geneToHiC_ising.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make an Ising model with genes as nodes and capturing the HiC interactions between them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import argparse\n",
    "import shutil\n",
    "import h5py\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import cooler\n",
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "import pickle\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         bin1_id  bin2_id  balanced\n",
      "1              0       21  0.003500\n",
      "2              0      248  0.000710\n",
      "3              0      312  0.000174\n",
      "4              0      492  0.000231\n",
      "5              0      524  0.000193\n",
      "...          ...      ...       ...\n",
      "4233183     3055     3059  0.001243\n",
      "4233184     3056     3100  0.002095\n",
      "4233187     3059     3100  0.001684\n",
      "4233189     3065     3100  0.006706\n",
      "4233191     3070     3100  0.095168\n",
      "\n",
      "[4230248 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "######load HiC files######\n",
    "c = cooler.Cooler('4DNFI18UHVRO_K562.mcool::/resolutions/20000')\n",
    "\n",
    "#whole genome contact matrix as pandas df (reading as np array and not csr format as sparse=False)\n",
    "matrix = c.matrix(balance=True, sparse=False, as_pixels=True, join=False, divisive_weights=None)[:] #pixels table is read as pd df\n",
    "edge_list = matrix[['bin1_id', 'bin2_id', 'balanced']] #convert to numpy array\n",
    "\n",
    "#remove self loops\n",
    "edge_list = edge_list[edge_list['bin1_id']!=edge_list['bin2_id']]\n",
    "print(edge_list)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        seqname        TSS strand          gene_id\n",
      "99         chr1      91105      -  ENSG00000239945\n",
      "703        chr1     921016      -  ENSG00000223764\n",
      "714        chr1     923928      +  ENSG00000187634\n",
      "1352       chr1     982093      -  ENSG00000187642\n",
      "1384       chr1    1000172      -  ENSG00000188290\n",
      "...         ...        ...    ...              ...\n",
      "2732363    chrX  155334657      -  ENSG00000155962\n",
      "2732467    chrX  155466540      +  ENSG00000224533\n",
      "2732651    chrX  155997581      +  ENSG00000124334\n",
      "2734639    chrY    5000226      +  ENSG00000099715\n",
      "2738619    chrY   21044724      -  ENSG00000254488\n",
      "\n",
      "[4987 rows x 4 columns]\n"
     ]
    }
   ],
   "source": [
    "######load gene files######\n",
    "#load norman's gene TSS pkl\n",
    "with open('norman_TSS.pkl', 'rb') as handle:\n",
    "    gene_tss = pickle.load(handle)\n",
    "#remove the last 14 rows of the df (they are not genes we want)\n",
    "gene_tss = gene_tss[:-14]\n",
    "print(gene_tss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        seqname        TSS strand          gene_id  bin_id\n",
      "99         chr1      91105      -  ENSG00000239945       0\n",
      "703        chr1     921016      -  ENSG00000223764       0\n",
      "714        chr1     923928      +  ENSG00000187634       0\n",
      "1352       chr1     982093      -  ENSG00000187642       0\n",
      "1384       chr1    1000172      -  ENSG00000188290       0\n",
      "...         ...        ...    ...              ...     ...\n",
      "2732363    chrX  155334657      -  ENSG00000155962     315\n",
      "2732467    chrX  155466540      +  ENSG00000224533     315\n",
      "2732651    chrX  155997581      +  ENSG00000124334     315\n",
      "2734639    chrY    5000226      +  ENSG00000099715     316\n",
      "2738619    chrY   21044724      -  ENSG00000254488     318\n",
      "\n",
      "[4987 rows x 5 columns]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n",
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/581820771.py:28: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  chr_genes.loc[:, 'bin_id'] = gene_bins\n"
     ]
    }
   ],
   "source": [
    "########Assign bin id to each gene########\n",
    "\n",
    "all_bins = c.bins()[:]\n",
    "#print(all_bins)\n",
    "genes_with_bins = []\n",
    "for chr in range(1,23):\n",
    "    chr_bins = all_bins[all_bins['chrom']=='chr'+str(chr)]\n",
    "    chr_genes = gene_tss[gene_tss['seqname']=='chr'+str(chr)]\n",
    "    gene_bins = []\n",
    "    for i in range(len(chr_genes)):\n",
    "        gene_bins.append(chr_bins[(chr_bins['start']<=chr_genes.iloc[i]['TSS']) & (chr_bins['end']>=chr_genes.iloc[i]['TSS'])].index[0])\n",
    "    chr_genes.loc[:, 'bin_id'] = gene_bins\n",
    "    genes_with_bins.append(chr_genes)\n",
    "\n",
    "#do the same for chrX and chrY too\n",
    "chr_bins = all_bins[all_bins['chrom']=='chrX']\n",
    "chr_genes = gene_tss[gene_tss['seqname']=='chrX']\n",
    "gene_bins = []\n",
    "for i in range(len(chr_genes)):\n",
    "    gene_bins.append(chr_bins[(chr_bins['start']<=chr_genes.iloc[i]['TSS']) & (chr_bins['end']>=chr_genes.iloc[i]['TSS'])].index[0])\n",
    "chr_genes.loc[:, 'bin_id'] = gene_bins\n",
    "genes_with_bins.append(chr_genes)\n",
    "\n",
    "chr_bins = all_bins[all_bins['chrom']=='chrY']\n",
    "chr_genes = gene_tss[gene_tss['seqname']=='chrY']\n",
    "gene_bins = []\n",
    "for i in range(len(chr_genes)):\n",
    "    gene_bins.append(chr_bins[(chr_bins['start']<=chr_genes.iloc[i]['TSS']) & (chr_bins['end']>=chr_genes.iloc[i]['TSS'])].index[0])\n",
    "chr_genes.loc[:, 'bin_id'] = gene_bins\n",
    "genes_with_bins.append(chr_genes)\n",
    "\n",
    "#concatenate all the dfs\n",
    "genes_with_bins = pd.concat(genes_with_bins)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       bin1_id  bin2_id  balanced\n",
      "0            0        2  0.027827\n",
      "1            0       24  0.008854\n",
      "2            0       31  0.002615\n",
      "3            0       50  0.002689\n",
      "4            0       53  0.002310\n",
      "...        ...      ...       ...\n",
      "48194      314      315  0.172070\n",
      "48195      314      318       NaN\n",
      "48196      314      316  0.008354\n",
      "48197      315      316  0.002267\n",
      "48198      315      318       NaN\n",
      "\n",
      "[48199 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "#select the unique bin ids from the gene tss list \n",
    "gene_bins = genes_with_bins['bin_id'].unique()\n",
    "#filter out the egdes between these gene_bins from the edge_list \n",
    "edge_list_genes = edge_list[edge_list['bin1_id'].isin(gene_bins) & edge_list['bin2_id'].isin(gene_bins)]\n",
    "#update the idx of edge list to start from 0 till len\n",
    "edge_list_genes = edge_list_genes.reset_index(drop=True)\n",
    "print(edge_list_genes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     bin_id                                              genes\n",
      "0         0  [ENSG00000239945, ENSG00000223764, ENSG0000018...\n",
      "1         1  [ENSG00000142657, ENSG00000175262, ENSG0000027...\n",
      "2         2  [ENSG00000117215, ENSG00000187980, ENSG0000011...\n",
      "3         3  [ENSG00000162511, ENSG00000121769, ENSG0000023...\n",
      "4         4  [ENSG00000131236, ENSG00000049089, ENSG0000017...\n",
      "..      ...                                                ...\n",
      "306     313  [ENSG00000134594, ENSG00000165694, ENSG0000023...\n",
      "307     314  [ENSG00000134595, ENSG00000196406, ENSG0000004...\n",
      "308     315  [ENSG00000214915, ENSG00000166049, ENSG0000022...\n",
      "309     316                                  [ENSG00000099715]\n",
      "310     318                                  [ENSG00000254488]\n",
      "\n",
      "[311 rows x 2 columns]\n",
      "     bin_id            genes\n",
      "0         0  ENSG00000239945\n",
      "0         0  ENSG00000223764\n",
      "0         0  ENSG00000187634\n",
      "0         0  ENSG00000187642\n",
      "0         0  ENSG00000188290\n",
      "..      ...              ...\n",
      "308     315  ENSG00000155962\n",
      "308     315  ENSG00000224533\n",
      "308     315  ENSG00000124334\n",
      "309     316  ENSG00000099715\n",
      "310     318  ENSG00000254488\n",
      "\n",
      "[4987 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "#create a df with columns 'bin_id' and list of genes in that bin from genes_with_bins\n",
    "genes_inside_bins = genes_with_bins.groupby('bin_id')['gene_id'].apply(list).reset_index(name='genes')\n",
    "print(genes_inside_bins)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    gene1            gene2    weight\n",
      "0         ENSG00000239945  ENSG00000117215  0.000014\n",
      "1         ENSG00000239945  ENSG00000187980  0.000014\n",
      "2         ENSG00000239945  ENSG00000117242  0.000014\n",
      "3         ENSG00000239945  ENSG00000236936  0.000014\n",
      "4         ENSG00000239945  ENSG00000142789  0.000014\n",
      "...                   ...              ...       ...\n",
      "12144252  ENSG00000160219  ENSG00000099715  0.000091\n",
      "12144253  ENSG00000203870  ENSG00000099715  0.000091\n",
      "12144254  ENSG00000155962  ENSG00000099715  0.000091\n",
      "12144255  ENSG00000224533  ENSG00000099715  0.000091\n",
      "12144256  ENSG00000124334  ENSG00000099715  0.000091\n",
      "\n",
      "[12144257 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "# Initialize a list to collect new gene-gene edges\n",
    "new_edges_list = []\n",
    "\n",
    "# Iterate through each edge in edges_df\n",
    "#add tqdm to show progress bar\n",
    "for _, edge in edge_list_genes.iterrows():\n",
    "    # Get the genes in each bin\n",
    "    left_genes = genes_inside_bins['genes'][genes_inside_bins['bin_id'] == edge['bin1_id']].iloc[0]\n",
    "    right_genes = genes_inside_bins['genes'][genes_inside_bins['bin_id'] == edge['bin2_id']].iloc[0]\n",
    "    # Calculate the weight for each new edge\n",
    "    total_new_edges = len(left_genes) * len(right_genes)\n",
    "    if total_new_edges == 0:\n",
    "        continue  # Skip if no genes in either bin\n",
    "    new_weight = edge['balanced'] / total_new_edges\n",
    "    #don't add edge is new_weight is NaN\n",
    "    if np.isnan(new_weight):\n",
    "        continue\n",
    "    # Iterate through the left and right genes to create new edges\n",
    "    for left_gene in left_genes:\n",
    "        for right_gene in right_genes:\n",
    "            # Append the new edges to the list\n",
    "            new_edges_list.append([left_gene, right_gene, new_weight])\n",
    "\n",
    "# Create a DataFrame from the new edges\n",
    "new_edges_df = pd.DataFrame(new_edges_list, columns=['gene1', 'gene2', 'weight'])\n",
    "\n",
    "print(new_edges_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'RP11-34P13.8': 0, 'RP11-54O7.3': 1, 'SAMD11': 2, 'PERM1': 3, 'HES4': 4, 'ISG15': 5, 'RP11-54O7.18': 6, 'RNF223': 7, 'LINC01342': 8, 'TTLL10-AS1': 9, 'TNFRSF18': 10, 'TNFRSF4': 11, 'TAS1R3': 12, 'ANKRD65': 13, 'MMP23B': 14, 'RP11-345P4.7': 15, 'CALML6': 16, 'RP5-892K4.1': 17, 'RP11-181G12.4': 18, 'PLCH2': 19, 'RP3-395M20.12': 20, 'RP3-395M20.8': 21, 'TNFRSF14': 22, 'TTC34': 23, 'TP73': 24, 'SMIM1': 25, 'RP1-286D6.5': 26, 'CHD5': 27, 'LINC00337': 28, 'GPR153': 29, 'HES2': 30, 'ESPN': 31, 'TAS1R1': 32, 'RP11-338N10.1': 33, 'TNFRSF9': 34, 'RP5-1115A15.1': 35, 'RP4-633I8.4': 36, 'ENO1': 37, 'CA6': 38, 'GPR157': 39, 'MIR34AHG': 40, 'RP3-510D11.2': 41, 'H6PD': 42, 'PIK3CD-AS1': 43, 'AL357140.1': 44, 'PGD': 45, 'C1orf127': 46, 'RP4-635E18.9': 47, 'MASP2': 48, 'RP4-635E18.8': 49, 'SRM': 50, 'DRAXIN': 51, 'MTHFR': 52, 'PDPN': 53, 'TMEM51-AS1': 54, 'RP3-467K16.2': 55, 'RP3-467K16.4': 56, 'EFHD2': 57, 'CELA2A': 58, 'CELA2B': 59, 'RP4-680D5.9': 60, 'RP11-276H7.3': 61, 'RP4-798A10.7': 62, 'RP5-1182A14.5': 63, 'AC004824.2': 64, 'RP1-43E13.2': 65, 'PLA2G2A': 66, 'PLA2G2D': 67, 'PLA2G2C': 68, 'PINK1-AS': 69, 'RP3-329E20.2': 70, 'CELA3A': 71, 'CDC42': 72, 'WNT4': 73, 'C1QB': 74, 'ZNF436-AS1': 75, 'RP1-150O5.3': 76, 'ID3': 77, 'MDS2': 78, 'HMGCL': 79, 'FUCA1': 80, 'CNR2': 81, 'IL22RA1': 82, 'RP11-10N16.2': 83, 'RUNX3': 84, 'RP4-799D16.1': 85, 'RP4-706G24.1': 86, 'SYF2': 87, 'RSRP1': 88, 'RP1-187B23.1': 89, 'PAQR7': 90, 'STMN1': 91, 'EXTL1': 92, 'TRIM63': 93, 'SH3BGRL3': 94, 'CD52': 95, 'ZNF683': 96, 'HMGN2': 97, 'ARID1A': 98, 'RP1-50O24.6': 99, 'NUDC': 100, 'SYTL1': 101, 'FGR': 102, 'IFI6': 103, 'THEMIS2': 104, 'RP11-460I13.2': 105, 'PTAFR': 106, 'RP5-1092A3.5': 107, 'SESN2': 108, 'OPRD1': 109, 'RP1-212P9.3': 110, 'LAPTM5': 111, 'FABP3': 112, 'LINC01226': 113, 'RP11-73M7.6': 114, 'SPOCD1': 115, 'RP4-622L5.7': 116, 'DCDC2B': 117, 'FAM167B': 118, 'LCK': 119, 'MARCKSL1': 120, 'TSSK3': 121, 'BSDC1': 122, 'RP11-114B7.6': 123, 'TMEM54': 124, 'RP1-34M23.5': 125, 'RP11-244H3.4': 126, 'PSMB2': 