbmc.SIMLR_cluster(6,70,20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11be376d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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pgxxdQjV9H3V0BQAAoCEYfZtv7969slqtCg8P16RJk5STk6Py8nLFxcUpNDRUQ4YM0ZYt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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10db6ee90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Sample</th>\n",
       "      <th>Norm_1</th>\n",
       "      <th>Norm_2</th>\n",
       "      <th>Norm_3</th>\n",
       "      <th>Norm_4</th>\n",
       "      <th>Patient</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SIMLR_cluster</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.780911</td>\n",
       "      <td>32.537961</td>\n",
       "      <td>2.819957</td>\n",
       "      <td>5.639913</td>\n",
       "      <td>18.221258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6.344411</td>\n",
       "      <td>4.531722</td>\n",
       "      <td>3.625378</td>\n",
       "      <td>3.323263</td>\n",
       "      <td>82.175227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12.297735</td>\n",
       "      <td>18.770227</td>\n",
       "      <td>24.919094</td>\n",
       "      <td>33.009709</td>\n",
       "      <td>11.003236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17.192982</td>\n",
       "      <td>29.824561</td>\n",
       "      <td>15.087719</td>\n",
       "      <td>26.315789</td>\n",
       "      <td>11.578947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8.115942</td>\n",
       "      <td>8.405797</td>\n",
       "      <td>4.637681</td>\n",
       "      <td>4.347826</td>\n",
       "      <td>74.492754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>21.052632</td>\n",
       "      <td>23.157895</td>\n",
       "      <td>16.491228</td>\n",
       "      <td>28.771930</td>\n",
       "      <td>10.526316</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Sample            Norm_1     Norm_2     Norm_3     Norm_4    Patient\n",
       "SIMLR_cluster                                                       \n",
       "0              40.780911  32.537961   2.819957   5.639913  18.221258\n",
       "1               6.344411   4.531722   3.625378   3.323263  82.175227\n",
       "2              12.297735  18.770227  24.919094  33.009709  11.003236\n",
       "3              17.192982  29.824561  15.087719  26.315789  11.578947\n",
       "4               8.115942   8.405797   4.637681   4.347826  74.492754\n",
       "5              21.052632  23.157895  16.491228  28.771930  10.526316"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pbmc.group_overlap([\"SIMLR_cluster\",\"Sample\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster_cluster_5_marker_gene_marker_gene\n",
      "\n",
      "                   FDR  background   mean_FD       p_value  target_group\n",
      "TXNIP     1.327052e-16    2.426581  0.396651  9.455304e-20      2.823231\n",
      "GIMAP7    7.809534e-15    1.017750  0.395545  8.902924e-18      1.413296\n",
      "TCF7      4.352125e-16    1.045574  0.384670  3.721090e-19      1.430244\n",
      "IL7R      3.369518e-12    1.610526  0.376187  6.482150e-15      1.986713\n",
      "CCR7      2.879163e-11    0.939842  0.360259  7.590242e-14      1.300100\n",
      "FYB       3.113168e-12    1.359125  0.348990  5.545365e-15      1.708114\n",
      "BCL11B    4.214356e-18    0.451519  0.348662  1.501374e-21      0.800181\n",
      "FOXP1     1.174324e-11    1.032091  0.346798  2.844818e-14      1.378889\n",
      "HIST1H4C  9.018506e-15    0.585650  0.344103  1.092373e-17      0.929753\n",
      "ETS1      3.128900e-15    0.638187  0.343822  2.898162e-18      0.982009\n",
      "\n",
      "\n",
      "cluster_cluster_0_marker_gene_marker_gene\n",
      "\n",
      "                  FDR  background   mean_FD        p_value  target_group\n",
      "RPS4Y1  2.308865e-246    0.584194  1.736001  1.645077e-250      2.320195\n",
      "CCR7     3.188110e-30    0.883515  0.469044   1.953526e-32      1.352558\n",
      "RPS10   5.376019e-108    3.600716  0.418197  1.149131e-111      4.018913\n",
      "TOMM7    3.135037e-46    2.350009  0.391160   1.072189e-48      2.741168\n",
      "EEF1B2   3.873626e-50    2.867366  0.359359   1.103990e-52      3.226725\n",
      "RPS5     4.389499e-94    3.372256  0.344478   1.563769e-97      3.716734\n",
      "TXNIP    4.593607e-18    2.406914  0.331224   5.367664e-20      2.738138\n",
      "RPLP2    1.730010e-98    4.601620  0.313329  4.930558e-102      4.914949\n",