127, 'CLSPN': 128, 'RP11-435D7.3': 129, 'MAP7D1': 130, 'SH3D21': 131, 'CSF3R': 132, 'LINC01137': 133, 'CDCA8': 134, 'RHBDL2': 135, 'MACF1': 136, 'RP11-420K8.1': 137, 'BMP8A': 138, 'MFSD2A': 139, 'CAP1': 140, 'COL9A2': 141, 'CITED4': 142, 'RP5-1066H13.4': 143, 'SLFNL1': 144, 'GUCA2B': 145, 'GUCA2A': 146, 'ZMYND12': 147, 'PPCS': 148, 'CCDC30': 149, 'YBX1': 150, 'CLDN19': 151, 'SLC2A1': 152, 'SLC2A1-AS1': 153, 'FAM183A': 154, 'CFAP57': 155, 'TMEM125': 156, 'C1orf210': 157, 'CDC20': 158, 'RP11-184I16.4': 159, 'ATP6V0B': 160, 'SLC6A9': 161, 'C1orf228': 162, 'KIF2C': 163, 'BTBD19': 164, 'TESK2': 165, 'PRDX1': 166, 'RP4-533D7.4': 167, 'FAAH': 168, 'MKNK1-AS1': 169, 'TEX38': 170, 'PDZK1IP1': 171, 'STIL': 172, 'CDKN2C': 173, 'LINC01562': 174, 'TTC39A-AS1': 175, 'RAB3B': 176, 'RP11-91A18.4': 177, 'TXNDC12-AS1': 178, 'GPX7': 179, 'FAM159A': 180, 'RP5-1024G6.5': 181, 'RP11-117D22.2': 182, 'TMEM59': 183, 'RP5-997D24.3': 184, 'TMEM61': 185, 'BSND': 186, 'PLPP3': 187, 'JUN': 188, 'RP4-794H19.1': 189, 'LINC01358': 190, 'INADL': 191, 'ANGPTL3': 192, 'RP11-335E6.3': 193, 'PGM1': 194, 'SGIP1': 195, 'C1orf141': 196, 'GADD45A': 197, 'RP11-181B18.1': 198, 'RP5-952N6.1': 199, 'RP3-333A15.1': 200, 'FPGT-TNNI3K': 201, 'SLC44A5': 202, 'RP4-682C21.5': 203, 'MSH4': 204, 'RP11-375A5.1': 205, 'NEXN-AS1': 206, 'GIPC2': 207, 'IFI44L': 208, 'TTLL7': 209, 'DNASE2B': 210, 'COL24A1': 211, 'CLCA1': 212, 'LINC01140': 213, 'LMO4': 214, 'GBP3': 215, 'GBP1': 216, 'GBP2': 217, 'FLJ27354': 218, 'BTBD8': 219, 'KIAA1107': 220, 'ABCA4': 221, 'F3': 222, 'RP4-639F20.1': 223, 'FRRS1': 224, 'LRRC39': 225, 'GPR88': 226, 'S1PR1': 227, 'RP11-483I13.5': 228, 'RP11-483I13.2': 229, 'FNDC7': 230, 'SPATA42': 231, 'RP5-1065J22.8': 232, 'SCARNA2': 233, 'C1orf194': 234, 'MYBPHL': 235, 'GPR61': 236, 'GSTM2': 237, 'GSTM3': 238, 'EPS8L3': 239, 'RP11-195M16.3': 240, 'PROK1': 241, 'CD53': 242, 'RP11-96K19.2': 243, 'CHI3L2': 244, 'C1orf162': 245, 'TMIGD3': 246, 'ADORA3': 247, 'FAM212B': 248, 'CAPZA1': 249, 'RHOC': 250, 'LINC01356': 251, 'PTPN22': 252, 'HIPK1-AS1': 253, 'OLFML3': 254, 'RP4-655J12.4': 255, 'RP5-1086K13.1': 256, 'CD2': 257, 'CD101': 258, 'AL157902.3': 259, 'FAM46C': 260, 'SPAG17': 261, 'PHGDH': 262, 'FCGR1B': 263, 'RP11-439A17.9': 264, 'SRGAP2-AS1': 265, 'RP11-403I13.7': 266, 'RP5-998N21.4': 267, 'CH17-125A10.2': 268, 'RP11-89F3.2': 269, 'PDZK1': 270, 'CD160': 271, 'ANKRD35': 272, 'POLR3GL': 273, 'TXNIP': 274, 'HFE2': 275, 'CH17-353B19.1': 276, 'FMO5': 277, 'RP4-565E6.1': 278, 'RP11-495P10.6': 279, 'RP11-495P10.1': 280, 'AC245100.1': 281, 'PPIAL4G': 282, 'PDE4DIP': 283, 'CH17-189H20.1': 284, 'FCGR1A': 285, 'RP11-196G18.3': 286, 'HIST2H2AC': 287, 'MTMR11': 288, 'PLEKHO1': 289, 'ANP32E': 290, 'RP4-790G17.7': 291, 'ECM1': 292, 'ADAMTSL4': 293, 'CTSS': 294, 'CTSK': 295, 'FAM63A': 296, 'BNIPL': 297, 'C1orf56': 298, 'CDC42SE1': 299, 'MLLT11': 300, 'GABPB2': 301, 'LYSMD1': 302, 'RP11-126K1.8': 303, 'RP11-404E16.1': 304, 'CELF3': 305, 'RIIAD1': 306, 'C2CD4D': 307, 'S100A10': 308, 'S100A11': 309, 'SPRR2D': 310, 'SPRR2F': 311, 'PRR9': 312, 'LOR': 313, 'PGLYRP4': 314, 'S100A9': 315, 'S100A8': 316, 'S100A7A': 317, 'S100A7': 318, 'S100A6': 319, 'S100A5': 320, 'S100A4': 321, 'S100A3': 322, 'S100A13': 323, 'S100A1': 324, 'AL513523.2': 325, 'RP11-422P24.12': 326, 'IL6R': 327, 'SHE': 328, 'KCNN3': 329, 'PBXIP1': 330, 'CKS1B': 331, 'DCST1': 332, 'THBS3': 333, 'RP11-263K19.6': 334, 'SYT11': 335, 'RIT1': 336, 'ARHGEF2': 337, 'RAB25': 338, 'LMNA': 339, 'IQGAP3': 340, 'CRABP2': 341, 'SH2D2A': 342, 'NTRK1': 343, 'INSRR': 344, 'LRRC71': 345, 'RP11-71G12.1': 346, 'FCRL2': 347, 'RP11-404O13.5': 348, 'MNDA': 349, 'IFI16': 350, 'ACKR1': 351, 'C1orf204': 352, 'VSIG8': 353, 'ATP1A4': 354, 'CASQ1': 355, 'RP11-574F21.3': 356, 'SLAMF6': 357, 'CD84': 358, 'SLAMF1': 359, 'RP11-404F10.2': 360, 'CD48': 361, 'LY9': 362, 'CD244': 363, 'ITLN1': 364, 'RP11-312J18.6': 365, 'ITLN2': 366, 'ARHGAP30': 367, 'PVRL4': 368, 'RP11-544M22.8': 369, 'KLHDC9': 370, 'NIT1': 371, 'ADAMTS4': 372, 'FCER1G': 373, 'CFAP126': 374, 'FCGR2A': 375, 'HSPA6': 376, 'FCGR3A': 377, 'FCGR2B': 378, 'FCRLA': 379, 'NOS1AP': 380, 'RP11-565P22.2': 381, 'CCDC190': 382, 'PBX1': 383, 'RP11-506O24.1': 384, 'RP11-276E17.2': 385, 'MAEL': 386, 'CREG1': 387, 'RCSD1': 388, 'MPZL1': 389, 'MPC2': 390, 'XCL1': 391, 'RP1-10C16.1': 392, 'LINC00626': 393, 'ATP1B1': 394, 'FMO1': 395, 'TNFSF4': 396, 'RP11-160H22.3': 397, 'RABGAP1L': 398, 'GPR52': 399, 'CACYBP': 400, 'RP11-195C7.1': 401, 'ANGPTL1': 402, 'TOR3A': 403, 'ABL2': 404, 'RP11-12M5.3': 405, 'TOR1AIP2': 406, 'QSOX1': 407, 'MR1': 408, 'IER5': 409, 'CACNA1E': 410, 'RGSL1': 411, 'RNASEL': 412, 'RGS16': 413, 'RGS8': 414, 'NCF2': 415, 'ARPC5': 416, 'RGL1': 417, 'COLGALT2': 418, 'FAM129A': 419, 'GS1-279B7.1': 420, 'PDC': 421, 'GS1-304P7.3': 422, 'RGS18': 423, 'RP5-1011O1.2': 424, 'RGS1': 425, 'RGS2': 426, 'LINC01032': 427, 'RP11-563D10.1': 428, 'RP11-476B1.1': 429, 'KCNT2': 430, 'CFH': 431, 'CFHR3': 432, 'CFHR5': 433, 'F13B': 434, 'ASPM': 435, 'CRB1': 436, 'PTPRC': 437, 'LINC00862': 438, 'KIF14': 439, 'CACNA1S': 440, 'ASCL5': 441, 'TNNT2': 442, 'TNNI1': 443, 'PHLDA3': 444, 'LMOD1': 445, 'RP11-465N4.4': 446, 'ELF3': 447, 'PTPN7': 448, 'KDM5B': 449, 'RP11-480I12.10': 450, 'PPFIA4': 451, 'MYOG': 452, 'CHIT1': 453, 'LINC01353': 454, 'BTG2': 455, 'FMOD': 456, 'ATP2B4': 457, 'LAX1': 458, 'ZBED6': 459, 'RP11-74C13.4': 460, 'REN': 461, 'KISS1': 462, 'GOLT1A': 463, 'RP11-739N20.2': 464, 'MDM4': 465, 'RP11-430C7.4': 466, 'RP11-430C7.5': 467, 'NFASC': 468, 'CNTN2': 469, 'LEMD1': 470, 'CDK18': 471, 'SLC45A3': 472, 'NUCKS1': 473, 'RAB7B': 474, 'CTSE': 475, 'C1orf186': 476, 'RP11-38J22.3': 477, 'RP11-534L20.5': 478, 'MAPKAPK2': 479, 'IL19': 480, 'IL20': 481, 'IL24': 482, 'FCMR': 483, 'CD55': 484, 'CR1': 485, 'RP11-78B10.2': 486, 'CD46': 487, 'C1orf132': 488, 'PLXNA2': 489, 'TRAF3IP3': 490, 'KCNH1': 491, 'LINC00467': 492, 'RP11-552D8.1': 493, 'RP11-15I11.3': 494, 'NENF': 495, 'ATF3': 496, 'RP11-338C15.3': 497, 'BATF3': 498, 'VASH2': 499, 'PROX1': 500, 'PTPN14': 501, 'CENPF': 502, 'LYPLAL1-AS1': 503, 'MARC2': 504, 'MARC1': 505, 'RP11-295M18.6': 506, 'LINC01352': 507, 'HLX': 508, 'C1orf140': 509, 'TAF1A': 510, 'FAM177B': 511, 'RP11-285F7.2': 512, 'LEFTY1': 513, 'LEFTY2': 514, 'MIXL1': 515, 'ITPKB': 516, 'ITPKB-AS1': 517, 'PRSS38': 518, 'WNT9A': 519, 'RP11-245P10.6': 520, 'RP4-803J11.2': 521, 'PGBD5': 522, 'CAPN9': 523, 'FAM89A': 524, 'TRIM67': 525, 'KIAA1804': 526, 'SLC35F3': 527, 'IRF2BP2': 528, 'RP4-781K5.4': 529, 'RP4-781K5.6': 530, 'RP11-443B7.2': 531, 'LINC01348': 532, 'ARID4B': 533, 'ERO1B': 534, 'LINC01139': 535, 'RP11-544D21.2': 536, 'KMO': 537, 'SDCCAG8': 538, 'AKT3': 539, 'ZBTB18': 540, 'SMYD3': 541, 'RP11-83A16.1': 542, 'RP11-634B7.4': 543, 'OR2L13': 544, 'OR2L2': 545, 'OR2T4': 546, 'AC092159.2': 547, 'RP13-539J13.1': 548, 'AC142528.1': 549, 'ALLC': 550, 'LINC01249': 551, 'LINC00487': 552, 'RSAD2': 553, 'AC011747.6': 554, 'ID2-AS1': 555, 'ID2': 556, 'MBOAT2': 557, 'ASAP2': 558, 'IAH1': 559, 'ADAM17': 560, 'RP11-521D12.1': 561, 'GRHL1': 562, 'RRM2': 563, 'ODC1': 564, 'RN7SL832P': 565, 'MIR3681HG': 566, 'MYCNUT': 567, 'FAM49A': 568, 'LINC01376': 569, 'FAM228B': 570, 'DRC1': 571, 'OTOF': 572, 'KCNK3': 573, 'CENPA': 574, 'MAPRE3': 575, 'AGBL5-AS1': 576, 'ABHD1': 577, 'TCF23': 578, 'DNAJC5G': 579, 'KRTCAP3': 580, 'FOSL2': 581, 'RP11-373D23.3': 582, 'PLB1': 583, 'PPP1CB': 584, 'WDR43': 585, 'AC016907.3': 586, 'YPEL5': 587, 'LBH': 588, 'XDH': 589, 'NLRC4': 590, 'RASGRP3': 591, 'AC020594.5': 592, 'LINC01320': 593, 'CRIM1': 594, 'QPCT': 595, 'CDC42EP3': 596, 'RMDN2-AS1': 597, 'CYP1B1': 598, 'CYP1B1-AS1': 599, 'ARHGEF33': 600, 'MAP4K3': 601, 'AC007246.3': 602, 'TMEM178A': 603, 'SLC8A1': 604, 'AC104654.2': 605, 'C2orf91': 606, 'PKDCC': 607, 'OXER1': 608, 'HAAO': 609, 'AC016735.2': 610, 'AC093609.1': 611, 'ZFP36L2': 612, 'PLEKHH2': 613, 'SLC3A1': 614, 'SIX3-AS1': 615, 'AC012354.6': 616, 'EPAS1': 617, 'TMEM247': 618, 'RP11-333I13.1': 619, 'LINC01118': 620, 'RP11-761B3.1': 621, 'CALM2': 622, 'BCYRN1': 623, 'AC079807.4': 624, 'RP11-443F4.1': 625, 'RP11-477N3.1': 626, 'AC092839.4': 627, 'EML6': 628, 'RTN4': 629, 'RP11-481J13.1': 630, 'AC007131.1': 631, 'RP11-355B11.2': 632, 'AC092155.4': 633, 'AC009501.4': 634, 'UGP2': 635, 'AC074289.1': 636, 'LGALSL': 637, 'RP11-568N6.1': 638, 'AC007880.1': 639, 'MEIS1': 640, 'MEIS1-AS2': 641, 'AC007392.3': 642, 'AC078941.1': 643, 'PLEK': 644, 'ARHGAP25': 645, 'BMP10': 646, 'GKN2': 647, 'AAK1': 648, 'AC092431.3': 649, 'MXD1': 650, 'ATP6V1B1': 651, 'NAGK': 652, 'RP11-467P9.1': 653, 'C2orf78': 654, 'AC073046.25': 655, 'DQX1': 656, 'M1AP': 657, 'HK2': 658, 'RP11-355F16.1': 659, 'EVA1A': 660, 'LRRTM4': 661, 'CTNNA2': 662, 'TMSB10': 663, 'CAPG': 664, 'VAMP8': 665, 'VAMP5': 666, 'ST3GAL5': 667, 'ST3GAL5-AS1': 668, 'RP11-548P2.2': 669, 'REEP1': 670, 'RP11-1399P15.1': 671, 'KRCC1': 672, 'IGKC': 673, 'AC092835.2': 674, 'ADRA2B': 675, 'CNNM4': 676, 'RP11-353K11.1': 677, 'FAM178B': 678, 'VWA3B': 679, 'KIAA1211L': 680, 'LYG2': 681, 'AC092667.2': 682, 'RFX8': 683, 'LINC01127': 684, 'IL1R2': 685, 'AC108051.3': 686, 'AC010884.1': 687, 'AC018878.3': 688, 'AC108868.6': 689, 'ST6GAL2': 690, 'SULT1C2': 691, 'SULT1C4': 692, 'LIMS1': 693, 'RP11-506F3.1': 694, 'RGPD5': 695, 'LIMS3': 696, 'NPHP1': 697, 'RP11-1223D19.1': 698, 'BCL2L11': 699, 'AC017002.4': 700, 'ZC3H6': 701, 'RGPD8': 702, 'AC012442.6': 703, 'SLC20A1': 704, 'IL1B': 705, 'IL1RN': 706, 'AC016745.3': 707, 'RP11-480C16.1': 708, 'AC017074.2': 709, 'AC024704.2': 710, 'AC104653.1': 711, 'RP11-77A13.1': 712, 'STEAP3-AS1': 713, 'DBI': 714, 'SCTR': 715, 'GLI2': 716, 'RP11-204L24.2': 717, 'AC018737.3': 718, 'GYPC': 719, 'CYP27C1': 720, 'PROC': 721, 'RP11-286H15.1': 722, 'CCDC74B': 723, 'AMER3': 724, 'GPR39': 725, 'AC011893.3': 726, 'CXCR4': 727, 'THSD7B': 728, 'HNMT': 729, 'KYNU': 730, 'ZEB2': 731, 'TEX41': 732, 'KIF5C': 733, 'AC144449.1': 734, 'TNFAIP6': 735, 'NEB': 736, 'KCNJ3': 737, 'AC093375.1': 738, 'NR4A2': 739, 'ERMN': 740, 'CYTIP': 741, 'RP11-1152H14.1': 742, 'CCDC148': 743, 'BAZ2B': 744, 'AC009506.1': 745, 'GCA': 746, 'KCNH7': 747, 'GALNT3': 748, 'SCN9A': 749, 'AC016723.4': 750, 'SPC25': 751, 'ABCB11': 752, 'DHRS9': 753, 'AC007556.3': 754, 'CCDC173': 755, 'AC012594.1': 756, 'AC007277.3': 757, 'LINC01124': 758, 'GAD1': 759, 'CYBRD1': 760, 'DLX2': 761, 'AC078883.3': 762, 'AC106900.6': 763, 'RP11-394I13.2': 764, 'LINC01305': 765, 'WIPF1': 766, 'HOXD1': 767, 'NFE2L2': 768, 'AC073834.3': 769, 'PDE11A': 770, 'AC012499.1': 771, 'RP11-171I2.5': 772, 'CCDC141': 773, 'ITGA4': 774, 'NEUROD1': 775, 'FRZB': 776, 'FSIP2': 777, 'FSIP2-AS1': 778, 'LINC01473': 779, 'FAM171B': 780, 'TFPI': 781, 'SLC40A1': 782, 'AC005540.3': 783, 'STAT4': 784, 'MYO1B': 785, 'NABP1': 786, 'AC010983.1': 787, 'AC064834.2': 788, 'RP11-347P5.1': 789, 'HECW2': 790, 'AC020571.3': 791, 'C2orf66': 792, 'ANKRD44': 793, 'AC010746.3': 794, 'HSPD1': 795, 'HSPE1-MOB4': 796, 'PLCL1': 797, 'SGOL2': 798, 'RP11-13J8.1': 799, 'CFLAR': 800, 'CFLAR-AS1': 801, 'ALS2CR12': 802, 'ALS2CR11': 803, 'CDK15': 804, 'RP11-107N15.1': 805, 'FZD7': 806, 'KIAA2012': 807, 'AC079354.3': 808, 'RP11-686O6.1': 809, 'CARF': 810, 'CD28': 811, 'ZDBF2': 812, 'RP11-95H11.1': 813, 'CPO': 814, 'KLF7': 815, 'AC007879.2': 816, 'AC079767.4': 817, 'PTH2R': 818, 'UNC80': 819, 'AC007038.7': 820, 'IKZF2': 821, 'SPAG16': 822, 'FN1': 823, 'TMEM169': 824, 'AC098820.4': 825, 'IGFBP2': 826, 'IGFBP5': 827, 'TNP1': 828, 'RP11-574O16.1': 829, 'TNS1': 830, 'CXCR2': 831, 'GPBAR1': 832, 'VIL1': 833, 'RQCD1': 834, 'WNT6': 835, 'WNT10A': 836, 'CDK5R2': 837, 'FEV': 838, 'CRYBA2': 839, 'DNAJB2': 840, 'AC114803.3': 841, 'GMPPA': 842, 'ASIC4': 843, 'SLC4A3': 844, 'SGPP2': 845, 'KCNE4': 846, 'NYAP2': 847, 'AC009410.1': 848, 'AC098823.3': 849, 'AC012507.3': 850, 'NCL': 851, 'PTMA': 852, 'CHRNG': 853, 'KCNJ13': 854, 'SPP2': 855, 'IQCA1-AS1': 856, 'AC105760.3': 857, 'COL6A3': 858, 'AC104667.3': 859, 'RAMP1': 860, 'KLHL30': 861, 'AC017028.10': 862, 'GPC1': 863, 'GPR35': 864, 'AQP12B': 865, 'AC011298.2': 866, 'AGXT': 867, 'IL5RA': 868, 'AC026188.1': 869, 'ITPR1-AS1': 870, 'ITPR1': 871, 'EGOT': 872, 'AC018816.3': 873, 'BHLHE40': 874, 'AC026202.3': 875, 'RP11-572B2.1': 876, 'GRM7': 877, 'LMCD1': 878, 'SRGAP3': 879, 'THUMPD3-AS1': 880, 'RP11-266J6.2': 881, 'CRELD1': 882, 'AC022007.5': 883, 'FANCD2OS': 884, 'GHRL': 885, 'SLC6A11': 886, 'TIMP4': 887, 'PPARG': 888, 'FBLN2': 889, 'LINC00620': 890, 'LINC01267': 891, 'GRIP2': 892, 'FGD5': 893, 'EAF1-AS1': 894, 'COLQ': 895, 'ANKRD28': 896, 'UBE2E2-AS1': 897, 'LINC00691': 898, 'RARB': 899, 'NEK10': 900, 'AC098973.2': 901, 'RBMS3': 902, 'TGFBR2': 903, 'OSBPL10': 904, 'CMTM6': 905, 'CCR4': 906, 'AC123023.1': 907, 'ARPP21': 908, 'DCLK3': 909, 'RP11-640L9.1': 910, 'TRANK1': 911, 'RP11-285J16.1': 912, 'RP11-259K5.1': 913, 'ACAA1': 914, 'SLC22A13': 915, 'SCN11A': 916, 'CSRNP1': 917, 'XIRP1': 918, 'MOBP': 919, 'EIF1B': 920, 'ZNF620': 921, 'CTNNB1': 922, 'LYZL4': 923, 'RP4-613B23.5': 924, 'RP11-70C1.1': 925, 'SNRK-AS1': 926, 'LINC00694': 927, 'CLEC3B': 928, 'CDCP1': 929, 'TMEM158': 930, 'SLC6A20': 931, 'CCR9': 932, 'CCR1': 933, 'RP11-24F11.2': 934, 'CCRL2': 935, 'ALS2CL': 936, 'PTH1R': 937, 'RP11-708J19.1': 938, 'CAMP': 939, 'UCN2': 940, 'ARIH2OS': 941, 'RP13-131K19.1': 942, 'RP13-131K19.6': 943, 'BSN-AS2': 944, 'CDHR4': 945, 'UBA7': 946, 'CTD-2330K9.3': 947, 'RBM5-AS1': 948, 'SEMA3F-AS1': 949, 'SEMA3F': 950, 'GNAI2': 951, 'U73166.2': 952, 'SEMA3B': 953, 'HYAL3': 954, 'HEMK1': 955, 'CISH': 956, 'MANF': 957, 'IQCF2': 958, 'ALAS1': 959, 'ITIH4': 960, 'RP11-894J14.5': 961, 'TKT': 962, 'CACNA1D': 963, 'SPATA12': 964, 'HESX1': 965, 'DNASE1L3': 966, 'RP11-80H18.4': 967, 'PXK': 968, 'RP11-802O23.3': 969, 'FAM107A': 970, 'C3orf49': 971, 'RP11-245J9.4': 972, 'ARL6IP5': 973, 'LMOD3': 974, 'FRMD4B': 975, 'RP11-154H23.3': 976, 'LINC00877': 977, 'FRG2C': 978, 'ROBO1': 979, 'CADM2': 980, 'PROS1': 981, 'ST3GAL6': 982, 'COL8A1': 983, 'FILIP1L': 984, 'ABI3BP': 985, 'IMPG2': 986, 'NXPE3': 987, 'NFKBIZ': 988, 'ALCAM': 989, 'CBLB': 990, 'RP11-446H18.5': 991, 'RP11-115H18.1': 992, 'LINC00635': 993, 'CD47': 994, 'MYH15': 995, 'LINC01205': 996, 'RP11-553A10.1': 997, 'RP11-90K6.1': 998, 'RP11-231E6.1': 999, 'BTLA': 1000, 'CCDC80': 1001, 'CD200R1L': 1002, 'RP11-255E6.6': 1003, 'RP11-553L6.2': 1004, 'RP11-553L6.5': 1005, 'ZBTB20': 1006, 'ZBTB20-AS4': 1007, 'LSAMP': 1008, 'LSAMP-AS1': 1009, 'RP11-384F7.1': 1010, 'PLA1A': 1011, 'POPDC2': 1012, 'COX17': 1013, 'RP11-174O3.6': 1014, 'FSTL1': 1015, 'ARGFX': 1016, 'HCLS1': 1017, 'SLC15A2': 1018, 'CD86': 1019, 'CSTA': 1020, 'MYLK': 1021, 'SLC12A8': 1022, 'RP11-666A20.4': 1023, 'ALDH1L1': 1024, 'UROC1': 1025, 'TPRA1': 1026, 'ABTB1': 1027, 'MGLL': 1028, 'GATA2': 1029, 'H1FX': 1030, 'EFCAB12': 1031, 'MBD4': 1032, 'COL6A5': 1033, 'ACPP': 1034, 'BFSP2': 1035, 'BFSP2-AS1': 1036, 'RP11-91K8.5': 1037, 'TF': 1038, 'SLCO2A1': 1039, 'RP11-202A13.1': 1040, 'EPHB1': 1041, 'RP11-102M11.2': 1042, 'RP11-731C17.2': 1043, 'CLDN18': 1044, 'RP11-461M2.2': 1045, 'FOXL2': 1046, 'C3orf72': 1047, 'RBP2': 1048, 'CLSTN2': 1049, 'ZBTB38': 1050, 'GRK7': 1051, 'RP11-80H8.3': 1052, 'ZIC4': 1053, 'RP11-501O2.5': 1054, 'CP': 1055, 'TM4SF1': 1056, 'TM4SF1-AS1': 1057, 'ANKUB1': 1058, 'PFN2': 1059, 'RP11-167H9.4': 1060, 'LINC01213': 1061, 'P2RY14': 1062, 'SUCNR1': 1063, 'RP11-246A10.1': 1064, 'TMEM14EP': 1065, 'RP11-292E2.1': 1066, 'ARHGEF26': 1067, 'MME': 1068, 'KCNAB1': 1069, 'LINC00886': 1070, 'RP11-6F2.5': 1071, 'CCNL1': 1072, 'PTX3': 1073, 'RP11-290K4.2': 1074, 'RP11-538P18.2': 1075, 'RP11-379F4.9': 1076, 'SMC4': 1077, 'LINC01322': 1078, 'WDR49': 1079, 'GOLIM4': 1080, 'RP11-816J6.3': 1081, 'RP11-362K14.5': 1082, 'RP11-362K14.7': 1083, 'SAMD7': 1084, 'SEC62-AS1': 1085, 'SKIL': 1086, 'RPL22L1': 1087, 'PLD1': 1088, 'FNDC3B': 1089, 'TNFSF10': 1090, 'LINC00578': 1091, 'ZMAT3': 1092, 'KLHL6-AS1': 1093, 'KLHL24': 1094, 'HTR3E-AS1': 1095, 'FAM131A': 1096, 'RP11-329B9.4': 1097, 'MAP3K13': 1098, 'LIPH': 1099, 'DGKG': 1100, 'RP11-573D15.9': 1101, 'EIF4A2': 1102, 'MASP1': 1103, 'RTP4': 1104, 'BCL6': 1105, 'OPA1-AS1': 1106, 'HES1': 1107, 'RP11-513G11.3': 1108, 'CPN2': 1109, 'LRRC15': 1110, 'FAM43A': 1111, 'AC090505.4': 1112, 'ACAP2': 1113, 'AC091633.3': 1114, 'APOD': 1115, 'MUC20': 1116, 'MUC4': 1117, 'AC124944.5': 1118, 'AC124944.3': 1119, 'TFRC': 1120, 'RNF168': 1121, 'LINC01063': 1122, 'NCBP2-AS1': 1123, 'BDH1': 1124, 'AC024560.2': 1125, 'PDE6B': 1126, 'RP11-1191J2.5': 1127, 'RP11-440L14.4': 1128, 'IDUA': 1129, 'CTBP1-AS': 1130, 'RP13-1016M1.2': 1131, 'RP11-1398P2.1': 1132, 'FGFR3': 1133, 'C4orf48': 1134, 'POLN': 1135, 'DOK7': 1136, 'LRPAP1': 1137, 'RP11-529E10.7': 1138, 'RP11-265O12.1': 1139, 'MSX1': 1140, 'CYTL1': 1141, 'EVC': 1142, 'PPP2R2C': 1143, 'RP11-539L10.2': 1144, 'S100P': 1145, 'RP11-367J11.3': 1146, 'PSAPL1': 1147, 'ABLIM2': 1148, 'SH3TC1': 1149, 'RP11-774O3.1': 1150, 'RP11-774O3.3': 1151, 'RP11-689P11.2': 1152, 'CPZ': 1153, 'CLNK': 1154, 'RP11-168E17.1': 1155, 'LINC00504': 1156, 'CPEB2-AS1': 1157, 'RP11-665G4.1': 1158, 'RP11-799M12.2': 1159, 'FGFBP1': 1160, 'FGFBP2': 1161, 'TAPT1-AS1': 1162, 'RP11-446J8.1': 1163, 'FAM184B': 1164, 'SLIT2': 1165, 'KCNIP4': 1166, 'RP11-362J17.1': 1167, 'ERVH-1': 1168, 'SOD3': 1169, 'CCDC149': 1170, 'LGI2': 1171, 'RP11-660M5.1': 1172, 'STIM2': 1173, 'ARAP2': 1174, 'C4orf19': 1175, 'RP11-83C7.1': 1176, 'TLR1': 1177, 'TMEM156': 1178, 'KLB': 1179, 'SMIM14': 1180, 'RHOH': 1181, 'AC195454.1': 1182, 'CHRNA9': 1183, 'ATP8A1': 1184, 'RP11-109E24.2': 1185, 'LVCAT1': 1186, 'GABRA2': 1187, 'ATP10D': 1188, 'LINC01618': 1189, 'RP11-752D24.2': 1190, 'LNX1': 1191, 'PDGFRA': 1192, 'RP11-545H22.1': 1193, 'KIT': 1194, 'RP11-646I6.6': 1195, 'IGFBP7': 1196, 'RP11-525J21.1': 1197, 'RP11-798L4.1': 1198, 'RP11-707A18.1': 1199, 'RP11-25H12.1': 1200, 'STAP1': 1201, 'TMPRSS11A': 1202, 'TMPRSS11F': 1203, 'TMPRSS11B': 1204, 'UGT2B11': 1205, 'RP11-704M14.1': 1206, 'AMBN': 1207, 'ENAM': 1208, 'JCHAIN': 1209, 'SLC4A4': 1210, 'CXCL8': 1211, 'AREG': 1212, 'RP11-44F21.5': 1213, 'RP11-567N4.3': 1214, 'C4orf26': 1215, 'RP11-556N4.1': 1216, 'CXCL10': 1217, 'CCNG2': 1218, 'ANXA3': 1219, 'LINC01094': 1220, 'BMP2K': 1221, 'RP11-452C8.1': 1222, 'ANTXR2': 1223, 'C4orf22': 1224, 'TMEM150C': 1225, 'PLAC8': 1226, 'HPSE': 1227, 'GPAT3': 1228, 'NKX6-1': 1229, 'RP13-514E23.2': 1230, 'PTPN13': 1231, 'SLC10A6': 1232, 'HSD17B11': 1233, 'SPARCL1': 1234, 'DSPP': 1235, 'ABCG2': 1236, 'HERC6': 1237, 'HERC5': 1238, 'SNCA': 1239, 'HPGDS': 1240, 'RP11-1299A16.3': 1241, 'ADH6': 1242, 'ADH1B': 1243, 'DAPP1': 1244, 'PPP3CA': 1245, 'MANBA': 1246, 'CENPE': 1247, 'CXXC4': 1248, 'RP11-556I14.2': 1249, 'RP11-556I14.1': 1250, 'NPNT': 1251, 'AC004051.2': 1252, 'ENPEP': 1253, 'ALPK1': 1254, 'ANK2': 1255, 'CAMK2D': 1256, 'RP11-55L3.1': 1257, 'LINC01378': 1258, 'SEC24D': 1259, 'SYNPO2': 1260, 'MYOZ2': 1261, 'USP53': 1262, 'FABP2': 1263, 'RP11-679C8.2': 1264, 'TNIP3': 1265, 'ANXA5': 1266, 'CCNA2': 1267, 'KIAA1109': 1268, 'IL21-AS1': 1269, 'BBS12': 1270, 'RP11-381N20.1': 1271, 'LINC01091': 1272, 'FAT4': 1273, 'RP11-810P8.1': 1274, 'PLK4': 1275, 'RP11-130C6.1': 1276, 'RP11-184M15.1': 1277, 'JADE1': 1278, 'PCDH10': 1279, 'SLC7A11': 1280, 'LINC00500': 1281, 'RP11-173E2.2': 1282, 'RP11-98O2.1': 1283, 'MGARP': 1284, 'RP11-83A24.2': 1285, 'RP11-308D13.3': 1286, 'GYPE': 1287, 'GYPB': 1288, 'GYPA': 1289, 'RP11-425A23.1': 1290, 'RP11-342A1.1': 1291, 'RP11-1336O20.2': 1292, 'MAB21L2': 1293, 'RPS3A': 1294, 'RP11-610P16.1': 1295, 'RP11-18H21.1': 1296, 'RP11-461L13.5': 1297, 'TMEM154': 1298, 'TRIM2': 1299, 'RNF175': 1300, 'CTSO': 1301, 'GLRB': 1302, 'RP11-597D13.9': 1303, 'FNIP2': 1304, 'C4orf45': 1305, 'RP11-497K21.1': 1306, 'AC005150.1': 1307, 'NPY1R': 1308, 'CPE': 1309, 'RP11-310I9.1': 1310, 'DDX60L': 1311, 'PALLD': 1312, 'CLCN3': 1313, 'RP11-789C1.2': 1314, 'GALNTL6': 1315, 'HMGB2': 1316, 'SCRG1': 1317, 'HPGD': 1318, 'RP11-440I14.3': 1319, 'ADAM29': 1320, 'SPATA4': 1321, 'RP11-487E13.1': 1322, 'LINC00290': 1323, 'AC108142.1': 1324, 'RP11-18D7.2': 1325, 'WWC2-AS1': 1326, 'STOX2': 1327, 'ENPP6': 1328, 'RP11-290F5.2': 1329, 'IRF2': 1330, 'RP11-326I11.3': 1331, 'RP11-326I11.4': 1332, 'CENPU': 1333, 'ACSL1': 1334, 'RP11-701P16.2': 1335, 'MIR3945HG': 1336, 'RP11-714G18.1': 1337, 'RP11-279O9.4': 1338, 'PDLIM3': 1339, 'TLR3': 1340, 'TRIML2': 1341, 'TRIML1': 1342, 'RP11-366H4.3': 1343, 'RP11-366H4.1': 1344, 'AF146191.4': 1345, 'FRG1': 1346, 'FRG2': 1347, 'CTD-2231H16.1': 1348, 'CTD-2083E4.6': 1349, 'TPPP': 1350, 'CTD-3080P12.3': 1351, 'SLC6A19': 1352, 'LINC01511': 1353, 'SLC6A3': 1354, 'RP11-445O3.3': 1355, 'UBE2QL1': 1356, 'RP11-332J15.2': 1357, 'CTD-2296D1.5': 1358, 'ADCY2': 1359, 'RP11-480D4.6': 1360, 'MIR4458HG': 1361, 'CTD-2256P15.5': 1362, 'RP11-1C1.6': 1363, 'RP11-1C1.4': 1364, 'CTD-2154B17.1': 1365, 'FAM134B': 1366, 'CTD-2228A4.1': 1367, 'RP11-454P21.1': 1368, 'RP11-774D14.1': 1369, 'RP11-184E9.1': 1370, 'C1QTNF3-AMACR': 1371, 'NADK2-AS1': 1372, 'SLC1A3': 1373, 'CTD-2653M23.3': 1374, 'GDNF': 1375, 'LIFR': 1376, 'OSMR-AS1': 1377, 'OSMR': 1378, 'RICTOR': 1379, 'FYB': 1380, 'DAB2': 1381, 'CCDC152': 1382, 'SEPP1': 1383, 'CTD-2325A15.5': 1384, 'CTD-2035E11.3': 1385, 'ANXA2R': 1386, 'CTD-2035E11.5': 1387, 'HCN1': 1388, 'PARP8': 1389, 'CTD-2089N3.2': 1390, 'ISL1': 1391, 'CTD-2288O8.1': 1392, 'FST': 1393, 'CTD-2081C10.1': 1394, 'CDC20B': 1395, 'PLPP1': 1396, 'DDX4': 1397, 'IL6ST': 1398, 'CTD-2031P19.5': 1399, 'ANKRD55': 1400, 'ACTBL2': 1401, 'PLK2': 1402, 'GAPT': 1403, 'CTD-2176I21.2': 1404, 'PDE4D': 1405, 'PART1': 1406, 'CD180': 1407, 'PIK3R1': 1408, 'CCNB1': 1409, 'CARTPT': 1410, 'MAP1B': 1411, 'ZNF366': 1412, 'CTD-2631K10.1': 1413, 'TMEM171': 1414, 'ARHGEF28': 1415, 'HEXB': 1416, 'FAM169A': 1417, 'CTD-2503O16.4': 1418, 'SV2C': 1419, 'RP11-466P24.6': 1420, 'IQGAP2': 1421, 'F2RL2': 1422, 'S100Z': 1423, 'CRHBP': 1424, 'ARSB': 1425, 'CMYA5': 1426, 'CTC-325J23.2': 1427, 'RASGRF2': 1428, 'CKMT2': 1429, 'ACOT12': 1430, 'LINC01338': 1431, 'CTC-480C2.1': 1432, 'CTD-2036A18.2': 1433, 'CTC-493L21.1': 1434, 'LINC00461': 1435, 'MEF2C': 1436, 'ARRDC3': 1437, 'CTD-2091N23.1': 1438, 'NR2F1-AS1': 1439, 'RHOBTB3': 1440, 'GLRX': 1441, 'CTD-2337A12.1': 1442, 'AC008592.7': 1443, 'CTD-2260A17.1': 1444, 'CTD-2260A17.3': 1445, 'ERAP2': 1446, 'LIX1': 1447, 'RGMB': 1448, 'ST8SIA4': 1449, 'SLCO6A1': 1450, 'RP11-58B2.1': 1451, 'PJA2': 1452, 'CTC-459M5.1': 1453, 'MCC': 1454, 'KCNN2': 1455, 'TRIM36': 1456, 'AC010226.4': 1457, 'SEMA6A': 1458, 'CTB-118N6.2': 1459, 'TNFAIP8': 1460, 'HSD17B4': 1461, 'FAM170A': 1462, 'PRR16': 1463, 'PPIC': 1464, 'LINC01170': 1465, 'GRAMD3': 1466, 'RP11-517I3.1': 1467, 'ALDH7A1': 1468, 'RP11-434D11.4': 1469, 'FBN2': 1470, 'KIAA1024L': 1471, 'FNIP1': 1472, 'AC034228.4': 1473, 'AC034228.2': 1474, 'CSF2': 1475, 'PDLIM4': 1476, 'IRF1': 1477, 'TH2LCRR': 1478, 'AFF4': 1479, 'FSTL4': 1480, 'CTB-49A3.5': 1481, 'RP11-215P8.3': 1482, 'PITX1': 1483, 'CTC-203F4.2': 1484, 'CTB-138E5.1': 1485, 'SPOCK1': 1486, 'PKD2L2': 1487, 'WNT8A': 1488, 'EGR1': 1489, 'TMEM173': 1490, 'CTB-35F21.5': 1491, 'CD14': 1492, 'PCDHA3': 1493, 'PCDHA12': 1494, 'AC005754.8': 1495, 'AC005618.6': 1496, 'PCDHGA1': 1497, 'PCDHGA3': 1498, 'PCDHGA5': 1499, 'PCDHGA6': 1500, 'PCDHGA7': 1501, 'PCDHGA8': 1502, 'PCDHGB5': 1503, 'PCDHGB6': 1504, 'PCDHGA10': 1505, 'PCDHGA12': 1506, 'ARAP3': 1507, 'PCDH12': 1508, 'AC005592.1': 1509, 'CTC-806A22.1': 1510, 'SH3RF2': 1511, 'POU4F3': 1512, 'JAKMIP2': 1513, 'SPINK1': 1514, 'SCGB3A2': 1515, 'SPINK5': 1516, 'SPINK6': 1517, 'RP11-373N22.3': 1518, 'ADRB2': 1519, 'ABLIM3': 1520, 'CARMN': 1521, 'PDE6A': 1522, 'SLC26A2': 1523, 'CSF1R': 1524, 'SLC6A7': 1525, 'CAMK2A': 1526, 'ARSI': 1527, 'CD74': 1528, 'CTC-367J11.1': 1529, 'SYNPO': 1530, 'MYOZ3': 1531, 'SMIM3': 1532, 'SLC36A2': 1533, 'SPARC': 1534, 'CTB-113P19.5': 1535, 'HAND1': 1536, 'FAXDC2': 1537, 'HAVCR2': 1538, 'ITK': 1539, 'FAM71B': 1540, 'CYFIP2': 1541, 'CTB-47B11.3': 1542, 'ADAM19': 1543, 'CTB-127C13.1': 1544, 'CCNJL': 1545, 'PTTG1': 1546, 'LINC01202': 1547, 'GABRG2': 1548, 'RP11-541P9.3': 1549, 'HMMR': 1550, 'CTC-340A15.2': 1551, 'CTC-286N12.1': 1552, 'CTB-178M22.2': 1553, 'LCP2': 1554, 'CTB-114C7.4': 1555, 'KCNMB1': 1556, 'GABRP': 1557, 'NPM1': 1558, 'NEURL1B': 1559, 'DUSP1': 1560, 'ATP6V0E1': 1561, 'CREBRF': 1562, 'LINC01484': 1563, 'CPEB4': 1564, 'HMP19': 1565, 'FAM153B': 1566, 'HK3': 1567, 'PFN3': 1568, 'DOK3': 1569, 'PHYKPL': 1570, 'ZNF454': 1571, 'GRM6': 1572, 'ZNF879': 1573, 'HNRNPH1': 1574, 'LTC4S': 1575, 'SQSTM1': 1576, 'RNF130': 1577, 'CTC-573N18.1': 1578, 'BTNL8': 1579, 'BTNL9': 1580, 'AC138035.2': 1581, 'DUSP22': 1582, 'RP11-532F6.4': 1583, 'RP11-284J1.1': 1584, 'RP1-136B1.1': 1585, 'SERPINB1': 1586, 'SERPINB9': 1587, 'RP1-40E16.11': 1588, 'TUBB2A': 1589, 'TUBB2B': 1590, 'RP3-406P24.3': 1591, 'FAM217A': 1592, 'RP11-274H24.1': 1593, 'RREB1': 1594, 'RP11-69L16.4': 1595, 'RP3-512B11.3': 1596, 'RP11-314C16.1': 1597, 'OFCC1': 1598, 'TFAP2A': 1599, 'TFAP2A-AS1': 1600, 'MIR5689HG': 1601, 'GCNT2': 1602, 'RP11-360O19.4': 1603, 'RP11-421M1.8': 1604, 'GCM2': 1605, 'ERVFRD-1': 1606, 'ADTRP': 1607, 'PHACTR1': 1608, 'RNF182': 1609, 'RP3-448I9.2': 1610, 'MYLIP': 1611, 'ATXN1': 1612, 'DEK': 1613, 'RP4-625H18.2': 1614, 'RP11-239H6.2': 1615, 'SOX4': 1616, 'CASC15': 1617, 'PRL': 1618, 'KIAA0319': 1619, 'FAM65B': 1620, 'RP11-367G6.3': 1621, 'LRRC16A': 1622, 'HIST1H2AA': 1623, 'TRIM38': 1624, 'HIST1H1C': 1625, 'HIST1H4C': 1626, 'HIST1H2AC': 1627, 'HIST1H2BD': 1628, 'HIST1H2BE': 1629, 'RP1-34B20.21': 1630, 'HIST1H4E': 1631, 'HIST1H2BG': 1632, 'HIST1H4H': 1633, 'RP11-457M11.7': 1634, 'RP11-239L20.6': 1635, 'HIST1H2BJ': 1636, 'RP1-153G14.4': 1637, 'HIST1H3H': 1638, 'GPX6': 1639, 'LINC01556': 1640, 'OR5V1': 1641, 'MOG': 1642, 'HLA-F': 1643, 'HLA-A': 1644, 'HCG9': 1645, 'TRIM31': 1646, 'HLA-E': 1647, 'XXbac-BPG249D20.9': 1648, 'PPP1R18': 1649, 'TUBB': 1650, 'IER3': 1651, 'DPCR1': 1652, 'MUC21': 1653, 'HCG22': 1654, 'CDSN': 1655, 'XXbac-BPG299F13.14': 1656, 'HLA-C': 1657, 'HLA-B': 1658, 'ATP6V1G2-DDX39B': 1659, 'LTA': 1660, 'TNF': 1661, 'LTB': 1662, 'LST1': 1663, 'AIF1': 1664, 'LY6G5C': 