      "\n",
      "\n",
      "cluster_cluster_2_marker_gene_marker_gene\n",
      "\n",
      "                FDR  background   mean_FD       p_value  target_group\n",
      "CCR7   1.033640e-16    0.926916  0.416610  3.019541e-19      1.343525\n",
      "TXNIP  3.114694e-15    2.427269  0.361352  1.154001e-17      2.788621\n",
      "AIF1   1.194088e-17    0.406530  0.352416  3.147935e-20      0.758946\n",
      "\n",
      "\n",
      "cluster_cluster_1_marker_gene_marker_gene\n",
      "\n",
      "                 FDR  background   mean_FD       p_value  target_group\n",
      "RPS26   6.532246e-72    2.141646  1.131364  3.723403e-75      3.273010\n",
      "MT2A    7.609117e-26    0.936324  0.617679  3.740856e-28      1.554004\n",
      "YPEL5   2.096994e-56    0.473611  0.615552  2.091765e-59      1.089164\n",
      "HLA-B   2.686988e-74    3.365031  0.578949  1.148695e-77      3.943980\n",
      "EIF5A   8.516413e-46    0.648940  0.574643  1.516996e-48      1.223583\n",
      "LTB     6.361920e-39    2.816819  0.570706  1.495856e-41      3.387526\n",
      "H3F3B   3.851287e-51    2.411532  0.542717  5.488119e-54      2.954249\n",
      "IFI44L  1.513869e-42    0.282217  0.531652  3.020188e-45      0.813869\n",
      "IFITM1  1.584841e-32    2.016679  0.511000  5.194348e-35      2.527679\n",
      "S100A4  5.558939e-11    1.731855  0.509150  7.961145e-13      2.241005\n",
      "\n",
      "\n",
      "cluster_cluster_4_marker_gene_marker_gene\n",
      "\n",
      "                    FDR  background   mean_FD        p_value  target_group\n",
      "S100A4    2.245735e-124    1.545928  1.574948  2.880173e-127      3.120876\n",
      "SRGN      1.367661e-119    0.893355  1.064990  1.948929e-122      1.958346\n",
      "ISG15     7.056255e-118    0.398518  0.926233  1.055799e-120      1.324751\n",
      "LY6E       2.530353e-90    0.896716  0.904377   7.932707e-93      1.801093\n",
      "SH3BGRL3   8.363663e-92    1.632358  0.843049   2.383659e-94      2.475407\n",
      "IL32       6.782794e-93    2.347258  0.838518   1.836453e-95      3.185776\n",
      "KLRB1      1.503377e-43    0.503277  0.837416   1.328242e-45      1.340693\n",
      "RPS26      1.047923e-38    2.186009  0.826217   1.030376e-40      3.012226\n",
      "LGALS1     5.850592e-96    0.199455  0.825773   1.542372e-98      1.025227\n",
      "IFI27      1.144349e-80    0.138126  0.808785   4.321375e-83      0.946911\n",
      "\n",
      "\n",
      "cluster_cluster_3_marker_gene_marker_gene\n",
      "\n",
      "                  FDR  background   mean_FD       p_value  target_group\n",
      "KLRB1    6.235024e-65    0.490042  1.107337  4.442482e-69      1.597379\n",
      "ANXA1    9.864973e-41    0.608274  0.713095  1.405767e-44      1.321369\n",
      "S100A4   1.694925e-15    1.722260  0.659197  2.173755e-18      2.381457\n",
      "DUSP1    3.858091e-28    0.867690  0.559020  1.099563e-31      1.426710\n",
      "CRIP1    3.968341e-21    0.847095  0.534214  2.544715e-24      1.381309\n",
      "S100A11  1.850858e-26    0.570527  0.500033  6.593723e-30      1.070560\n",
      "NFKBIA   5.198303e-21    1.933981  0.459284  3.703814e-24      2.393264\n",
      "MT-CO3   2.407834e-29    3.354768  0.392470  5.146777e-33      3.747237\n",
      "MT-CO1   1.890508e-25    3.268222  0.373791  9.428966e-29      3.642012\n",
      "ITGB1    4.246725e-16    0.372171  0.369411  4.236135e-19      0.741582\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "pbmc.sig_gene(\"SIMLR_cluster\",mean_fd=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FDR</th>\n",
       "      <th>background</th>\n",
       "      <th>mean_FD</th>\n",
       "      <th>p_value</th>\n",
       "      <th>target_group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RPS4Y1</th>\n",
       "      <td>2.308865e-246</td>\n",
       "      <td>0.584194</td>\n",
       "      <td>1.736001</td>\n",
       "      <td>1.645077e-250</td>\n",
       "      <td>2.320195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CCR7</th>\n",
       "      <td>3.188110e-30</td>\n",
       "      <td>0.883515</td>\n",
       "      <td>0.469044</td>\n",
       "      <td>1.953526e-32</td>\n",
       "      <td>1.352558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RPS10</th>\n",
       "      <td>5.376019e-108</td>\n",
       "      <td>3.600716</td>\n",
       "      <td>0.418197</td>\n",
       "      <td>1.149131e-111</td>\n",
       "      <td>4.018913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TOMM7</th>\n",
       "      <td>3.135037e-46</td>\n",