1665, 'DDAH2': 1666, 'CLIC1': 1667, 'VWA7': 1668, 'HSPA1A': 1669, 'HSPA1B': 1670, 'C6orf48': 1671, 'NEU1': 1672, 'SLC44A4': 1673, 'C2': 1674, 'ATF6B': 1675, 'GPSM3': 1676, 'HLA-DRA': 1677, 'HLA-DRB1': 1678, 'HLA-DQA1': 1679, 'PSMB8': 1680, 'PSMB8-AS1': 1681, 'PSMB9': 1682, 'TAP1': 1683, 'HLA-DMB': 1684, 'HLA-DOA': 1685, 'HLA-DPA1': 1686, 'HLA-DPB1': 1687, 'B3GALT4': 1688, 'TAPBP': 1689, 'BAK1': 1690, 'IP6K3': 1691, 'GRM4': 1692, 'C6orf1': 1693, 'SCUBE3': 1694, 'DEF6': 1695, 'PNPLA1': 1696, 'ETV7': 1697, 'SRSF3': 1698, 'CDKN1A': 1699, 'RAB44': 1700, 'CPNE5': 1701, 'PI16': 1702, 'FGD2': 1703, 'PIM1': 1704, 'TMEM217': 1705, 'MDGA1': 1706, 'KCNK17': 1707, 'KIF6': 1708, 'DAAM2': 1709, 'RP11-61I13.3': 1710, 'APOBEC2': 1711, 'MDFI': 1712, 'TFEB': 1713, 'PGC': 1714, 'PRICKLE4': 1715, 'CCND3': 1716, 'PTCRA': 1717, 'ZNF318': 1718, 'RP1-261G23.7': 1719, 'RP5-1120P11.1': 1720, 'C6orf223': 1721, 'RP1-302G2.5': 1722, 'HSP90AB1': 1723, 'RP11-444E17.6': 1724, 'TCTE1': 1725, 'RUNX2': 1726, 'ENPP5': 1727, 'RCAN2': 1728, 'CYP39A1': 1729, 'SLC25A27': 1730, 'RP11-268F1.3': 1731, 'MEP1A': 1732, 'ADGRF1': 1733, 'ADGRF4': 1734, 'OPN5': 1735, 'CRISP2': 1736, 'CRISP3': 1737, 'RP11-524K22.1': 1738, 'PKHD1': 1739, 'PAQR8': 1740, 'EFHC1': 1741, 'GSTA1': 1742, 'GCM1': 1743, 'RP3-483K16.4': 1744, 'RP11-411K7.1': 1745, 'COL21A1': 1746, 'DST': 1747, 'RP11-203B9.4': 1748, 'XXbac-BPGBPG55C20.1': 1749, 'XXbac-BPGBPG55C20.3': 1750, 'LGSN': 1751, 'EYS': 1752, 'RP11-301G19.1': 1753, 'RP3-525N10.2': 1754, 'RP11-462G2.1': 1755, 'LINC01626': 1756, 'RIMS1': 1757, 'OOEP': 1758, 'MB21D1': 1759, 'RP11-505P4.6': 1760, 'RP11-505P4.7': 1761, 'RP11-554D15.3': 1762, 'RP11-415D17.4': 1763, 'LCA5': 1764, 'FAM46A': 1765, 'PRSS35': 1766, 'TBX18-AS1': 1767, 'CGA': 1768, 'RP3-382I10.7': 1769, 'RP11-63L7.5': 1770, 'PNRC1': 1771, 'RP1-45N11.1': 1772, 'RP1-23E21.2': 1773, 'POU3F2': 1774, 'PNISR': 1775, 'MCHR2': 1776, 'LINC00577': 1777, 'RP3-355L5.4': 1778, 'PRDM1': 1779, 'AIM1': 1780, 'RP1-60O19.1': 1781, 'CD24': 1782, 'RP1-191J18.66': 1783, 'RP1-111B22.3': 1784, 'CD164': 1785, 'MICAL1': 1786, 'RP5-1112D6.8': 1787, 'WISP3': 1788, 'RP1-142L7.5': 1789, 'MARCKS': 1790, 'FRK': 1791, 'DSE': 1792, 'TSPYL1': 1793, 'FAM26F': 1794, 'RP11-259P20.1': 1795, 'TRAPPC3L': 1796, 'SLC35F1': 1797, 'PLN': 1798, 'FABP7': 1799, 'SMPDL3A': 1800, 'RNF217-AS1': 1801, 'RP11-624M8.1': 1802, 'RP1-293L8.2': 1803, 'HEY2': 1804, 'RP3-403A15.5': 1805, 'LAMA2': 1806, 'RP1-69D17.3': 1807, 'RP11-69I8.2': 1808, 'VNN1': 1809, 'VNN3': 1810, 'VNN2': 1811, 'EYA4': 1812, 'SLC2A12': 1813, 'SGK1': 1814, 'LINC01010': 1815, 'RP11-557H15.4': 1816, 'CTA-31J9.2': 1817, 'ALDH8A1': 1818, 'MYB': 1819, 'MYB-AS1': 1820, 'RP3-388E23.2': 1821, 'RP3-325F22.3': 1822, 'IL22RA2': 1823, 'IFNGR1': 1824, 'TXLNB': 1825, 'CITED2': 1826, 'LINC01625': 1827, 'HIVEP2': 1828, 'STX11': 1829, 'UTRN': 1830, 'ADGB': 1831, 'STXBP5-AS1': 1832, 'RP1-111D6.3': 1833, 'RP11-350J20.12': 1834, 'ULBP2': 1835, 'PPP1R14C': 1836, 'AKAP12': 1837, 'SYNE1': 1838, 'RP11-306O13.1': 1839, 'IPCEF1': 1840, 'SYTL3': 1841, 'TAGAP': 1842, 'SLC22A1': 1843, 'RPS6KA2': 1844, 'RNASET2': 1845, 'RP11-503C24.4': 1846, 'RP1-266L20.4': 1847, 'LINC00574': 1848, 'DLL1': 1849, 'RP5-894D12.4': 1850, 'PSMB1': 1851, 'PDGFA': 1852, 'RP11-449P15.2': 1853, 'ADAP1': 1854, 'CYP2W1': 1855, 'AC073957.15': 1856, 'AC102953.4': 1857, 'ELFN1': 1858, 'AC110781.3': 1859, 'AC092171.2': 1860, 'ACTB': 1861, 'CTB-161C1.1': 1862, 'ANKRD61': 1863, 'AC004895.4': 1864, 'RP5-1159O4.1': 1865, 'AC006042.7': 1866, 'AC005281.2': 1867, 'DGKB': 1868, 'AHR': 1869, 'HDAC9': 1870, 'ITGB8': 1871, 'IL6': 1872, 'DFNA5': 1873, 'SNX10': 1874, 'AC004540.4': 1875, 'AC004540.5': 1876, 'SKAP2': 1877, 'HOTAIRM1': 1878, 'RP1-170O19.14': 1879, 'HOXA13': 1880, 'HOTTIP': 1881, 'TAX1BP1': 1882, 'JAZF1-AS1': 1883, 'CREB5': 1884, 'CPVL': 1885, 'AC004593.3': 1886, 'PRR15': 1887, 'MTURN': 1888, 'RP4-777O23.3': 1889, 'RP4-777O23.1': 1890, 'CRHR2': 1891, 'INMT': 1892, 'AQP1': 1893, 'SEPT7-AS1': 1894, 'TRGC2': 1895, 'TRGC1': 1896, 'TRGV9': 1897, 'TRGVA': 1898, 'RP11-121A8.1': 1899, 'TRGV5': 1900, 'AMPH': 1901, 'POU6F2': 1902, 'AC011290.4': 1903, 'INHBA': 1904, 'C7orf25': 1905, 'HECW1': 1906, 'LINC00957': 1907, 'PGAM2': 1908, 'NPC1L1': 1909, 'MYO1G': 1910, 'UPP1': 1911, 'ABCA13': 1912, 'VWC2': 1913, 'AC020743.2': 1914, 'DDC': 1915, 'SUMF2': 1916, 'PHKG1': 1917, 'ZNF117': 1918, 'ERV3-1': 1919, 'TPST1': 1920, 'GS1-124K5.11': 1921, 'KCTD7': 1922, 'TRIM74': 1923, 'ABHD11-AS1': 1924, 'CLDN4': 1925, 'WBSCR28': 1926, 'RP11-731K22.1': 1927, 'CLIP2': 1928, 'NCF1': 1929, 'GTF2IRD2': 1930, 'AC004878.8': 1931, 'HIP1': 1932, 'CCDC146': 1933, 'PTPN12': 1934, 'GNAI1': 1935, 'CD36': 1936, 'PCLO': 1937, 'SEMA3E': 1938, 'SEMA3A': 1939, 'SEMA3D': 1940, 'GRM3': 1941, 'AC005009.1': 1942, 'ABCB1': 1943, 'RUNDC3B': 1944, 'CDK14': 1945, 'AC002456.2': 1946, 'SAMD9L': 1947, 'HEPACAM2': 1948, 'CALCR': 1949, 'TFPI2': 1950, 'AC006378.2': 1951, 'AC003092.1': 1952, 'PON3': 1953, 'ASB4': 1954, 'PDK4': 1955, 'AC002451.3': 1956, 'DYNC1I1': 1957, 'BRI3': 1958, 'RP11-307C18.1': 1959, 'ARPC1B': 1960, 'CYP3A5': 1961, 'CYP3A4': 1962, 'RP4-604G5.1': 1963, 'GATS': 1964, 'PILRA': 1965, 'C7orf61': 1966, 'TSC22D4': 1967, 'GIGYF1': 1968, 'MUC12': 1969, 'RP11-395B7.4': 1970, 'MUC17': 1971, 'TRIM56': 1972, 'SERPINE1': 1973, 'VGF': 1974, 'MYL10': 1975, 'CTA-305I2.1': 1976, 'RP11-514P8.2': 1977, 'ORAI2': 1978, 'POLR2J3': 1979, 'RASA4': 1980, 'RP11-514P8.6': 1981, 'AC105052.2': 1982, 'LRRC17': 1983, 'SLC26A5': 1984, 'RELN': 1985, 'KMT2E': 1986, 'PIK3CG': 1987, 'HBP1': 1988, 'SLC26A4-AS1': 1989, 'CTB-13F3.1': 1990, 'PNPLA8': 1991, 'AC003088.1': 1992, 'AC002463.3': 1993, 'C7orf60': 1994, 'GPR85': 1995, 'LINC01393': 1996, 'TES': 1997, 'CAV2': 1998, 'CAV1': 1999, 'CTTNBP2': 2000, 'ANKRD7': 2001, 'AASS': 2002, 'FEZF1-AS1': 2003, 'C7orf77': 2004, 'RP11-3B12.5': 2005, 'RP11-3B12.2': 2006, 'RP11-212P7.2': 2007, 'RP11-274B21.10': 2008, 'RP11-274B21.9': 2009, 'OPN1SW': 2010, 'CCDC136': 2011, 'UBE2H': 2012, 'RP11-306G20.1': 2013, 'SSMEM1': 2014, 'TSGA13': 2015, 'AC058791.1': 2016, 'RP11-138A9.1': 2017, 'RP11-138A9.2': 2018, 'LINC-PINT': 2019, 'PLXNA4': 2020, 'LRGUK': 2021, 'AKR1B1': 2022, 'BPGM': 2023, 'RP11-644N4.1': 2024, 'DGKI': 2025, 'CREB3L2': 2026, 'SVOPL': 2027, 'ZC3HAV1': 2028, 'HIPK2': 2029, 'DENND2A': 2030, 'WEE2-AS1': 2031, 'TRBC1': 2032, 'PRSS2': 2033, 'TRBC2': 2034, 'TRBV30': 2035, 'EPHB6': 2036, 'AC073342.12': 2037, 'TMEM139': 2038, 'FAM131B': 2039, 'AC093673.5': 2040, 'ZYX': 2041, 'TAS2R60': 2042, 'TCAF2': 2043, 'CNTNAP2': 2044, 'GHET1': 2045, 'ZNF425': 2046, 'ZNF467': 2047, 'SSPO': 2048, 'ZNF862': 2049, 'RP11-445N20.3': 2050, 'RP4-584D14.5': 2051, 'LINC00996': 2052, 'GIMAP8': 2053, 'GIMAP7': 2054, 'GIMAP2': 2055, 'TMEM176B': 2056, 'TMEM176A': 2057, 'KCNH2': 2058, 'RP4-548D19.3': 2059, 'WDR86': 2060, 'PRKAG2-AS1': 2061, 'LINC01003': 2062, 'DPP6': 2063, 'PAXIP1-AS2': 2064, 'RP11-5C23.2': 2065, 'AC008060.5': 2066, 'AC073133.2': 2067, 'MNX1-AS2': 2068, 'RP4-639J15.3': 2069, 'AC005481.5': 2070, 'AC011899.9': 2071, 'RP11-452C13.1': 2072, 'VIPR2': 2073, 'LINC00685': 2074, 'CRLF2': 2075, 'CSF2RA': 2076, 'IL3RA': 2077, 'P2RY8': 2078, 'CD99': 2079, 'ARSD': 2080, 'RP11-706O15.7': 2081, 'VCX3B': 2082, 'TLR7': 2083, 'TMSB4X': 2084, 'FAM9C': 2085, 'RP1-122K4.3': 2086, 'ASB9': 2087, 'BMX': 2088, 'TMEM27': 2089, 'AP1S2': 2090, 'RP11-431J24.2': 2091, 'RAI2': 2092, 'BEND2': 2093, 'CDKL5': 2094, 'ADGRG2': 2095, 'PHEX': 2096, 'PTCHD1': 2097, 'PRDX4': 2098, 'RP13-314C10.5': 2099, 'SAT1': 2100, 'EIF2S3': 2101, 'PCYT1B': 2102, 'ARX': 2103, 'MAGEB2': 2104, 'CXorf21': 2105, 'DMD': 2106, 'XK': 2107, 'CYBB': 2108, 'DYNLT3': 2109, 'SRPX': 2110, 'MID1IP1': 2111, 'LINC01281': 2112, 'RP11-320G24.1': 2113, 'RP5-1172N10.2': 2114, 'GPR34': 2115, 'GPR82': 2116, 'MAOB': 2117, 'CXorf36': 2118, 'TIMP1': 2119, 'CFP': 2120, 'UXT-AS1': 2121, 'AF196970.3': 2122, 'ERAS': 2123, 'PIM2': 2124, 'PLP2': 2125, 'SYP': 2126, 'GAGE12J': 2127, 'SHROOM4': 2128, 'RP11-348F1.2': 2129, 'MAGED1': 2130, 'SPANXN5': 2131, 'FAM156A': 2132, 'MAGED2': 2133, 'TRO': 2134, 'ALAS2': 2135, 'PAGE5': 2136, 'LINC01420': 2137, 'MSN': 2138, 'RP6-159A1.4': 2139, 'VSIG4': 2140, 'HEPH': 2141, 'AR': 2142, 'IGBP1': 2143, 'FOXO4': 2144, 'IL2RG': 2145, 'ACRC': 2146, 'LINC00891': 2147, 'RGAG4': 2148, 'RPS4X': 2149, 'CITED1': 2150, 'XIST': 2151, 'FTX': 2152, 'KIAA2022': 2153, 'PGAM4': 2154, 'CYSLTR1': 2155, 'LPAR4': 2156, 'SH3BGRL': 2157, 'RPS6KA6': 2158, 'SATL1': 2159, 'KLHL4': 2160, 'TGIF2LX': 2161, 'RPA4': 2162, 'NOX1': 2163, 'TMEM35': 2164, 'BTK': 2165, 'ARMCX3': 2166, 'ZMAT1': 2167, 'NXF3': 2168, 'TCEAL5': 2169, 'BEX2': 2170, 'WBP5': 2171, 'RAB40A': 2172, 'RAB9B': 2173, 'H2BFWT': 2174, 'RP11-722G7.1': 2175, 'PIH1D3': 2176, 'FRMPD3': 2177, 'TSC22D3': 2178, 'ACSL4': 2179, 'RGAG1': 2180, 'RP5-1139I1.1': 2181, 'RHOXF1-AS1': 2182, 'RHOXF2BB': 2183, 'LINC01402': 2184, 'TMEM255A': 2185, 'ATP1B4': 2186, 'LAMP2': 2187, 'TEX13D': 2188, 'TENM1': 2189, 'RP1-30E17.2': 2190, 'SASH3': 2191, 'BCORL1': 2192, 'RAB33A': 2193, 'FRMD7': 2194, 'RAP2C-AS1': 2195, 'TFDP3': 2196, 'LINC00629': 2197, 'RP11-265D19.6': 2198, 'SMIM10L2A': 2199, 'CT45A1': 2200, 'CT45A3': 2201, 'FHL1': 2202, 'ARHGEF6': 2203, 'RP11-1114A5.4': 2204, 'SOX3': 2205, 'SPANXD': 2206, 'MAGEC2': 2207, 'IDS': 2208, 'AF011889.2': 2209, 'LINC00893': 2210, 'MAGEA9B': 2211, 'MAGEA11': 2212, 'XX-FW81066F1.2': 2213, 'XX-FW80269A6.1': 2214, 'PASD1': 2215, 'RP11-366F6.2': 2216, 'GABRE': 2217, 'GABRQ': 2218, 'MAGEA2': 2219, 'PNMA5': 2220, 'RP11-635O16.2': 2221, 'U82695.5': 2222, 'DUSP9': 2223, 'ARHGAP4': 2224, 'RENBP': 2225, 'TKTL1': 2226, 'XX-FW83128A1.2': 2227, 'FLNA': 2228, 'RPL10': 2229, 'XX-FW83563B9.5': 2230, 'CH17-340M24.3': 2231, 'ATP6AP1': 2232, 'G6PD': 2233, 'GAB3': 2234, 'SMIM9': 2235, 'CLIC2': 2236, 'TMLHE-AS1': 2237, 'IL9R': 2238, 'AC144568.2': 2239, 'CTD-2336O2.3': 2240, 'MYOM2': 2241, 'AC133633.2': 2242, 'ANGPT2': 2243, 'PPP1R3B': 2244, 'C8orf74': 2245, 'RP11-177H2.2': 2246, 'FAM167A': 2247, 'C8orf49': 2248, 'RP11-297N6.4': 2249, 'CTSB': 2250, 'KIAA1456': 2251, 'SGCZ': 2252, 'TUSC3': 2253, 'SLC7A2': 2254, 'MTUS1': 2255, 'ASAH1': 2256, 'DOK2': 2257, 'DMTN': 2258, 'PHYHIP': 2259, 'EGR3': 2260, 'PEBP4': 2261, 'TNFRSF10D': 2262, 'LOXL2': 2263, 'SLC25A37': 2264, 'NKX3-1': 2265, 'STC1': 2266, 'ADAM28': 2267, 'NEFM': 2268, 'EBF2': 2269, 'BNIP3L': 2270, 'PNMA2': 2271, 'DPYSL2': 2272, 'STMN4': 2273, 'PTK2B': 2274, 'CHRNA2': 2275, 'CLU': 2276, 'PNOC': 2277, 'RP11-662B19.2': 2278, 'AC145110.1': 2279, 'RP11-51J9.5': 2280, 'RNF122': 2281, 'DUSP26': 2282, 'RP1-273G13.3': 2283, 'RP1-84O15.2': 2284, 'RP11-863K10.7': 2285, 'RAB11FIP1': 2286, 'ADRB3': 2287, 'C8orf86': 2288, 'TACC1': 2289, 'PLEKHA2': 2290, 'HTRA4': 2291, 'C8orf4': 2292, 'ZMAT4': 2293, 'SFRP1': 2294, 'PLAT': 2295, 'RP11-231D20.2': 2296, 'RP11-503E24.2': 2297, 'CHRNA6': 2298, 'CEBPD': 2299, 'C8orf22': 2300, 'RP11-10H3.1': 2301, 'RP11-11C20.3': 2302, 'PCMTD1': 2303, 'RP11-546K22.3': 2304, 'XKR4': 2305, 'RP11-513O17.3': 2306, 'RP11-44D19.1': 2307, 'SDCBP': 2308, 'TOX': 2309, 'RP11-91I20.3': 2310, 'RP11-33I11.2': 2311, 'AC022182.1': 2312, 'AC022182.3': 2313, 'ASPH': 2314, 'RRS1-AS1': 2315, 'ADHFE1': 2316, 'C8orf46': 2317, 'AC090154.1': 2318, 'KCNB2': 2319, 'C8orf89': 2320, 'RPL7': 2321, 'RDH10': 2322, 'UBE2W': 2323, 'LY96': 2324, 'RP11-6I2.3': 2325, 'CASC9': 2326, 'HNF4G': 2327, 'STMN2': 2328, 'HEY1': 2329, 'LINC01607': 2330, 'ZBTB10': 2331, 'PAG1': 2332, 'RP11-1149M10.2': 2333, 'FABP5': 2334, 'RP11-354A14.1': 2335, 'RALYL': 2336, 'RP11-219B4.7': 2337, 'CA2': 2338, 'CNGB3': 2339, 'CTB-118P15.2': 2340, 'RP11-642C5.1': 2341, 'CALB1': 2342, 'NECAB1': 2343, 'TMEM55A': 2344, 'RUNX1T1': 2345, 'RP11-10N23.5': 2346, 'RP3-388N13.5': 2347, 'RP11-22C11.2': 2348, 'TP53INP1': 2349, 'RP11-90D11.1': 2350, 'SDC2': 2351, 'CPQ': 2352, 'LAPTM4B': 2353, 'MATN2': 2354, 'OSR2': 2355, 'RP11-44N12.2': 2356, 'FBXO43': 2357, 'FLJ42969': 2358, 'KB-1410C5.5': 2359, 'NCALD': 2360, 'UBR5-AS1': 2361, 'KB-431C1.5': 2362, 'KLF10': 2363, 'KB-1732A1.1': 2364, 'KB-1507C5.4': 2365, 'BAALC': 2366, 'FZD6': 2367, 'DCAF13': 2368, 'DPYS': 2369, 'LRP12': 2370, 'RP11-649G15.2': 2371, 'EIF3E': 2372, 'TMEM74': 2373, 'CSMD3': 2374, 'AC023590.1': 2375, 'RP11-760H22.2': 2376, 'COL14A1': 2377, 'RP11-369K17.1': 2378, 'LINC01151': 2379, 'FAM83A': 2380, 'ATAD2': 2381, 'FBXO32': 2382, 'RP11-383J24.1': 2383, 'RP11-6D1.3': 2384, 'SQLE': 2385, 'TRIB1': 2386, 'RP11-136O12.2': 2387, 'RP11-65D17.1': 2388, 'FAM84B': 2389, 'CASC8': 2390, 'MYC': 2391, 'TMEM71': 2392, 'SLA': 2393, 'NDRG1': 2394, 'RP11-489O18.1': 2395, 'FAM135B': 2396, 'RP11-398H6.1': 2397, 'DENND3': 2398, 'RP11-10J21.6': 2399, 'GPR20': 2400, 'CTD-3064M3.7': 2401, 'RP13-467H17.1': 2402, 'ARC': 2403, 'LY6E': 2404, 'RP11-661A12.5': 2405, 'RP11-661A12.12': 2406, 'RP11-429J17.5': 2407, 'RP11-429J17.7': 2408, 'RP11-429J17.8': 2409, 'EPPK1': 2410, 'PARP10': 2411, 'CTD-2517M22.17': 2412, 'RP11-165F24.3': 2413, 'DMRT2': 2414, 'IGHEP2': 2415, 'RP11-390F4.3': 2416, 'RP11-77E14.2': 2417, 'RP11-29B9.2': 2418, 'CNTLN': 2419, 'RP11-513M16.8': 2420, 'RPS6': 2421, 'RP11-315I14.2': 2422, 'RP11-321L2.2': 2423, 'DDX58': 2424, 'DNAJA1': 2425, 'B4GALT1': 2426, 'SPINK4': 2427, 'RP11-384P7.7': 2428, 'PRSS3': 2429, 'RP11-537H15.3': 2430, 'PHF24': 2431, 'FAM214B': 2432, 'FAM166B': 2433, 'CD72': 2434, 'RP11-331F9.4': 2435, 'TLN1': 2436, 'SPAG8': 2437, 'FAM221B': 2438, 'RECK': 2439, 'CLTA': 2440, 'PAX5': 2441, 'BMS1P14': 2442, 'FAM74A7': 2443, 'RP11-475I24.8': 2444, 'FAM74A6': 2445, 'RP11-160N1.9': 2446, 'RP11-374M1.5': 2447, 'RP11-111F5.3': 2448, 'RP11-211N8.2': 2449, 'RP11-327I22.5': 2450, 'ZNF658': 2451, 'RP11-395E19.2': 2452, 'RP11-88I18.2': 2453, 'RP11-203L2.4': 2454, 'BANCR': 2455, 'MAMDC2': 2456, 'RP11-63P12.7': 2457, 'ALDH1A1': 2458, 'ANXA1': 2459, 'TRPM6': 2460, 'RFK': 2461, 'GNA14': 2462, 'TLE4': 2463, 'RP11-383M4.6': 2464, 'RP11-439K3.1': 2465, 'IDNK': 2466, 'RP11-158D2.2': 2467, 'SLC28A3': 2468, 'GAS1': 2469, 'CTSL': 2470, 'CDK20': 2471, 'NXNL2': 2472, 'CKS2': 2473, 'GADD45G': 2474, 'SYK': 2475, 'RP11-305L7.1': 2476, 'RP11-440G5.2': 2477, 'AL136097.1': 2478, 'OGN': 2479, 'FGD3': 2480, 'SUSD3': 2481, 'RP11-274J16.5': 2482, 'NINJ1': 2483, 'RP11-165J3.6': 2484, 'RP11-53B5.1': 2485, 'BARX1': 2486, 'BARX1-AS1': 2487, 'RP11-2B6.3': 2488, 'FBP1': 2489, 'RP11-435O5.7': 2490, 'NUTM2G': 2491, 'RP11-498P14.5': 2492, 'HEMGN': 2493, 'RP11-92C4.3': 2494, 'COL15A1': 2495, 'RP11-92C4.6': 2496, 'NAMA': 2497, 'GRIN3A': 2498, 'NIPSNAP3B': 2499, 'ABCA1': 2500, 'RP11-217B7.2': 2501, 'SLC44A1': 2502, 'RP11-235C23.5': 2503, 'TAL2': 2504, 'RP11-308N19.1': 2505, 'LINC01505': 2506, 'KLF4': 2507, 'FRRS1L': 2508, 'SVEP1': 2509, 'ZNF483': 2510, 'FAM225B': 2511, 'SLC31A2': 2512, 'RP11-18B16.2': 2513, 'COL27A1': 2514, 'ORM1': 2515, 'ORM2': 2516, 'AKNA': 2517, 'RP11-9M16.2': 2518, 'TNFSF15': 2519, 'TNC': 2520, 'PAPPA': 2521, 'TLR4': 2522, 'RP11-281A20.2': 2523, 'MEGF9': 2524, 'PSMD5-AS1': 2525, 'PHF19': 2526, 'TRAF1': 2527, 'CNTRL': 2528, 'GSN': 2529, 'GSN-AS1': 2530, 'STOM': 2531, 'MORN5': 2532, 'PTGS1': 2533, 'RP11-542K23.10': 2534, 'RP11-542K23.7': 2535, 'GPR21': 2536, 'HSPA5': 2537, 'TTC16': 2538, 'SH2D3C': 2539, 'ENG': 2540, 'PIP5KL1': 2541, 'SPTAN1': 2542, 'HMGA1P4': 2543, 'SET': 2544, 'ZDHHC12': 2545, 'CRAT': 2546, 'IER5L': 2547, 'RP11-247A12.8': 2548, 'C9orf106': 2549, 'RP11-65J3.3': 2550, 'RP11-65J3.14': 2551, 'RP11-492E3.51': 2552, 'RP11-492E3.2': 2553, 'C9orf50': 2554, 'PRRX2-AS1': 2555, 'PTGES': 2556, 'USP20': 2557, 'FNBP1': 2558, 'RP11-138E2.1': 2559, 'HMCN2': 2560, 'LAMC3': 2561, 'RP11-544A12.8': 2562, 'RP11-334J6.6': 2563, 'NTNG2': 2564, 'BARHL1': 2565, 'AK8': 2566, 'OBP2B': 2567, 'ADAMTS13': 2568, 'SLC2A6': 2569, 'SARDH': 2570, 'LL09NC01-139C3.1': 2571, 'RP11-473E2.4': 2572, 'FCN1': 2573, 'OBP2A': 2574, 'PAEP': 2575, 'NALT1': 2576, 'CCDC183': 2577, 'CLIC3': 2578, 'C9orf139': 2579, 'FUT7': 2580, 'RP11-229P13.15': 2581, 'SLC34A3': 2582, 'TUBB4B': 2583, 'C9orf173': 2584, 'NOXA1': 2585, 'ENTPD8': 2586, 'ODF3': 2587, 'RP11-304M2.5': 2588, 'IFITM2': 2589, 'IFITM3': 2590, 'RP13-317D12.3': 2591, 'IRF7': 2592, 'CDHR5': 2593, 'AP006621.8': 2594, 'RP13-870H17.3': 2595, 'DUSP8': 2596, 'KRTAP5-AS1': 2597, 'IFITM10': 2598, 'SYT8': 2599, 'TNNI2': 2600, 'LSP1': 2601, 'TNNT3': 2602, 'IGF2': 2603, 'C11orf21': 2604, 'TSPAN32': 2605, 'TRPM5': 2606, 'KCNQ1': 2607, 'KCNQ1OT1': 2608, 'KCNQ1-AS1': 2609, 'KCNQ1DN': 2610, 'CDKN1C': 2611, 'SLC22A18': 2612, 'PHLDA2': 2613, 'MRGPRG-AS1': 2614, 'RHOG': 2615, 'OR51E1': 2616, 'OR51E2': 2617, 'HBB': 2618, 'HBD': 2619, 'HBG1': 2620, 'HBG2': 2621, 'HBE1': 2622, 'OR51B4': 2623, 'UBQLNL': 2624, 'AC015691.13': 2625, 'TRIM6': 2626, 'TRIM5': 2627, 'TRIM22': 2628, 'SMPD1': 2629, 'RP11-732A19.8': 2630, 'TPP1': 2631, 'PPFIBP2': 2632, 'TMEM9B-AS1': 2633, 'SWAP70': 2634, 'RP11-351I24.1': 2635, 'ADM': 2636, 'MTRNR2L8': 2637, 'MRVI1-AS1': 2638, 'LYVE1': 2639, 'ZBED5-AS1': 2640, 'DKK3': 2641, 'RP13-631K18.2': 2642, 'SOX6': 2643, 'NUCB2': 2644, 'USH1C': 2645, 'OTOG': 2646, 'KCNC1': 2647, 'LDHA': 2648, 'LDHC': 2649, 'CSRP3': 2650, 'RP11-359E10.1': 2651, 'GAS2': 2652, 'SVIP': 2653, 'RP11-17A1.3': 2654, 'RP11-266A24.1': 2655, 'CTD-2507G9.1': 2656, 'SLC5A12': 2657, 'BDNF-AS': 2658, 'CTD-3012A18.1': 2659, 'MPPED2': 2660, 'Z83001.1': 2661, 'PRRG4': 2662, 'LINC00294': 2663, 'RP4-541C22.5': 2664, 'CD59': 2665, 'LMO2': 2666, 'CAT': 2667, 'EHF': 2668, 'CD44': 2669, 'SLC1A2': 2670, 'PAMR1': 2671, 'RAG2': 2672, 'C11orf96': 2673, 'CD82': 2674, 'RP11-58K22.4': 2675, 'SYT13': 2676, 'DKFZp779M0652': 2677, 'CTD-2210P24.6': 2678, 'CTD-2589M5.4': 2679, 'MDK': 2680, 'MYBPC3': 2681, 'SPI1': 2682, 'RAPSN': 2683, 'FAM180B': 2684, 'C1QTNF4': 2685, 'AGBL2': 2686, 'LRRC55': 2687, 'P2RX3': 2688, 'PRG3': 2689, 'PRG2': 2690, 'SMTNL1': 2691, 'SERPING1': 2692, 'YPEL4': 2693, 'LPXN': 2694, 'GLYAT': 2695, 'AP001258.4': 2696, 'FAM111A': 2697, 'TCN1': 2698, 'MS4A3': 2699, 'MS4A2': 2700, 'MS4A4E': 2701, 'MS4A4A': 2702, 'PTGDR2': 2703, 'SLC15A3': 2704, 'PGA3': 2705, 'PGA4': 2706, 'PGA5': 2707, 'TKFC': 2708, 'PPP1R32': 2709, 'FADS1': 2710, 'FTH1': 2711, 'SCGB1D2': 2712, 'RP11-703H8.7': 2713, 'RP11-727F15.9': 2714, 'SLC3A2': 2715, 'AP000438.2': 2716, 'SLC22A10': 2717, 'SLC22A25': 2718, 'HRASLS5': 2719, 'LGALS12': 2720, 'RARRES3': 2721, 'HRASLS2': 2722, 'PLA2G16': 2723, 'DNAJC4': 2724, 'KCNK4': 2725, 'PRDX5': 2726, 'AP003774.1': 2727, 'SLC22A11': 2728, 'ATG2A': 2729, 'PPP2R5B': 2730, 'GPHA2': 2731, 'NAALADL1': 2732, 'TM7SF2': 2733, 'AP003068.23': 2734, 'TIGD3': 2735, 'RP11-867O8.5': 2736, 'SLC25A45': 2737, 'NEAT1': 2738, 'CMB9-22P13.1': 2739, 'MALAT1': 2740, 'AP000769.1': 2741, 'OVOL1': 2742, 'OVOL1-AS1': 2743, 'RP11-770G2.5': 2744, 'EFEMP2': 2745, 'CTSW': 2746, 'CATSPER1': 2747, 'CD248': 2748, 'CCDC87': 2749, 'CCS': 2750, 'SYT12': 2751, 'POLD4': 2752, 'TBC1D10C': 2753, 'CORO1B': 2754, 'CABP4': 2755, 'GSTP1': 2756, 'ALDH3B2': 2757, 'ALDH3B1': 2758, 'RP5-901A4.1': 2759, 'CTD-2655K5.1': 2760, 'GAL': 2761, 'RP11-757G1.6': 2762, 'RP11-554A11.9': 2763, 'MYEOV': 2764, 'FGF19': 2765, 'SHANK2-AS1': 2766, 'KRTAP5-11': 2767, 'FOLR3': 2768, 'RP11-807H22.7': 2769, 'FOLR1': 2770, 'LINC01537': 2771, 'PDE2A': 2772, 'ARAP1-AS1': 2773, 'ATG16L2': 2774, 'RP11-800A3.3': 2775, 'P2RY2': 2776, 'P2RY6': 2777, 'RP11-800A3.7': 2778, 'ARHGEF17': 2779, 'PLEKHB1': 2780, 'UCP2': 2781, 'KCNE3': 2782, 'RP11-702H23.6': 2783, 'CHRDL2': 2784, 'SLCO2B1': 2785, 'TPBGL': 2786, 'RPS3': 2787, 'CTD-2530H12.4': 2788, 'MOGAT2': 2789, 'AP001189.4': 2790, 'AQP11': 2791, 'RP11-91P24.7': 2792, 'RP11-452H21.2': 2793, 'RP11-843A23.1': 2794, 'PRSS23': 2795, 'AP000654.4': 2796, 'RP11-736K20.6': 2797, 'CTSC': 2798, 'GRM5-AS1': 2799, 'NAALAD2': 2800, 'HEPHL1': 2801, 'PIWIL4': 2802, 'RP11-867G2.6': 2803, 'RP11-856F16.2': 2804, 'SESN3': 2805, 'MAML2': 2806, 'CNTN5': 2807, 'ARHGAP42': 2808, 'C11orf70': 2809, 'BIRC3': 2810, 'RP11-315O6.1': 2811, 'MMP3': 2812, 'PDGFD': 2813, 'CASP4': 2814, 'CASP1': 2815, 'CARD16': 2816, 'ELMOD1': 2817, 'COLCA1': 2818, 'CRYAB': 2819, 'IL18': 2820, 'RP11-356J5.13': 2821, 'RP11-65M17.3': 2822, 'ANKK1': 2823, 'ZBTB16': 2824, 'NNMT': 2825, 'APOC3': 2826, 'AP000936.4': 2827, 'FXYD6': 2828, 'TMPRSS13': 2829, 'IL10RA': 2830, 'SCN4B': 2831, 'JAML': 2832, 'MPZL3': 2833, 'MPZL2': 2834, 'CD3D': 2835, 'CD3G': 2836, 'KMT2A': 2837, 'UPK2': 2838, 'RP11-110I1.11': 2839, 'NLRX1': 2840, 'PDZD3': 2841, 'CBL': 2842, 'THY1': 2843, 'PVRL1': 2844, 'TRIM29': 2845, 'POU2F3': 2846, 'RP11-716H6.2': 2847, 'UBASH3B': 2848, 'C11orf63': 2849, 'HSPA8': 2850, 'VWA5A': 2851, 'OR8G1': 2852, 'OR8B8': 2853, 'ESAM': 2854, 'RP11-677M14.7': 2855, 'FEZ1': 2856, 'AP000708.1': 2857, 'PATE2': 2858, 'KIRREL3': 2859, 'ETS1': 2860, 'RP11-744N12.3': 2861, 'TP53AIP1': 2862, 'LINC01395': 2863, 'TMEM45B': 2864, 'APLP2': 2865, 'ADAMTS8': 2866, 'NTM': 2867, 'RP11-713P17.3': 2868, 'GLB1L2': 2869, 'B3GAT1': 2870, 'ADARB2': 2871, 'RP11-118K6.3': 2872, 'RP11-195B3.1': 2873, 'KLF6': 2874, 'AKR1C4': 2875, 'RP11-445P17.8': 2876, 'RP13-463N16.6': 2877, 'RP11-336A10.2': 2878, 'IL2RA': 2879, 'RP11-563J2.3': 2880, 'RP11-799O21.2': 2881, 'ITIH5': 2882, 'CELF2': 2883, 'RP3-323N1.2': 2884, 'RP11-186N15.3': 2885, 'CAMK1D': 2886, 'OPTN': 2887, 'UCMA': 2888, 'FAM107B': 2889, 'RP11-25G10.2': 2890, 'CUBN': 2891, 'VIM': 2892, 'STAM-AS1': 2893, 'RP11-354E11.2': 2894, 'MSRB2': 2895, 'OTUD1': 2896, 'APBB1IP': 2897, 'RP11-128B16.3': 2898, 'LINC00202-2': 2899, 'LINC00202-1': 2900, 'RP11-85G18.6': 2901, 'WAC-AS1': 2902, 'C10orf126': 2903, 'LYZL2': 2904, 'ZEB1': 2905, 'RP11-297A16.2': 2906, 'CREM': 2907, 'RP11-425A6.5': 2908, 'PCAT5': 2909, 'RP11-309N24.1': 2910, 'ANKRD30A': 2911, 'RP11-162G10.5': 2912, 'RP11-351D16.3': 2913, 'FXYD4': 2914, 'RP11-517P14.2': 2915, 'ZNF32-AS3': 2916, 'RASSF4': 2917, 'C10orf10': 2918, 'ALOX5': 2919, 'NCOA4': 2920, 'PTPN20': 2921, 'WDFY4': 2922, 'PGBD3': 2923, 'C10orf53': 2924, 'RP11-96B5.3': 2925, 'SLC16A9': 2926, 'CDK1': 2927, 'ARID5B': 2928, 'EGR2': 2929, 'JMJD1C': 2930, 'JMJD1C-AS1': 2931, 'RP11-179K3.2': 2932, 'RP11-153K11.3': 2933, 'DDX21': 2934, 'SRGN': 2935, 'NPFFR1': 2936, 'PRF1': 2937, 'UNC5B': 2938, 'UNC5B-AS1': 2939, 'C10orf54': 2940, 'PSAP': 2941, 'CHST3': 2942, 'SPOCK2': 2943, 'DDIT4': 2944, 'RP11-442H21.2': 2945, 'PLA2G12B': 2946, 'CFAP70': 2947, 'RP11-537A6.9': 2948, 'MYOZ1': 2949, 'RP11-464F9.21': 2950, 'ZSWIM8': 2951, 'PLAU': 2952, 'VCL': 2953, 'DUSP13': 2954, 'ZNF503-AS1': 2955, 'ZNF503': 2956, 'RP11-399K21.14': 2957, 'RP11-399K21.10': 2958, 'C10orf11': 2959, 'RP13-39P12.3': 2960, 'ZMIZ1-AS1': 2961, 'NUTM2B': 2962, 'SH2D4B': 2963, 'RP11-338I21.1': 2964, 'LINC00858': 2965, 'LDB3': 2966, 'MMRN2': 2967, 'SNCG': 2968, 'ADIRF': 2969, 'ANKRD22': 2970, 'ACTA2': 2971, 'FAS': 2972, 'IFIT2': 2973, 'IFIT3': 2974, 'IFIT1B': 2975, 'HTR7': 2976, 'HHEX': 2977, 'FFAR4': 2978, 'HELLS': 2979, 'CYP2C18': 2980, 'ENTPD1': 2981, 'BLNK': 2982, 'HOGA1': 2983, 'SFRP5': 2984, 'CRTAC1': 2985, 'PYROXD2': 2986, 'HPSE2': 2987, 'CNNM1': 2988, 'DNMBP-AS1': 2989, 'PKD2L1': 2990, 'SLF2': 2991, 'LINC01514': 2992, 'RP11-107I14.4': 2993, 'RP11-225H22.4': 2994, 'CALHM1': 2995, 'CALHM3': 2996, 'CFAP58-AS1': 2997, 'LINC01435': 2998, 'ADD3': 2999, 'DUSP5': 3000, 'RP11-313D6.3': 3001, 'SHOC2': 3002, 'ACSL5': 3003, 'RP11-324O2.3': 3004, 'ADRB1': 3005, 'ABLIM1': 3006, 'RP11-383C6.2': 3007, 'RP11-539I5.1': 3008, 'ENO4': 3009, 'EMX2OS': 3010, 'RP11-354M20.3': 3011, 'FAM45A': 3012, 'PLPP4': 3013, 'RP11-95I16.4': 3014, 'FGFR2': 3015, 'ATE1-AS1': 3016, 'RP11-500G22.4': 3017, 'TACC2': 3018, 'BTBD16': 3019, 'HMX3': 3020, 'RP11-282I1.1': 3021, 'CHST15': 3022, 'FAM53B-AS1': 3023, 'EDRF1-AS1': 3024, 'C10orf90': 3025, 'FOXI2': 3026, 'PTPRE': 3027, 'MKI67': 3028, 'LINC01163': 3029, 'TCERG1L': 3030, 'ABC11-4932300O16.1': 3031, 'RP11-432J24.5': 3032, 'CFAP46': 3033, 'KNDC1': 3034, 'MIR202HG': 3035, 'RP13-49I15.6': 3036, 'ADAM8': 3037, 'PRAP1': 3038, 'CALY': 3039, 'RP11-598F7.3': 3040, 'RP11-598F7.4': 3041, 'SLC6A13': 3042, 'FBXL14': 3043, 'CACNA2D4': 3044, 'RP5-1096D14.3': 3045, 'RP5-1096D14.6': 3046, 'CACNA1C-AS2': 3047, 'TSPAN9': 3048, 'FGF23': 3049, 'AKAP3': 3050, 'RP11-429A20.3': 3051, 'RP11-1038A11.3': 3052, 'RP11-319E16.2': 3053, 'VWF': 3054, 'CD9': 3055, 'SCNN1A': 3056, 'TAPBPL': 3057, 'RP1-102E24.10': 3058, 'GAPDH': 3059, 'IFFO1': 3060, 'RP5-940J5.8': 3061, 'LPAR5': 3062, 'ACRBP': 3063, 'RP4-761J14.10': 3064, 'CD4': 3065, 'U47924.32': 3066, 'PTPN6': 3067, 'U47924.27': 3068, 'C1RL': 3069, 'ABC12-49244600F4.4': 3070, 'NANOG': 3071, 'SLC2A3': 3072, 'C3AR1': 3073, 'CLEC4A': 3074, 'CLEC6A': 3075, 'CLEC4D': 3076, 'CLEC4E': 3077, 'RP11-20D14.6': 3078, 'A2ML1': 3079, 'A2M-AS1': 3080, 'A2M': 3081, 'KLRB1': 3082, 'CD69': 3083, 'CLEC2B': 3084, 'AC091814.3': 3085, 'OLR1': 3086, 'TMEM52B': 3087, 'GABARAPL1': 3088, 'KLRC3': 3089, 'KLRC1': 3090, 'TAS2R9': 3091, 'TAS2R46': 3092, 'LINC01252': 3093, 'RP11-180M15.6': 3094, 'CDKN1B': 3095, 'GSG1': 3096, 'EMP1': 3097, 'RP11-174G6.1': 3098, 'ART4': 3099, 'MGP': 3100, 'ERP27': 3101, 'ARHGDIB': 3102, 'PDE6H': 3103, 'EPS8': 3104, 'RERGL': 3105, 'PLCZ1': 3106, 'SLCO1A2': 3107, 'IAPP': 3108, 'LDHB': 3109, 'SOX5': 3110, 'C12orf77': 3111, 'LRMP': 3112, 'RP11-713N11.6': 3113, 'RP11-295I5.3': 3114, 'RP11-707G18.1': 3115, 'RASSF8-AS1': 3116, 'BHLHE41': 3117, 'SSPN': 3118, 'ITPR2': 3119, 'RP11-421F16.3': 3120, 'STK38L': 3121, 'RP11-709A23.1': 3122, 'RP11-860B13.1': 3123, 'PTHLH': 3124, 'RP11-946L16.1': 3125, 'RP11-946L16.2': 3126, 'RP11-996F15.4': 3127, 'RP11-771K4.1': 3128, 'RP11-467L13.7': 3129, 'KIAA1551': 3130, 'RP11-50I19.2': 3131, 'FGD4': 3132, 'SYT10': 3133, 'RP11-847H18.2': 3134, 'RP11-630C16.2': 3135, 'PRICKLE1': 3136, 'RP11-328C8.4': 3137, 'RP11-547C5.1': 3138, 'RP11-547C5.2': 3139, 'ADAMTS20': 3140, 'RP11-352M15.1': 3141, 'SLC38A2': 3142, 'RP11-96H19.1': 3143, 'RP11-474P2.4': 3144, 'RP11-474P2.6': 3145, 'AMIGO2': 3146, 'PCED1B': 3147, 'RP11-89H19.1': 3148, 'COL2A1': 3149, 'RP11-474C8.8': 3150, 'RP11-370I10.12': 3151, 'RP11-370I10.10': 3152, 'H1FNT': 3153, 'RP11-370I10.11': 3154, 'C12orf54': 3155, 'OR8S1': 3156, 