       "      <td>2.350009</td>\n",
       "      <td>0.391160</td>\n",
       "      <td>1.072189e-48</td>\n",
       "      <td>2.741168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EEF1B2</th>\n",
       "      <td>3.873626e-50</td>\n",
       "      <td>2.867366</td>\n",
       "      <td>0.359359</td>\n",
       "      <td>1.103990e-52</td>\n",
       "      <td>3.226725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RPS5</th>\n",
       "      <td>4.389499e-94</td>\n",
       "      <td>3.372256</td>\n",
       "      <td>0.344478</td>\n",
       "      <td>1.563769e-97</td>\n",
       "      <td>3.716734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TXNIP</th>\n",
       "      <td>4.593607e-18</td>\n",
       "      <td>2.406914</td>\n",
       "      <td>0.331224</td>\n",
       "      <td>5.367664e-20</td>\n",
       "      <td>2.738138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RPLP2</th>\n",
       "      <td>1.730010e-98</td>\n",
       "      <td>4.601620</td>\n",
       "      <td>0.313329</td>\n",
       "      <td>4.930558e-102</td>\n",
       "      <td>4.914949</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  FDR  background   mean_FD        p_value  target_group\n",
       "RPS4Y1  2.308865e-246    0.584194  1.736001  1.645077e-250      2.320195\n",
       "CCR7     3.188110e-30    0.883515  0.469044   1.953526e-32      1.352558\n",
       "RPS10   5.376019e-108    3.600716  0.418197  1.149131e-111      4.018913\n",
       "TOMM7    3.135037e-46    2.350009  0.391160   1.072189e-48      2.741168\n",
       "EEF1B2   3.873626e-50    2.867366  0.359359   1.103990e-52      3.226725\n",
       "RPS5     4.389499e-94    3.372256  0.344478   1.563769e-97      3.716734\n",
       "TXNIP    4.593607e-18    2.406914  0.331224   5.367664e-20      2.738138\n",
       "RPLP2    1.730010e-98    4.601620  0.313329  4.930558e-102      4.914949"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pbmc.all_gene[\"cluster_0_marker_gene\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pbmc.all_gene[\"cluster_0_marker_gene\"].to_csv(\"test.txt\",sep=\"\\t\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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imM+fztgNlFVwprM9kk+0xKpVqxASEoLbt2/jxYsXSExMxKmrQTgeEo+Hu5fD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Jyevm1xMn/yLzQrKyu2bt3K5MmTMRgMTJ48GTs7u3LHGAwGCgoKsLe3f+T1n1atWpGenv7Y/Vu4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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11d3f3bd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.scatter(pbmc.SIMLR_data,pbmc.data.ix[\"IFI44L\"],kind='distribution')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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7EMXQTKtAZxiwRiMFehoZM9C/9KUvjfnDE11tTRAEPPbYY5g7dy62bNlyzfef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\nNhO+9a21yMmxqF3SNYqLHdiy5RYAAn71q1+hvb1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TR6iZFathsI8KlQVfd+wPpYOCYC8V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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f25b890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pbmc.get_expression(\"IFI44L\",\"SIMLR_cluster\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['',\n",
       " '/Users/rorschachsilver/project/Single_Cell/local_SLE',\n",
       " '/seq/f-scripts/pipeline',\n",
       " '/Users/rorschachsilver/anaconda/lib/python27.zip',\n",
       " '/Users/rorschachsilver/anaconda/lib/python2.7',\n",
       " '/Users/rorschachsilver/anaconda/lib/python2.7/plat-darwin',\n",
       " '/Users/rorschachsilver/anaconda/lib/python2.7/plat-mac',\n",
       " '/Users/rorschachsilver/anaconda/lib/python2.7/plat-mac/lib-scriptpackages',\n",
       " '/Users/rorschachsilver/anaconda/lib/python2.7/lib-tk',\n",
       " '/Users/rorschachsilver/anaconda/lib/python2.7/lib-old',\n",
       " '/Users/rorschachsilver/anaconda/lib/python2.7/lib-dynload',\n",
       " '/Users/rorschachsilver/anaconda/lib/python2.7/site-packages',\n",
       " '/Users/rorschachsilver/anaconda/lib/python2.7/site-packages/Sphinx-1.5.1-py2.7.egg',\n",
       " '/Users/rorschachsilver/anaconda/lib/python2.7/site-packages/aeosa',\n",
       " '/Users/rorschachsilver/anaconda/lib/python2.7/site-packages/setuptools-27.2.0-py2.7.egg',\n",
       " '/Users/rorschachsilver/anaconda/lib/python2.7/site-packages/IPython/extensions',\n",
       " '/Users/rorschachsilver/.ipython']"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys\n",
    "sys.path"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}