'LALBA': 3157, 'RP11-579D7.4': 3158, 'RND1': 3159, 'TUBA1B': 3160, 'TUBA1A': 3161, 'TUBA1C': 3162, 'DNAJC22': 3163, 'KCNH3': 3164, 'RP11-133N21.10': 3165, 'FAIM2': 3166, 'RP11-70F11.8': 3167, 'AQP2': 3168, 'AQP6': 3169, 'LIMA1': 3170, 'METTL7A': 3171, 'RP11-407N8.5': 3172, 'DAZAP2': 3173, 'BIN2': 3174, 'CELA1': 3175, 'SLC4A8': 3176, 'RP11-923I11.3': 3177, 'ANKRD33': 3178, 'ACVRL1': 3179, 'NR4A1': 3180, 'RP11-1100L3.8': 3181, 'KRT7': 3182, 'KRT86': 3183, 'KRT81': 3184, 'KRT79': 3185, 'KRT8': 3186, 'KRT18': 3187, 'IGFBP6': 3188, 'SOAT2': 3189, 'CSAD': 3190, 'ITGB7': 3191, 'PFDN5': 3192, 'RP11-680A11.5': 3193, 'AMHR2': 3194, 'RP11-793H13.3': 3195, 'CALCOCO1': 3196, 'RP11-686F15.2': 3197, 'HOXC13': 3198, 'FLJ12825': 3199, 'RP11-834C11.5': 3200, 'RP11-834C11.15': 3201, 'RP11-834C11.11': 3202, 'RP11-968A15.2': 3203, 'RP11-753H16.3': 3204, 'GPR84': 3205, 'NCKAP1L': 3206, 'PDE1B': 3207, 'MUCL1': 3208, 'OR6C76': 3209, 'OR6C2': 3210, 'CD63': 3211, 'MMP19': 3212, 'RAB5B': 3213, 'MYL6': 3214, 'STAT2': 3215, 'APOF': 3216, 'TAC3': 3217, 'LRP1': 3218, 'STAC3': 3219, 'RP11-756H6.1': 3220, 'INHBE': 3221, 'ARHGAP9': 3222, 'DDIT3': 3223, 'DTX3': 3224, 'OS9': 3225, 'RP11-620J15.1': 3226, 'RP11-620J15.2': 3227, 'RP11-620J15.3': 3228, 'LRIG3': 3229, 'FAM19A2': 3230, 'RP11-415I12.3': 3231, 'C12orf56': 3232, 'RP11-338E21.1': 3233, 'GNS': 3234, 'RP11-629N8.3': 3235, 'MSRB3': 3236, 'RP11-230G5.2': 3237, 'HMGA2': 3238, 'RP11-123O10.4': 3239, 'RP11-81H14.2': 3240, 'RP11-637A17.2': 3241, 'RP11-1143G9.5': 3242, 'LYZ': 3243, 'RP11-1143G9.4': 3244, 'RP11-588G21.2': 3245, 'CTD-2021H9.2': 3246, 'TPH2': 3247, 'RP11-314D7.2': 3248, 'RP11-274M17.3': 3249, 'GLIPR1': 3250, 'PHLDA1': 3251, 'RP11-290L1.2': 3252, 'NAV3': 3253, 'RP11-754N21.1': 3254, 'RP11-359M6.1': 3255, 'PPP1R12A': 3256, 'RP11-263K4.3': 3257, 'TMTC2': 3258, 'NTS': 3259, 'POC1B-GALNT4': 3260, 'LINC00936': 3261, 'LUM': 3262, 'DCN': 3263, 'RP11-693J15.6': 3264, 'BTG1': 3265, 'RP11-796E2.4': 3266, 'CLLU1': 3267, 'RP11-693J15.5': 3268, 'PLEKHG7': 3269, 'RP11-511B23.1': 3270, 'RP11-511B23.2': 3271, 'RP11-202G11.2': 3272, 'RP11-486A14.2': 3273, 'SOCS2': 3274, 'RP11-887P2.5': 3275, 'AMDHD1': 3276, 'HAL': 3277, 'RP11-256L6.3': 3278, 'RP11-256L6.2': 3279, 'RP11-181C3.1': 3280, 'SLC17A8': 3281, 'RP11-285E23.2': 3282, 'PMCH': 3283, 'IGF1': 3284, 'ASCL1': 3285, 'HSP90B1': 3286, 'GLT8D2': 3287, 'RP11-818F20.5': 3288, 'RP11-61E11.1': 3289, 'CKAP4': 3290, 'RP11-651L5.3': 3291, 'TCP11L2': 3292, 'SELPLG': 3293, 'USP30-AS1': 3294, 'RP11-837J7.4': 3295, 'ARPC3': 3296, 'HVCN1': 3297, 'RP3-473L9.4': 3298, 'RASAL1': 3299, 'SDSL': 3300, 'LHX5-AS1': 3301, 'TBX3': 3302, 'RP11-497G19.7': 3303, 'RP11-240G22.5': 3304, 'TESC': 3305, 'RP11-136L23.2': 3306, 'TAOK3': 3307, 'RP11-131L12.2': 3308, 'SRRM4': 3309, 'HSPB8': 3310, 'CCDC60': 3311, 'TMEM233': 3312, 'RP1-127H14.3': 3313, 'PLA2G1B': 3314, 'GATC': 3315, 'DYNLL1': 3316, 'HNF1A': 3317, 'OASL': 3318, 'P2RX7': 3319, 'P2RX4': 3320, 'RP11-711D18.2': 3321, 'MORN3': 3322, 'RP11-347I19.8': 3323, 'LRRC43': 3324, 'HCAR2': 3325, 'RP11-197N18.7': 3326, 'RP11-338K17.8': 3327, 'RP11-380L11.4': 3328, 'DNAH10OS': 3329, 'UBC': 3330, 'THRIL': 3331, 'LINC00939': 3332, 'LINC00944': 3333, 'LINC00507': 3334, 'RP11-669N7.2': 3335, 'ADGRD1': 3336, 'RP11-243M5.1': 3337, 'RP13-507P19.2': 3338, 'RP11-417L19.2': 3339, 'RP13-977J11.9': 3340, 'RP13-977J11.2': 3341, 'GALNT9': 3342, 'RP13-895J2.6': 3343, 'RP13-714J12.1': 3344, 'RP13-672B3.2': 3345, 'RP11-46H11.3': 3346, 'RP11-442J17.3': 3347, 'TUBA3C': 3348, 'CRYL1': 3349, 'LINC00539': 3350, 'LINC00540': 3351, 'LINC00327': 3352, 'TNFRSF19': 3353, 'RP11-271M24.2': 3354, 'ATP8A2': 3355, 'GPR12': 3356, 'USP12-AS2': 3357, 'RP11-428O18.6': 3358, 'CDX2': 3359, 'FLT1': 3360, 'SLC46A3': 3361, 'LINC00427': 3362, 'ALOX5AP': 3363, 'TEX26-AS1': 3364, 'LINC00545': 3365, 'FRY': 3366, 'N4BP2L1': 3367, 'N4BP2L2': 3368, 'NBEA': 3369, 'SMAD9': 3370, 'TRPC4': 3371, 'RP11-93G5.1': 3372, 'LINC00571': 3373, 'LINC00437': 3374, 'NHLRC3': 3375, 'LINC00548': 3376, 'ELF1': 3377, 'RGCC': 3378, 'EPSTI1': 3379, 'DNAJC15': 3380, 'CCDC122': 3381, 'SMIM2-AS1': 3382, 'SERP2': 3383, 'TUSC8': 3384, 'TSC22D1': 3385, 'TSC22D1-AS1': 3386, 'TPT1-AS1': 3387, 'RP11-290D2.3': 3388, 'SLC25A30-AS1': 3389, 'KIAA0226L': 3390, 'RP11-279N8.1': 3391, 'ITM2B': 3392, 'LPAR6': 3393, 'LINC00462': 3394, 'CYSLTR2': 3395, 'FNDC3A': 3396, 'SETDB2': 3397, 'ARL11': 3398, 'DLEU7-AS1': 3399, 'FAM124A': 3400, 'SERPINE3': 3401, 'INTS6': 3402, 'INTS6-AS1': 3403, 'CCDC70': 3404, 'CKAP2': 3405, 'LECT1': 3406, 'PCDH8': 3407, 'PCDH17': 3408, 'PCDH9': 3409, 'COMMD6': 3410, 'LMO7DN': 3411, 'RP11-52L5.6': 3412, 'SLITRK6': 3413, 'SLITRK5': 3414, 'LINC00379': 3415, 'SOX21': 3416, 'DNAJC3-AS1': 3417, 'DNAJC3': 3418, 'HS6ST3': 3419, 'RP11-65L19.4': 3420, 'FARP1': 3421, 'FARP1-AS1': 3422, 'STK24-AS1': 3423, 'SLC15A1': 3424, 'GPR183': 3425, 'RP11-214F16.8': 3426, 'LINC00449': 3427, 'PCCA-AS1': 3428, 'RP11-29B2.6': 3429, 'TEX30': 3430, 'LINC00460': 3431, 'EFNB2': 3432, 'ARGLU1': 3433, 'MYO16': 3434, 'RP11-54H7.4': 3435, 'LINC00370': 3436, 'LINC00346': 3437, 'ANKRD10': 3438, 'LINC00431': 3439, 'MCF2L': 3440, 'F10-AS1': 3441, 'GRTP1-AS1': 3442, 'TMEM255B': 3443, 'LINC00565': 3444, 'CTD-2314B22.1': 3445, 'TEP1': 3446, 'RNASE6': 3447, 'RNASE3': 3448, 'RP11-219E7.4': 3449, 'RNASE2': 3450, 'SLC39A2': 3451, 'RNASE7': 3452, 'RPGRIP1': 3453, 'TRDV2': 3454, 'TRDC': 3455, 'TRAC': 3456, 'AE000662.92': 3457, 'ABHD4': 3458, 'LRP10': 3459, 'CEBPE': 3460, 'SLC7A8': 3461, 'PPP1R3E': 3462, 'CMTM5': 3463, 'MYH6': 3464, 'JPH4': 3465, 'DHRS2': 3466, 'PSME1': 3467, 'RP11-468E2.5': 3468, 'RP11-468E2.4': 3469, 'IRF9': 3470, 'REC8': 3471, 'RP11-468E2.10': 3472, 'TSSK4': 3473, 'CIDEB': 3474, 'ADCY4': 3475, 'RP11-80A15.1': 3476, 'GZMB': 3477, 'LINC00645': 3478, 'RP11-596D21.1': 3479, 'CTD-2213F21.3': 3480, 'NPAS3': 3481, 'NFKBIA': 3482, 'RP11-259K15.2': 3483, 'NKX2-8': 3484, 'FOXA1': 3485, 'TTC6': 3486, 'RP11-111A21.1': 3487, 'RP11-662J14.2': 3488, 'KLHL28': 3489, 'LINC00871': 3490, 'MDGA2': 3491, 'RP11-831F12.2': 3492, 'MAP4K5': 3493, 'ATL1': 3494, 'RP11-286O18.1': 3495, 'PYGL': 3496, 'ABHD12B': 3497, 'RP11-102G14.1': 3498, 'GNG2': 3499, 'RP11-841O20.2': 3500, 'RP11-589M4.3': 3501, 'SAMD4A': 3502, 'LGALS3': 3503, 'RP11-665C16.6': 3504, 'LINC00520': 3505, 'RP11-930O11.3': 3506, 'RP11-1085N6.3': 3507, 'OTX2-AS1': 3508, 'RP11-932A10.1': 3509, 'C14orf105': 3510, 'RP11-409I10.2': 3511, 'C14orf37': 3512, 'TOMM20L': 3513, 'RP11-16B13.1': 3514, 'CTD-2184C24.2': 3515, 'HIF1A-AS1': 3516, 'HIF1A-AS2': 3517, 'CTD-2302E22.4': 3518, 'CTD-2555O16.1': 3519, 'ZBTB25': 3520, 'ZBTB1': 3521, 'HSPA2': 3522, 'GPX2': 3523, 'RP11-840I19.5': 3524, 'MPP5': 3525, 'ATP6V1D': 3526, 'TMEM229B': 3527, 'CTD-2566J3.1': 3528, 'ZFP36L1': 3529, 'RP11-817G13.3': 3530, 'CCDC177': 3531, 'SLC10A1': 3532, 'SMOC1': 3533, 'RP11-486O13.2': 3534, 'ADAM20P1': 3535, 'ADAM20': 3536, 'LINC01269': 3537, 'RP6-65G23.5': 3538, 'RGS6': 3539, 'AC005477.1': 3540, 'RP4-647C14.2': 3541, 'NUMB': 3542, 'RP4-693M11.3': 3543, 'ELMSAN1': 3544, 'RP5-1021I20.1': 3545, 'RP5-1021I20.5': 3546, 'FAM161B': 3547, 'RP3-449M8.9': 3548, 'NPC2': 3549, 'CTD-3075F15.1': 3550, 'FOS': 3551, 'LINC01220': 3552, 'VASH1': 3553, 'LRRC74A': 3554, 'RP11-7F17.8': 3555, 'RP11-7F17.5': 3556, 'ADCK1': 3557, 'RP11-406A9.2': 3558, 'FLRT2': 3559, 'RP11-1152H15.1': 3560, 'GPR65': 3561, 'LINC01146': 3562, 'RP11-507K2.2': 3563, 'RP11-356K23.2': 3564, 'ITPK1-AS1': 3565, 'IFI27L2': 3566, 'PPP4R4': 3567, 'DICER1-AS1': 3568, 'TCL1A': 3569, 'RP11-164H13.1': 3570, 'RP11-433J8.1': 3571, 'RP11-433J8.2': 3572, 'LINC01550': 3573, 'RP11-688G15.3': 3574, 'RP11-543C4.1': 3575, 'HHIPL1': 3576, 'SLC25A47': 3577, 'RP11-638I2.9': 3578, 'DLK1': 3579, 'RP11-8L8.2': 3580, 'CTD-2017C7.2': 3581, 'RP11-1017G21.6': 3582, 'HSP90AA1': 3583, 'RP11-365N19.2': 3584, 'TNFAIP2': 3585, 'RP11-45P15.4': 3586, 'CKB': 3587, 'LINC00637': 3588, 'C14orf180': 3589, 'CTD-3051D23.1': 3590, 'PLD4': 3591, 'GPR132': 3592, 'IGHV4-34': 3593, 'RP11-854K16.3': 3594, 'RP11-32B5.7': 3595, 'GOLGA6L22': 3596, 'GOLGA6L1': 3597, 'NPAP1': 3598, 'GABRG3': 3599, 'RP11-578F21.6': 3600, 'FAM189A1': 3601, 'RP11-680F8.3': 3602, 'CHRFAM7A': 3603, 'AC026150.8': 3604, 'GOLGA8Q': 3605, 'RP11-932O9.7': 3606, 'RP11-16E12.1': 3607, 'RP11-1000B6.8': 3608, 'GOLGA8N': 3609, 'RP11-1000B6.5': 3610, 'SCG5': 3611, 'RP11-3D4.4': 3612, 'CHRM5': 3613, 'SLC12A6': 3614, 'RP11-1084A12.2': 3615, 'ACTC1': 3616, 'RP11-128A17.1': 3617, 'C15orf53': 3618, 'THBS1': 3619, 'RP11-521C20.5': 3620, 'BMF': 3621, 'PAK6': 3622, 'PLCB2': 3623, 'RP11-133K1.6': 3624, 'PPP1R14D': 3625, 'SPINT1': 3626, 'CHP1': 3627, 'NUSAP1': 3628, 'RP11-380D11.2': 3629, 'JMJD7-PLA2G4B': 3630, 'PLA2G4E-AS1': 3631, 'CAPN3': 3632, 'RP11-265N6.2': 3633, 'EPB42': 3634, 'TGM5': 3635, 'MAP1A': 3636, 'STRC': 3637, 'PATL2': 3638, 'B2M': 3639, 'C15orf43': 3640, 'DUOXA2': 3641, 'DUOXA1': 3642, 'RP11-519G16.2': 3643, 'SLC28A2': 3644, 'SHC4': 3645, 'RP11-138E16.1': 3646, 'SECISBP2L': 3647, 'ATP8B4': 3648, 'CTD-2647E9.3': 3649, 'HDC': 3650, 'GABPB1-AS1': 3651, 'CTD-2378E12.1': 3652, 'CYP19A1': 3653, 'RP11-108K3.2': 3654, 'RP11-707P17.2': 3655, 'SCG3': 3656, 'TMOD2': 3657, 'RP11-56B16.5': 3658, 'GNB5': 3659, 'CTD-2184D3.7': 3660, 'CCPG1': 3661, 'PRTG': 3662, 'MYZAP': 3663, 'LIPC': 3664, 'RP11-50C13.1': 3665, 'CCNB2': 3666, 'ANXA2': 3667, 'RP11-299H22.1': 3668, 'TPM1': 3669, 'RP11-244F12.2': 3670, 'RP11-69G7.1': 3671, 'LACTB': 3672, 'AC007950.1': 3673, 'DAPK2': 3674, 'PPIB': 3675, 'KIAA0101': 3676, 'OAZ2': 3677, 'PIF1': 3678, 'CTD-2017F17.1': 3679, 'RASL12': 3680, 'RP11-325L12.7': 3681, 'IGDCC3': 3682, 'RP11-798K3.2': 3683, 'RP11-34F13.2': 3684, 'NOX5': 3685, 'EWSAT1': 3686, 'PCAT29': 3687, 'LARP6': 3688, 'RP11-1006G14.1': 3689, 'HIGD2B': 3690, 'ADPGK-AS1': 3691, 'ISLR2': 3692, 'STRA6': 3693, 'CYP11A1': 3694, 'CTD-2311M21.3': 3695, 'SEMA7A': 3696, 'CTD-3154N5.2': 3697, 'CTD-3154N5.1': 3698, 'CYP1A1': 3699, 'PTPN9': 3700, 'CTD-2026K11.4': 3701, 'DNM1P35': 3702, 'NRG4': 3703, 'TMEM266': 3704, 'RP11-593F23.1': 3705, 'ISL2': 3706, 'LINGO1-AS1': 3707, 'RP11-114H24.6': 3708, 'SH2D7': 3709, 'RP11-650L12.1': 3710, 'PSMA4': 3711, 'CHRNA3': 3712, 'RP11-16K12.1': 3713, 'BCL2A1': 3714, 'RP11-210M15.1': 3715, 'ABHD17C': 3716, 'IL16': 3717, 'STARD5': 3718, 'LINC01583': 3719, 'CPEB1-AS1': 3720, 'RP11-752G15.8': 3721, 'TM6SF1': 3722, 'RP11-182J1.5': 3723, 'AKAP13': 3724, 'RP11-815J21.4': 3725, 'RP11-158M2.4': 3726, 'NTRK3': 3727, 'ISG20': 3728, 'ACAN': 3729, 'MFGE8': 3730, 'ARPIN': 3731, 'IDH2': 3732, 'NGRN': 3733, 'RP11-697E2.11': 3734, 'CTD-3065B20.3': 3735, 'FURIN': 3736, 'FES': 3737, 'AC068831.15': 3738, 'PRC1': 3739, 'SV2B': 3740, 'CRAT37': 3741, 'ST8SIA2': 3742, 'CHD2': 3743, 'RGMA': 3744, 'RP11-76E17.2': 3745, 'RP11-76E17.3': 3746, 'NR2F2-AS1': 3747, 'RP11-327J17.8': 3748, 'NR2F2': 3749, 'ARRDC4': 3750, 'RP11-6O2.2': 3751, 'CTD-3076O17.1': 3752, 'CERS3': 3753, 'RP11-505E24.3': 3754, 'RP11-505E24.2': 3755, 'RP11-424I19.2': 3756, 'AC140725.4': 3757, 'HBZ': 3758, 'HBA2': 3759, 'HBA1': 3760, 'FAM234A': 3761, 'AC004754.3': 3762, 'NHLRC4': 3763, 'LA16c-349E10.1': 3764, 'LA16c-306A4.1': 3765, 'RP11-616M22.7': 3766, 'LA16c-358B7.3': 3767, 'LA16c-390E6.4': 3768, 'HAGH': 3769, 'XX-DJ76P10__A.2': 3770, 'HS3ST6': 3771, 'MSRB1': 3772, 'RPL3L': 3773, 'SNHG9': 3774, 'NOXO1': 3775, 'NPW': 3776, 'RP11-715J22.3': 3777, 'CTD-3126B10.4': 3778, 'PRSS22': 3779, 'LA16c-321D4.2': 3780, 'LA16c-380H5.3': 3781, 'CLDN9': 3782, 'CLDN6': 3783, 'TNFRSF12A': 3784, 'CCDC64B': 3785, 'MMP25': 3786, 'IL32': 3787, 'RP11-473M20.16': 3788, 'AJ003147.8': 3789, 'OR1F1': 3790, 'LINC00921': 3791, 'LA16c-360H6.3': 3792, 'MTRNR2L4': 3793, 'RP11-461A8.1': 3794, 'DNASE1': 3795, 'RP11-461A8.5': 3796, 'VASN': 3797, 'RP11-127I20.5': 3798, 'ROGDI': 3799, 'RP11-165E7.1': 3800, 'C16orf89': 3801, 'RBFOX1': 3802, 'ABAT': 3803, 'CARHSP1': 3804, 'RP11-77H9.5': 3805, 'ATF7IP2': 3806, 'RP11-609N14.1': 3807, 'RP11-876N24.2': 3808, 'RP11-396B14.2': 3809, 'SOCS1': 3810, 'RP11-486I11.2': 3811, 'CTD-3037G24.4': 3812, 'CPPED1': 3813, 'SHISA9': 3814, 'CTD-2135D7.2': 3815, 'CTD-2135D7.5': 3816, 'PLA2G10': 3817, 'RP11-680G24.6': 3818, 'C16orf45': 3819, 'MYH11': 3820, 'ARL6IP1': 3821, 'ITPRIPL2': 3822, 'RP11-626G11.3': 3823, 'ACSM5': 3824, 'ACSM3': 3825, 'ACSM1': 3826, 'ANKS4B': 3827, 'CRYM': 3828, 'METTL9': 3829, 'IGSF6': 3830, 'RP11-21M24.2': 3831, 'PLK1': 3832, 'CTD-2196E14.5': 3833, 'ERN2': 3834, 'PRKCB': 3835, 'CACNG3': 3836, 'CTD-2540M10.1': 3837, 'RP11-266L9.5': 3838, 'LCMT1-AS2': 3839, 'AQP8': 3840, 'AC002331.1': 3841, 'IL21R': 3842, 'APOBR': 3843, 'IL27': 3844, 'NUPR1': 3845, 'NPIPB8': 3846, 'RP11-1348G14.5': 3847, 'RP11-426C22.5': 3848, 'QPRT': 3849, 'C16orf54': 3850, 'AC009133.17': 3851, 'PRRT2': 3852, 'MVP': 3853, 'ASPHD1': 3854, 'TMEM219': 3855, 'YPEL3': 3856, 'CORO1A': 3857, 'RP11-455F5.5': 3858, 'ITGAL': 3859, 'RP11-297C4.3': 3860, 'CCDC189': 3861, 'ORAI3': 3862, 'HSD3B7': 3863, 'RP11-196G11.2': 3864, 'RP11-388M20.2': 3865, 'PRSS8': 3866, 'PYCARD': 3867, 'TRIM72': 3868, 'PYDC1': 3869, 'ITGAM': 3870, 'ITGAX': 3871, 'COX6A2': 3872, 'ZNF843': 3873, 'RP11-452L6.1': 3874, 'AHSP': 3875, 'CTD-2358C21.5': 3876, 'IGHV2OR16-5': 3877, 'RP11-46D6.1': 3878, 'ORC6': 3879, 'ITFG1-AS1': 3880, 'RP11-42I10.1': 3881, 'SNX20': 3882, 'NOD2': 3883, 'RP11-327F22.2': 3884, 'CASC16': 3885, 'RP11-357N13.3': 3886, 'RP11-324D17.3': 3887, 'IRX6': 3888, 'MMP2': 3889, 'LPCAT2': 3890, 'RP11-212I21.4': 3891, 'SLC6A2': 3892, 'RP11-413H22.3': 3893, 'MT2A': 3894, 'MT1E': 3895, 'MT1M': 3896, 'MT1F': 3897, 'MT1G': 3898, 'HERPUD1': 3899, 'NLRC5': 3900, 'CCL22': 3901, 'ADGRG5': 3902, 'ADGRG1': 3903, 'ADGRG3': 3904, 'RP11-405F3.4': 3905, 'DRC7': 3906, 'CTD-2600O9.1': 3907, 'CNGB1': 3908, 'NDRG4': 3909, 'RP11-21L1.1': 3910, 'RP11-403P17.3': 3911, 'RP11-403P17.4': 3912, 'CMTM2': 3913, 'RRAD': 3914, 'CES4A': 3915, 'LRRC36': 3916, 'TPPP3': 3917, 'AGRP': 3918, 'CTD-2012K14.6': 3919, 'EDC4': 3920, 'DPEP2': 3921, 'CTC-479C5.6': 3922, 'PLA2G15': 3923, 'RP11-96D1.7': 3924, 'SMPD3': 3925, 'RP11-615I2.6': 3926, 'RP11-529K1.4': 3927, 'IL34': 3928, 'HYDIN': 3929, 'CMTR2': 3930, 'RP11-510M2.2': 3931, 'TAT': 3932, 'PHLPP2': 3933, 'PKD1L3': 3934, 'HP': 3935, 'RP11-328J14.1': 3936, 'AC004158.3': 3937, 'ZFHX3': 3938, 'RP11-346C20.3': 3939, 'RP11-252A24.5': 3940, 'RP11-58C22.2': 3941, 'RP11-538I12.2': 3942, 'MAF': 3943, 'RP11-70D24.2': 3944, 'DYNLRB2': 3945, 'LINC01227': 3946, 'RP11-303E16.3': 3947, 'RP11-55K13.1': 3948, 'RP11-960L18.1': 3949, 'PLCG2': 3950, 'HSD17B2': 3951, 'RP11-510J16.5': 3952, 'OSGIN1': 3953, 'DNAAF1': 3954, 'RP11-486L19.2': 3955, 'WFDC1': 3956, 'COTL1': 3957, 'CRISPLD2': 3958, 'KIAA0513': 3959, 'FAM92B': 3960, 'RP11-442O1.4': 3961, 'RP11-442O1.3': 3962, 'RP11-568J23.6': 3963, 'FENDRR': 3964, 'FOXF1': 3965, 'RP11-463O9.9': 3966, 'RP11-134D3.2': 3967, 'MAP1LC3B': 3968, 'IL17C': 3969, 'CYBA': 3970, 'RP5-1142A6.5': 3971, 'RP5-1142A6.2': 3972, 'CBFA2T3': 3973, 'LINC00304': 3974, 'CDH15': 3975, 'AC137932.4': 3976, 'RP11-104N10.1': 3977, 'VPS9D1': 3978, 'TUBB3': 3979, 'RP11-566K11.5': 3980, 'RP11-356C4.3': 3981, 'AC108004.3': 3982, 'FAM101B': 3983, 'RP11-818O24.3': 3984, 'SLC43A2': 3985, 'TLCD2': 3986, 'MIR22HG': 3987, 'SERPINF2': 3988, 'SERPINF1': 3989, 'CTD-2545H1.2': 3990, 'RP11-667K14.3': 3991, 'RP1-59D14.10': 3992, 'RP1-59D14.5': 3993, 'RP11-74E22.5': 3994, 'RP11-74E22.8': 3995, 'OR3A1': 3996, 'ASPA': 3997, 'RP11-235E17.2': 3998, 'TAX1BP3': 3999, 'CTD-3195I5.3': 4000, 'P2RX1': 4001, 'CYB5D2': 4002, 'RP11-810M2.2': 4003, 'SPNS3': 4004, 'SPNS2': 4005, 'GGT6': 4006, 'SMTNL2': 4007, 'ALOX15': 4008, 'ZMYND15': 4009, 'TM4SF5': 4010, 'RP11-81A22.5': 4011, 'CHRNE': 4012, 'RP5-1050D4.2': 4013, 'AC109333.10': 4014, 'SLC52A1': 4015, 'SCIMP': 4016, 'WSCD1': 4017, 'AIPL1': 4018, 'CTC-281F24.5': 4019, 'FBXO39': 4020, 'ALOX12': 4021, 'CLEC10A': 4022, 'ASGR2': 4023, 'CLDN7': 4024, 'ACAP1': 4025, 'CD68': 4026, 'SHBG': 4027, 'SAT2': 4028, 'ATP1B2': 4029, 'DNAH2': 4030, 'KDM6B': 4031, 'TMEM88': 4032, 'GUCY2D': 4033, 'ALOX15B': 4034, 'HES7': 4035, 'VAMP2': 4036, 'ODF4': 4037, 'RNF222': 4038, 'CFAP52': 4039, 'GAS7': 4040, 'DNAH9': 4041, 'RP11-131K5.2': 4042, 'PMP22': 4043, 'TEKT3': 4044, 'CDRT4': 4045, 'RP11-385D13.1': 4046, 'UBB': 4047, 'LRRC75A': 4048, 'CCDC144A': 4049, 'RP11-416I2.1': 4050, 'MPRIP-AS1': 4051, 'RASD1': 4052, 'RAI1-AS1': 4053, 'RP1-253P7.4': 4054, 'MYO15A': 4055, 'FBXW10': 4056, 'SLC5A10': 4057, 'GRAP': 4058, 'GRAPL': 4059, 'CTC-457L16.2': 4060, 'MFAP4': 4061, 'ALDH3A2': 4062, 'RP11-209D14.2': 4063, 'AC004702.2': 4064, 'MAP2K3': 4065, 'RP11-822E23.7': 4066, 'FLJ36000': 4067, 'RP11-744K17.1': 4068, 'WSB1': 4069, 'LGALS9': 4070, 'RP11-138P22.1': 4071, 'LYRM9': 4072, 'CTD-2008P7.8': 4073, 'CTD-2008P7.1': 4074, 'VTN': 4075, 'FOXN1': 4076, 'AC010761.14': 4077, 'AC010761.6': 4078, 'RP11-20B24.2': 4079, 'PIPOX': 4080, 'SEZ6': 4081, 'CORO6': 4082, 'RP11-82O19.1': 4083, 'RP11-338L22.2': 4084, 'RP11-354P11.4': 4085, 'RP11-354P11.2': 4086, 'CPD': 4087, 'ADAP2': 4088, 'RP11-848P1.3': 4089, 'OMG': 4090, 'EVI2B': 4091, 'EVI2A': 4092, 'AC003101.1': 4093, 'RP11-227G15.10': 4094, 'RP11-227G15.11': 4095, 'RP11-227G15.8': 4096, 'RP11-466A19.1': 4097, 'RP11-220C2.1': 4098, 'CCL2': 4099, 'SLFN5': 4100, 'SLFN13': 4101, 'MMP28': 4102, 'HEATR9': 4103, 'AC015849.2': 4104, 'CCL5': 4105, 'CCL16': 4106, 'CCL3': 4107, 'CCL4': 4108, 'AC131056.3': 4109, 'CCL3L3': 4110, 'CCL4L2': 4111, 'TBC1D3I': 4112, 'CTD-3194G12.2': 4113, 'RP11-445F12.1': 4114, 'LHX1': 4115, 'RP11-445F12.2': 4116, 'SYNRG': 4117, 'RP11-697E22.1': 4118, 'SRCIN1': 4119, 'CTB-58E17.9': 4120, 'AC006449.2': 4121, 'PSMB3': 4122, 'RP1-56K13.2': 4123, 'LINC00672': 4124, 'ARL5C': 4125, 'STAC2': 4126, 'FBXL20': 4127, 'NEUROD2': 4128, 'PPP1R1B': 4129, 'PNMT': 4130, 'IKZF3': 4131, 'GSDMB': 4132, 'RP11-387H17.4': 4133, 'RARA-AS1': 4134, 'TOP2A': 4135, 'IGFBP4': 4136, 'RP5-1028K7.2': 4137, 'CCR7': 4138, 'KRTAP9-9': 4139, 'KRT33B': 4140, 'KRT19': 4141, 'KRT14': 4142, 'KRT17': 4143, 'EIF1': 4144, 'GAST': 4145, 'HAP1': 4146, 'KLHL10': 4147, 'DHX58': 4148, 'RP11-358B23.5': 4149, 'PTRF': 4150, 'CCR10': 4151, 'CTD-3193K9.4': 4152, 'VAT1': 4153, 'NBR1': 4154, 'TMEM106A': 4155, 'LINC00910': 4156, 'SOST': 4157, 'CD300LG': 4158, 'CTB-175E5.7': 4159, 'RP5-882C2.2': 4160, 'SLC4A1': 4161, 'RUNDC3A-AS1': 4162, 'GRN': 4163, 'GFAP': 4164, 'KIF18B': 4165, 'AC142472.6': 4166, 'AC002117.1': 4167, 'RP13-890H12.2': 4168, 'CTD-2020K17.1': 4169, 'FMNL1': 4170, 'RP11-798G7.5': 4171, 'MAPT-AS1': 4172, 'MYL4': 4173, 'CTD-2026D20.2': 4174, 'SP6': 4175, 'RP11-6N17.2': 4176, 'SKAP1': 4177, 'RP11-433M22.2': 4178, 'HOXB2': 4179, 'HOXB-AS1': 4180, 'HOXB3': 4181, 'HOXB-AS3': 4182, 'HOXB4': 4183, 'HOXB5': 4184, 'HOXB6': 4185, 'HOXB9': 4186, 'HOXB-AS4': 4187, 'CTD-2377D24.6': 4188, 'TTLL6': 4189, 'GIP': 4190, 'B4GALNT2': 4191, 'GNGT2': 4192, 'PHOSPHO1': 4193, 'RP11-1079K10.3': 4194, 'NGFR': 4195, 'NXPH3': 4196, 'TAC4': 4197, 'RP11-304F15.4': 4198, 'DLX4': 4199, 'ITGA3': 4200, 'SGCA': 4201, 'COL1A1': 4202, 'RP11-893F2.5': 4203, 'EPN3': 4204, 'CACNA1G': 4205, 'RP11-294J22.6': 4206, 'WFIKKN2': 4207, 'RP11-700H6.2': 4208, 'NME1': 4209, 'RP11-1018N14.1': 4210, 'ANKFN1': 4211, 'RP11-670E13.6': 4212, 'SCPEP1': 4213, 'RP11-166P13.3': 4214, 'EPX': 4215, 'RP11-506H21.5': 4216, 'BZRAP1-AS1': 4217, 'RP5-1171I10.5': 4218, 'RNF43': 4219, 'SEPT4-AS1': 4220, 'AC099850.1': 4221, 'YPEL2': 4222, 'LINC01476': 4223, 'VMP1': 4224, 'CTD-2319I12.2': 4225, 'CA4': 4226, 'C17orf64': 4227, 'RP11-136H19.1': 4228, 'TBX2': 4229, 'CTD-3035K23.6': 4230, 'MRC2': 4231, 'RP11-269G24.6': 4232, 'ACE': 4233, 'CTD-2501B8.1': 4234, 'KCNH6': 4235, 'LIMD2': 4236, 'GH2': 4237, 'GH1': 4238, 'PRR29-AS1': 4239, 'PECAM1': 4240, 'MILR1': 4241, 'RP11-583F2.2': 4242, 'RP11-583F2.5': 4243, 'RP11-160O5.1': 4244, 'RP11-74H8.1': 4245, 'BPTF': 4246, 'KPNA2': 4247, 'AC145343.2': 4248, 'RP11-147L13.12': 4249, 'RP11-147L13.14': 4250, 'RP11-147L13.8': 4251, 'RP11-147L13.15': 4252, 'ARSG': 4253, 'WIPI1': 4254, 'FAM20A': 4255, 'ABCA9': 4256, 'ABCA6': 4257, 'ABCA5': 4258, 'MAP2K6': 4259, 'LINC01483': 4260, 'SSTR2': 4261, 'DNAI2': 4262, 'CD300A': 4263, 'RAB37': 4264, 'CD300LF': 4265, 'HID1': 4266, 'HN1': 4267, 'RP11-16C1.1': 4268, 'MYO15B': 4269, 'SMIM5': 4270, 'WBP2': 4271, 'CTD-2246P4.1': 4272, 'LINC00868': 4273, 'RP11-13K12.2': 4274, 'RP11-13K12.1': 4275, 'C17orf99': 4276, 'AFMID': 4277, 'BIRC5': 4278, 'AC061992.2': 4279, 'SOCS3': 4280, 'TIMP2': 4281, 'LGALS3BP': 4282, 'C1QTNF1-AS1': 4283, 'RBFOX3': 4284, 'HP09025': 4285, 'RP11-353N14.1': 4286, 'RP11-334C17.5': 4287, 'RNF213': 4288, 'BAIAP2-AS1': 4289, 'RP11-1055B8.3': 4290, 'ACTG1': 4291, 'TSPAN10': 4292, 'GCGR': 4293, 'PPP1R27': 4294, 'P4HB': 4295, 'RP11-498C9.16': 4296, 'SIRT7': 4297, 'SLC16A3': 4298, 'RP13-516M14.4': 4299, 'CD7': 4300, 'UTS2R': 4301, 'RP11-497H17.1': 4302, 'AC144831.3': 4303, 'AC144831.1': 4304, 'AC139099.6': 4305, 'RP11-806L2.2': 4306, 'CTD-2015H3.1': 4307, 'RP11-737O24.5': 4308, 'MYOM1': 4309, 'MYL12A': 4310, 'GAPLINC': 4311, 'DLGAP1-AS1': 4312, 'L3MBTL4-AS1': 4313, 'ANKRD12': 4314, 'LINC01254': 4315, 'APCDD1': 4316, 'RP11-820I16.4': 4317, 'ANKRD62': 4318, 'RP11-773H22.4': 4319, 'CYP4F35P': 4320, 'RP11-13N13.6': 4321, 'RP11-627G18.2': 4322, 'HRH4': 4323, 'RP11-178F10.2': 4324, 'DSC3': 4325, 'DSC2': 4326, 'DSCAS': 4327, 'DSC1': 4328, 'DSG1-AS1': 4329, 'RNF125': 4330, 'RP11-53I6.4': 4331, 'RP11-294N21.3': 4332, 'ZNF397': 4333, 'ZNF396': 4334, 'RP11-905K4.1': 4335, 'RP11-49I11.1': 4336, 'FHOD3': 4337, 'CELF4': 4338, 'KC6': 4339, 'SYT4': 4340, 'SETBP1': 4341, 'SIGLEC15': 4342, 'RNF165': 4343, 'RP11-49K24.8': 4344, 'RP11-484L8.1': 4345, 'RPL17-C18orf32': 4346, 'MIR1539': 4347, 'LIPG': 4348, 'SNHG22': 4349, 'CFAP53': 4350, 'RP11-729L2.2': 4351, 'DCC': 4352, 'TCF4': 4353, 'RP11-397A16.3': 4354, 'ALPK2': 4355, 'RP11-1151B14.4': 4356, 'PMAIP1': 4357, 'TNFRSF11A': 4358, 'RP11-635N19.1': 4359, 'SERPINB4': 4360, 'SERPINB8': 4361, 'CNDP1': 4362, 'RP11-162A12.2': 4363, 'RP11-862L9.3': 4364, 'MBP': 4365, 'RP11-248M19.1': 4366, 'AC139100.3': 4367, 'TRIB3': 4368, 'SLC52A3': 4369, 'RSPO4': 4370, 'C20orf202': 4371, 'SNPH': 4372, 'SIRPB2': 4373, 'SIRPD': 4374, 'SIRPB1': 4375, 'EBF4': 4376, 'CPXM1': 4377, 'C20orf141': 4378, 'GNRH2': 4379, 'AVP': 4380, 'RP4-794I6.4': 4381, 'C20orf194': 4382, 'RP11-352D3.2': 4383, 'SMOX': 4384, 'LINC01433': 4385, 'RP5-1164C1.2': 4386, 'RP5-1068H6.6': 4387, 'RASSF2': 4388, 'PCNA': 4389, 'RP5-1022P6.7': 4390, 'RP5-1022P6.5': 4391, 'CHGB': 4392, 'RP5-1069C8.2': 4393, 'SPTLC3': 4394, 'RP4-777L9.3': 4395, 'SLC24A3': 4396, 'RP1-122P22.4': 4397, 'KIZ-AS1': 4398, 'NKX2-4': 4399, 'CD93': 4400, 'LINC00656': 4401, 'CST9L': 4402, 'CST3': 4403, 'CST1': 4404, 'CST7': 4405, 'DEFB123': 4406, 'LINC00028': 4407, 'RP3-324O17.8': 4408, 'ID1': 4409, 'COX4I2': 4410, 'TPX2': 4411, 'DUSP15': 4412, 'CCM2L': 4413, 'RP1-310O13.7': 4414, 'HCK': 4415, 'RP11-410N8.3': 4416, 'RP11-410N8.4': 4417, 'BPIFB1': 4418, 'ACTL10': 4419, 'ASIP': 4420, 'TP53INP2': 4421, 'MYH7B': 4422, 'PROCR': 4423, 'MMP24-AS1': 4424, 'RP3-477O4.14': 4425, 'RP4-550H1.4': 4426, 'RP11-234K24.3': 4427, 'MYL9': 4428, 'SLA2': 4429, 'MROH8': 4430, 'RP4-640H8.2': 4431, 'VSTM2L': 4432, 'KIAA1755': 4433, 'BPI': 4434, 'SLC32A1': 4435, 'RP5-1031J8.1': 4436, 'MAFB': 4437, 'RP4-644L1.2': 4438, 'PLCG1-AS1': 4439, 'RP1-138B7.6': 4440, 'SGK2': 4441, 'GTSF1L': 4442, 'RP5-1030M6.3': 4443, 'R3HDML': 4444, 'HNF4A': 4445, 'PKIG': 4446, 'STK4': 4447, 'WFDC12': 4448, 'SLPI': 4449, 'SDC4': 4450, 'RP3-453C12.15': 4451, 'WFDC2': 4452, 'ZSWIM1': 4453, 'CTSA': 4454, 'MMP9': 4455, 'RP11-394O2.3': 4456, 'SLC2A10': 4457, 'RP4-569M23.5': 4458, 'SULF2': 4459, 'PTGIS': 4460, 'SNAI1': 4461, 'RP11-112L6.2': 4462, 'CEBPB': 4463, 'LINC01272': 4464, 'PTPN1': 4465, 'RP4-530I15.6': 4466, 'ATP9A': 4467, 'LINC01429': 4468, 'RP4-669H2.1': 4469, 'AC005808.3': 4470, 'LINC01441': 4471, 'FAM210B': 4472, 'AURKA': 4473, 'FAM209A': 4474, 'TFAP2C': 4475, 'BMP7': 4476, 'SPO11': 4477, 'PCK1': 4478, 'PMEPA1': 4479, 'NKILA': 4480, 'STX16-NPEPL1': 4481, 'CTSZ': 4482, 'TUBB1': 4483, 'C20orf197': 4484, 'MIR646HG': 4485, 'RP11-429E11.2': 4486, 'RP11-93B14.9': 4487, 'RP11-93B14.10': 4488, 'LINC00659': 4489, 'OGFR-AS1': 4490, 'COL9A3': 4491, 'BIRC7': 4492, 'EEF1A2': 4493, 'HELZ2': 4494, 'RP4-583P15.15': 4495, 'UCKL1-AS1': 4496, 'OPRL1': 4497, 'LINC00266-1': 4498, 'THEG': 4499, 'SHC2': 4500, 'ODF3L2': 4501, 'BSG': 4502, 'AC004156.3': 4503, 'PRSS57': 4504, 'AC006273.5': 4505, 'AZU1': 4506, 'PRTN3': 4507, 'ELANE': 4508, 'CFD': 4509, 'CNN2': 4510, 'POLR2E': 4511, 'C19orf26': 4512, 'AC004221.2': 4513, 'MIDN': 4514, 'AC005330.2': 4515, 'LLNLR-307A6.1': 4516, 'REEP6': 4517, 'CSNK1G2-AS1': 4518, 'MKNK2': 4519, 'IZUMO4': 4520, 'AC004490.1': 4521, 'C19orf35': 4522, 'GADD45B': 4523, 'ZNF556': 4524, 'TLE6': 4525, 'TLE2': 4526, 'AC005264.2': 4527, 'AC010649.1': 4528, 'SMIM24': 4529, 'AC005954.4': 4530, 'ATCAY': 4531, 'CREB3L3': 4532, 'EBI3': 4533, 'CTB-50L17.16': 4534, 'SEMA6B': 4535, 'MIR7-3HG': 4536, 'PTPRS': 4537, 'CATSPERD': 4538, 'AC024592.9': 4539, 'AC104532.2': 4540, 'DENND1C': 4541, 'TNFSF9': 4542, 'CD70': 4543, 'TNFSF14': 4544, 'C3': 4545, 'ADGRE1': 4546, 'INSR': 4547, 'CTB-133G6.1': 4548, 'CTB-133G6.2': 4549, 'PCP2': 4550, 'RETN': 4551, 'MCEMP1': 4552, 'FCER2': 4553, 'CLEC4G': 4554, 'CD209': 4555, 'CLEC4M': 4556, 'CTD-3193O13.11': 4557, 'CTD-3193O13.13': 4558, 'CTD-3193O13.1': 4559, 'FBN3': 4560, 'ANGPTL4': 4561, 'MARCH2': 4562, 'RP11-886P16.6': 4563, 'PRAM1': 4564, 'MYO1F': 4565, 'MUC16': 4566, 'CTD-2623N2.5': 4567, 'OLFM2': 4568, 'S1PR2': 4569, 'ICAM1': 4570, 'ICAM4': 4571, 'C19orf38': 4572, 'SPC24': 4573, 'CTC-510F12.2': 4574, 'ANGPTL8': 4575, 'TSPAN16': 4576, 'RAB3D': 4577, 'CCDC159': 4578, 'CNN1': 4579, 'ACP5': 4580, 'ZNF763': 4581, 'ZNF844': 4582, 'ZNF625': 4583, 'CTD-2666L21.1': 4584, 'JUNB': 4585, 'PRDX2': 4586, 'RTBDN': 4587, 'KLF1': 4588, 'CALR': 4589, 'CTC-425F1.4': 4590, 'AC007787.2': 4591, 'LYL1': 4592, 'IER2': 4593, 'CACNA1A': 4594, 'ZSWIM4': 4595, 'CTD-3252C9.4': 4596, 'PODNL1': 4597, 'RLN3': 4598, 'SAMD1': 4599, 'CTB-55O6.12': 4600, 'CTD-2189E23.1': 4601, 'CTC-548K16.1': 4602, 'ADGRE5': 4603, 'DNAJB1': 4604, 'ADGRE3': 4605, 'ADGRE2': 4606, 'LLNLR-246C6.1': 4607, 'PGLYRP2': 4608, 'CYP4F3': 4609, 'CYP4F12': 4610, 'AC004791.2': 4611, 'TPM4': 4612, 'CTD-2231E14.8': 4613, 'HSH2D': 4614, 'CIB3': 4615, 'CTD-2562J15.4': 4616, 'CTD-2562J15.6': 4617, 'KLF2': 4618, 'CTD-2013N17.4': 4619, 'CTD-3222D19.8': 4620, 'NWD1': 4621, 'CTD-2528A14.3': 4622, 'CTD-3032J10.3': 4623, 'BST2': 4624, 'BISPR': 4625, 'CTD-2521M24.8': 4626, 'CTD-3131K8.3': 4627, 'CTD-3149D2.4': 4628, 'INSL3': 4629, 'AC007192.6': 4630, 'IFI30': 4631, 'KIAA1683': 4632, 'JUND': 4633, 'GDF15': 4634, 'LRRC25': 4635, 'AC005197.2': 4636, 'AC005932.1': 4637, 'TM6SF2': 4638, 'LPAR2': 4639, 'GMIP': 4640, 'ZNF85': 4641, 'ZNF431': 4642, 'ZNF738': 4643, 'LINC00664': 4644, 'ZNF492': 4645, 'RP11-15H20.7': 4646, 'CTB-92J24.3': 4647, 'AC093074.1': 4648, 'AC005616.2': 4649, 'AC079466.1': 4650, 'ZNF536': 4651, 'TDRD12': 4652, 'WDR88': 4653, 'CEBPA': 4654, 'CTD-2540B15.11': 4655, 'CTD-2329C7.2': 4656, 'CHST8': 4657, 'ZNF30-AS1': 4658, 'CTD-2527I21.7': 4659, 'CTD-2527I21.14': 4660, 'HPN': 4661, 'LGI4': 4662, 'HAMP': 4663, 'AC002511.2': 4664, 'FFAR2': 4665, 'SBSN': 4666, 'UPK1A-AS1': 4667, 'AD000671.6': 4668, 'HCST': 4669, 'TYROBP': 4670, 'LINC00665': 4671, 'ZFP82': 4672, 'ZNF570': 4673, 'CTD-3064H18.4': 4674, 'PPP1R14A': 4675, 'C19orf33': 4676, 'KCNK6': 4677, 'CATSPERG': 4678, 'GGN': 4679, 'SPRED3': 4680, 'RASGRP4': 4681, 'CTB-186G2.1': 4682, 'AC104534.2': 4683, 'CTC-218B8.3': 4684, 'SYCN': 4685, 'IFNL1': 4686, 'GMFG': 4687, 'ZFP36': 4688, 'CTB-60E11.9': 4689, 'CLC': 4690, 'FCGBP': 4691, 'ZNF780B': 4692, 'TTC9B': 4693, 'CNTD2': 4694, 'PLD3': 4695, 'HIPK4': 4696, 'PRX': 4697, 'SERTAD1': 4698, 'CTC-492K19.4': 4699, 'BLVRB': 4700, 'MIA': 4701, 'RAB4B': 4702, 'CTC-490E21.14': 4703, 'CTC-490E21.12': 4704, 'CTC-490E21.10': 4705, 'AXL': 4706, 'TGFB1': 4707, 'B3GNT8': 4708, 'PCAT19': 4709, 'LINC01480': 4710, 'AC006129.2': 4711, 'RABAC1': 4712, 'ATP1A3': 4713, 'GRIK5': 4714, 'CEACAM1': 4715, 'PSG1': 4716, 'PSG11': 4717, 'PSG9': 4718, 'LYPD3': 4719, 'SRRM5': 4720, 'PLAUR': 4721, 'IRGC': 4722, 'CEACAM20': 4723, 'IGSF23': 4724, 'BCL3': 4725, 'APOE': 4726, 'APOC1': 4727, 'APOC4-APOC2': 4728, 'APOC4': 4729, 'RELB': 4730, 'CTB-179K24.3': 4731, 'TRAPPC6A': 4732, 'AC006126.3': 4733, 'CKM': 4734, 'FOSB': 4735, 'RTN2': 4736, 'GIPR': 4737, 'FOXA3': 4738, 'IGFL4': 4739, 'AC007193.6': 4740, 'IGFL2': 4741, 'AC006262.4': 4742, 'AC006262.5': 4743, 'HIF3A': 4744, 'AC007193.9': 4745, 'AC007193.8': 4746, 'PNMAL2': 4747, 'PTGIR': 4748, 'GNG8': 4749, 'DACT3': 4750, 'MEIS3': 4751, 'SLC8A2': 4752, 'ZNF541': 4753, 'SULT2A1': 4754, 'CARD8-AS1': 4755, 'EMP3': 4756, 'FAM83E': 4757, 'CA11': 4758, 'NTN5': 4759, 'FUT2': 4760, 'FUT1': 4761, 'HSD17B14': 4762, 'PLEKHA4': 4763, 'PPP1R15A': 4764, 'CTD-2639E6.9': 4765, 'FTL': 4766, 'HRC': 4767, 'TRPM4': 4768, 'SLC6A16': 4769, 'CD37': 4770, 'PTH2': 4771, 'FLT3LG': 4772, 'FCGRT': 4773, 'FUZ': 4774, 'AC006942.4': 4775, 'ATF5': 4776, 'MYH14': 4777, 'KCNC3': 4778, 'NAPSA': 4779, 'MYBPC2': 4780, 'CTD-2545M3.8': 4781, 'CTD-2568A17.8': 4782, 'KLK4': 4783, 'KLK11': 4784, 'SIGLEC7': 4785, 'IGLON5': 4786, 'CTD-2616J11.16': 4787, 'CTD-2616J11.9': 4788, 'NKG7': 4789, 'SIGLEC10': 4790, 'CTD-2616J11.3': 4791, 'CEACAM18': 4792, 'SIGLEC6': 4793, 'SIGLEC5': 4794, 'SIGLEC14': 4795, 'HAS1': 4796, 'FPR1': 4797, 'CTD-2525I3.3': 4798, 'CTD-2525I3.6': 4799, 'ZNF610': 4800, 'ZNF578': 4801, 'ZNF83': 4802, 'ZNF677': 4803, 'BIRC8': 4804, 'NLRP12': 4805, 'MYADM': 4806, 'PRKCG': 4807, 'CACNG8': 4808, 'TARM1': 4809, 'TMC4': 4810, 'MBOAT7': 4811, 'AC012314.20': 4812, 'LILRB2': 4813, 'CDC42EP5': 4814, 'LILRA2': 4815, 'LILRA1': 4816, 'LILRB1': 4817, 'CTB-61M7.2': 4818, 'GP6': 4819, 'TNNT1': 4820, 'TNNI3': 4821, 'PTPRH': 4822, 'TMEM150B': 4823, 'IL11': 4824, 'UBE2S': 4825, 'AC010525.4': 4826, 'CTD-2619J13.13': 4827, 'AC016629.3': 4828, 'PCDH11Y': 4829, 'RP11-65G9.1': 4830, 'LINC01297': 4831, 'AC007064.24': 4832, 'IL17RA': 4833, 'CECR5-AS1': 4834, 'CECR1': 4835, 'UFD1L': 4836, 'CDC45': 4837, 'LINC00895': 4838, 'COMT': 4839, 'TANGO2': 4840, 'AC006547.15': 4841, 'RANBP1': 4842, 'XXbac-B33L19.4': 4843, 'SERPIND1': 4844, 'P2RX6': 4845, 'LRRC74B': 4846, 'TMEM191C': 4847, 'RIMBP3C': 4848, 'SDF2L1': 4849, 'YPEL1': 4850, 'MAPK1': 4851, 'IGLC6': 4852, 'PCAT14': 4853, 'RGL4': 4854, 'C22orf15': 4855, 'KB-1125A3.12': 4856, 'GSTT2B': 4857, 'KB-226F1.2': 4858, 'GGT5': 4859, 'ADORA2A-AS1': 4860, 'UPB1': 4861, 'PIWIL3': 4862, 'SGSM1': 4863, 'CTA-243E7.4': 4864, 'CTA-221G9.12': 4865, 'CTA-390C10.9': 4866, 'ADRBK2': 4867, 'CTA-407F11.7': 4868, 'CTA-373H7.7': 4869, 'LINC01422': 4870, 'CTA-992D9.11': 4871, 'RP1-76B20.11': 4872, 'RP1-102K2.6': 4873, 'RP1-102K2.8': 4874, 'OSM': 4875, 'GATSL3': 4876, 'CCDC157': 4877, 'TCN2': 4878, 'DUSP18': 4879, 'SELM': 4880, 'PIK3IP1': 4881, 'PIK3IP1-AS1': 4882, 'RP11-247I13.11': 4883, 'RFPL3S': 4884, 'BPIFC': 4885, 'SYN3': 4886, 'LL22NC03-104C7.1': 4887, 'ISX': 4888, 'RP3-510H16.3': 4889, 'HMOX1': 4890, 'RASD2': 4891, 'MB': 4892, 'APOL6': 4893, 'CTA-212A2.4': 4894, 'APOL3': 4895, 'APOL4': 4896, 'APOL1': 4897, 'MYH9': 4898, 'RP4-633O19__A.1': 4899, 'PVALB': 4900, 'NCF4': 4901, 'TMPRSS6': 4902, 'SSTR3': 4903, 'RAC2': 4904, 'CYTH4': 4905, 'LGALS2': 4906, 'LGALS1': 4907, 'H1F0': 4908, 'RP5-1039K5.18': 4909, 'CTA-228A9.3': 4910, 'CTA-228A9.4': 4911, 'RP3-508I15.14': 4912, 'APOBEC3A': 4913, 'APOBEC3C': 4914, 'APOBEC3D': 4915, 'APOBEC3H': 4916, 'RP4-742C19.13': 4917, 'RP3-333H23.8': 4918, 'RPL3': 4919, 'ATF4': 4920, 'GRAP2': 4921, 'FAM83F': 4922, 'TNRC6B': 4923, 'RP5-1042K10.13': 4924, 'MEI1': 4925, 'RP5-821D11.7': 4926, 'SHISA8': 4927, 'NFAM1': 4928, 'PARVG': 4929, 'RP4-671O14.7': 4930, 'PHF21B': 4931, 'KIAA0930': 4932, 'CTA-268H5.14': 4933, 'UPK3A': 4934, 'FAM118A': 4935, 'FBLN1': 4936, 'WNT7B': 4937, 'PPARA': 4938, 'GTSE1': 4939, 'RP3-439F8.1': 4940, 'LINC00898': 4941, 'RP3-522J7.6': 4942, 'RP11-494O16.4': 4943, 'CITF22-49E9.3': 4944, 'MLC1': 4945, 'RP3-402G11.25': 4946, 'ODF3B': 4947, 'CTA-384D8.35': 4948, 'CTA-384D8.34': 4949, 'KLHDC7B': 4950, 'SYCE3': 4951, 'ARSA': 4952, 'RP11-717F1.1': 4953, 'CH507-42P11.5': 4954, 'CH507-513H4.1': 4955, 'CH507-528H12.1': 4956, 'CH507-216K13.2': 4957, 'SAMSN1': 4958, 'AF127936.3': 4959, 'AF127936.5': 4960, 'AF127936.7': 4961, 'AF127577.8': 4962, 'MIR99AHG': 4963, 'AF240627.2': 4964, 'AP001171.1': 4965, 'APP': 4966, 'AL035610.2': 4967, 'MAP3K7CL': 4968, 'AF124730.4': 4969, 'GRIK1': 4970, 'GRIK1-AS1': 4971, 'TIAM1': 4972, 'MRAP': 4973, 'PAXBP1-AS1': 4974, 'C21orf62-AS1': 4975, 'IL10RB-AS1': 4976, 'IL10RB': 4977, 'AP000295.10': 4978, 'AP000302.58': 4979, 'DNAJC28': 4980, 'SON': 4981, 'LINC00649': 4982, 'RUNX1': 4983, 'LINC01436': 4984, 'AP000688.29': 4985, 'CBR3': 4986, 'DOPEY2': 4987, 'AP000695.6': 4988, 'AP000695.4': 4989, 'CLDN14': 4990, 'KCNJ6': 4991, 'DSCR8': 4992, 'KCNJ15': 4993, 'ETS2': 4994, 'AF064858.6': 4995, 'DSCAM': 4996, 'TMPRSS2': 4997, 'LINC00479': 4998, 'ABCG1': 4999, 'TFF3': 5000, 'TFF1': 5001, 'UBASH3A': 5002, 'AP001626.1': 5003, 'AP001626.2': 5004, 'KB-51A8.1': 5005, 'AP001046.5': 5006, 'AP001046.6': 5007, 'LINC00319': 5008, 'CSTB': 5009, 'AATBC': 5010, 'AP001055.6': 5011, 'ICOSLG': 5012, 'AP001059.7': 5013, 'DNMT3L': 5014, 'AP001059.5': 5015, 'TRPM2': 5016, 'KRTAP10-2': 5017, 'ITGB2': 5018, 'ITGB2-AS1': 5019, 'LINC00334': 5020, 'LINC00315': 5021, 'COL18A1': 5022, 'COL18A1-AS2': 5023, 'COL18A1-AS1': 5024, 'PCBP3': 5025, 'AJ011932.1': 5026, 'COL6A1': 5027, 'FTCD-AS1': 5028, 'C21orf58': 5029, 'S100B': 5030, 'MT-ND1': 5031, 'MT-ND2': 5032, 'MT-CO1': 5033, 'MT-CO2': 5034, 'MT-ATP6': 5035, 'MT-CO3': 5036, 'MT-ND3': 5037, 'MT-ND4L': 5038, 'MT-ND4': 5039, 'MT-ND5': 5040, 'MT-ND6': 5041, 'MT-CYB': 5042, 'AC136616.1': 5043, 'AC023491.2': 5044}\n",
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'ENSG00000160298': 5029, 'ENSG00000160307': 5030, 'ENSG00000198888': 5031, 'ENSG00000198763': 5032, 'ENSG00000198804': 5033, 'ENSG00000198712': 5034, 'ENSG00000198899': 5035, 'ENSG00000198938': 5036, 'ENSG00000198840': 5037, 'ENSG00000212907': 5038, 'ENSG00000198886': 5039, 'ENSG00000198786': 5040, 'ENSG00000198695': 5041, 'ENSG00000198727': 5042, 'ENSG00000273554': 5043, 'ENSG00000278633': 5044}\n"
     ]
    }
   ],
   "source": [
    "#dict of graph indices for the genes {key(gene name):value(idx in node list)} to guide the graph\n",
    "import pickle\n",
    "import os\n",
    "import sys\n",
    "\n",
    "#open the pickle file\n",
    "with open('norman_node_map.pkl', 'rb') as handle:\n",
    "    indices = pickle.load(handle)\n",
    "#load the gene_name and gene_id mapping norman_gene_names.csv \n",
    "map_g2e = pd.read_csv('norman_gene_names.csv')\n",
    "#replace the keys in indices dict from gene_name to gene_id using map_g2e\n",
    "indices = {map_g2e[map_g2e['gene_name']==k]['gene_id'].iloc[0]:v for k,v in indices.items()}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "377.5833126674181\n"
     ]
    }
   ],
   "source": [
    "#create an adjacency matrix numpy array with nodes as indices keys and edges coming from the new_edges_df\n",
    "# wherever there is no edges, keep weight as 0 between the nodes\n",
    "#initialize the adj matrix with zeros\n",
    "adj = np.zeros((len(indices), len(indices)))\n",
    "#iterate through the new_edges_df and add the weights to the adj matrix\n",
    "for _, edge in new_edges_df.iterrows():\n",
    "    #get the idx of the genes from the indices dict\n",
    "    idx1 = indices[edge['gene1']]\n",
    "    idx2 = indices[edge['gene2']]\n",
    "    #add the weight to the adj matrix\n",
    "    adj[idx1][idx2] = edge['weight']\n",
    "    adj[idx2][idx1] = edge['weight']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "377.5833126674181\n"
     ]
    }
   ],
   "source": [
    "#save the adj matrix as a npy file\n",
    "print(adj.sum().sum())\n",
    "np.save('adj_matrix_norman_20kb.npy', adj)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#load the adj matrix\n",
    "adj = np.load('adj_matrix_norman_25kb.npy')\n",
    "#plot the adj matrix as a graph\n",
    "G = nx.from_numpy_array(adj)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Akanksha/anaconda3/envs/hubs1/lib/python3.9/site-packages/networkx/drawing/nx_pylab.py:437: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  node_collection = ax.scatter(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pos = nx.spring_layout(G)\n",
    "nx.draw(G, pos, node_size=10, cmap=plt.cm.RdYlBu, with_labels=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#load the adj matrix\n",
    "adj = np.load('adj_matrix_norman_10Mb.npy')\n",
    "#plot the adj matrix as a graph\n",
    "G = nx.from_numpy_array(adj)\n",
    "pos = nx.spring_layout(G)\n",
    "nx.draw(G, pos, node_size=10, cmap=plt.cm.RdYlBu, with_labels=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/647318756.py:21: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(x='Model', y='Test MSE', data=df, palette=colors)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/647318756.py:28: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(x='Model', y='Train MSE', data=df, palette=colors)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/tb/s68l7gcj6rg4952d2x7x3jd80000gn/T/ipykernel_86094/647318756.py:35: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(x='Model', y='Validation', data=df, palette=colors)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Step 1: Prepare the Data\n",
    "data = {\n",
    "    'Model': ['10kb Ising model', '25kb Ising model', 'Scale Free Ising model', 'Random Ising model', 'GNN (1 epoch)', 'pre-trained GNN (20 epochs)'],\n",
    "    'Test MSE': [0.225, 0.701, 0.197, 0.295, 0.413, 0.224],\n",
    "    'Train MSE': [0.155, 0.509, 0.116, 0.212, 0.436, 0.0878],\n",
    "    'Validation': [0.207, 1.023, 0.215, 0.393, 0.465, 0.273]\n",
    "}\n",
    "\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# Define a color palette\n",
    "colors = sns.color_palette('hsv', len(df['Model']))\n",
    "\n",
    "# Step 2: Plotting with Seaborn\n",
    "# Test MSE Plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x='Model', y='Test MSE', data=df, palette=colors)\n",
    "plt.title('Test MSE for Different Models')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()\n",
    "\n",
    "# Train MSE Plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x='Model', y='Train MSE', data=df, palette=colors)\n",
    "plt.title('Train MSE for Different Models')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()\n",
    "\n",
    "# Validation MSE Plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x='Model', y='Validation', data=df, palette=colors)\n",
    "plt.title('Validation MSE for Different Models')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "hubs1",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}