07b_plot_pagerank.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\tqdm\\auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import mygene\n",
    "import omnipath as op\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FYN\n",
      "CXCR4\n",
      "STAT3\n",
      "TNFRSF1A\n",
      "BMPR1B\n",
      "LRP1\n",
      "ITGB5\n",
      "NGF\n",
      "RELN\n",
      "DPP4\n",
      "SNCA\n",
      "NRP1\n",
      "ITGA9\n",
      "ACVR1B\n",
      "IL6R\n",
      "TLR4\n",
      "IFNGR2\n",
      "EFNA5\n",
      "CRH\n",
      "ITGA8\n",
      "LEPR\n",
      "APOB\n",
      "WNT4\n",
      "IL7R\n",
      "IL12A\n",
      "TNF\n",
      "Not disease linked\n",
      "ERBB4\n",
      "GAL\n",
      "PTN\n",
      "PTK2B\n",
      "CALCB\n",
      "NECTIN2\n",
      "ESR1\n",
      "NRXN1\n",
      "APOE\n",
      "PTPN6\n",
      "Not disease linked\n",
      "NOTCH3\n",
      "FGF20\n",
      "STAT6\n",
      "CNTN1\n",
      "FGF6\n",
      "APP\n",
      "PILRA\n",
      "WNT7B\n",
      "WNT3\n",
      "IFNG\n",
      "Not disease linked\n",
      "TGFB1\n",
      "PRKD1\n",
      "DCC\n",
      "FSTL5\n",
      "TP53\n",
      "Not disease linked\n",
      "EGF\n",
      "Not disease linked\n",
      "CSF2RB\n",
      "MAP3K14\n",
      "TGFBR2\n",
      "PDCD1\n",
      "ADCY1\n",
      "IL2RA\n",
      "TNFSF14\n",
      "GFRA2\n",
      "FGFR3\n",
      "PTPRD\n",
      "SEMA3A\n",
      "IL6\n",
      "Not disease linked\n",
      "GRIA1\n",
      "KDR\n",
      "Not disease linked\n",
      "CD40\n",
      "TGFBR3\n",
      "CD47\n",
      "SLURP1\n",
      "Not disease linked\n",
      "KIT\n",
      "Not disease linked\n",
      "DSCAM\n",
      "NOS1\n",
      "NMB\n",
      "GRN\n",
      "AGT\n",
      "Not disease linked\n",
      "SOCS2\n",
      "Not disease linked\n",
      "EPHA1\n",
      "S1PR1\n",
      "NLGN1\n",
      "PTCH1\n",
      "CSF2\n",
      "Not disease linked\n",
      "ROBO2\n",
      "MAPK1\n",
      "EDNRA\n",
      "CRHR1\n",
      "MAPK3\n",
      "SLURP2\n",
      "Not disease linked\n",
      "EDN1\n",
      "Not disease linked\n",
      "MAP4K4\n",
      "LRIG1\n",
      "EGFR\n",
      "Not disease linked\n",
      "VEGFA\n",
      "Not disease linked\n",
      "MPO\n",
      "TYK2\n",
      "EPHA5\n",
      "ADGRV1\n",
      "SEMA6D\n",
      "SLIT3\n",
      "CXCL12\n",
      "Not disease linked\n",
      "PLCB1\n",
      "NR0B2\n",
      "Not disease linked\n",
      "NID1\n",
      "LGI1\n",
      "SHANK2\n",
      "NMUR2\n",
      "NEGR1\n",
      "VTN\n",
      "Not disease linked\n",
      "MERTK\n",
      "PDGFB\n",
      "Not disease linked\n",
      "PTPRG\n",
      "NTN1\n",
      "Not disease linked\n",
      "NRG1\n",
      "Not disease linked\n",
      "THBS1\n",
      "Not disease linked\n",
      "IL4\n",
      "Not disease linked\n",
      "JAK2\n",
      "Not disease linked\n",
      "IL2\n",
      "PLCG1\n",
      "Not disease linked\n",
      "PLXNA4\n",
      "PIK3CA\n",
      "Not disease linked\n",
      "PIK3R1\n",
      "Not disease linked\n",
      "SYNJ1\n",
      "IGF1\n",
      "Not disease linked\n",
      "ATM\n",
      "CSF1R\n",
      "GRIN2A\n",
      "SCN9A\n",
      "ERBB2\n",
      "INS\n",
      "Not disease linked\n",
      "IL1B\n",
      "Not disease linked\n",
      "CLEC2D\n",
      "DCLK3\n",
      "SHH\n",
      "Not disease linked\n",
      "FES\n",
      "PTPRZ1\n",
      "Not disease linked\n",
      "CNTN4\n",
      "CSF3\n",
      "THBS2\n",
      "Not disease linked\n",
      "TREM2\n",
      "CHRNA7\n",
      "TNC\n",
      "Not disease linked\n",
      "TNFRSF1B\n",
      "Not disease linked\n",
      "MMP3\n",
      "LILRB1\n",
      "Not disease linked\n",
      "ABCB1\n",
      "INPP5D\n",
      "SRC\n",
      "Not disease linked\n",
      "CD33\n",
      "GP6\n",
      "Not disease linked\n",
      "CCN2\n",
      "Not disease linked\n",
      "IL1A\n",
      "Not disease linked\n",
      "PLXNA1\n",
      "Not disease linked\n",
      "VWF\n",
      "Not disease linked\n",
      "SPP1\n",
      "Not disease linked\n",
      "CD86\n",
      "PLA2G6\n",
      "BDNF\n",
      "Not disease linked\n",
      "FGF2\n",
      "Not disease linked\n",
      "PLCG2\n",
      "FCGR2A\n",
      "NOTCH1\n",
      "Not disease linked\n",
      "CD40LG\n",
      "Not disease linked\n",
      "CALCA\n",
      "PDGFRB\n",
      "FGFR4\n",
      "Not disease linked\n",
      "SLIT2\n",
      "Not disease linked\n",
      "PTPN11\n",
      "Not disease linked\n",
      "CNTN2\n",
      "Not disease linked\n",
      "CXCL9\n",
      "Not disease linked\n",
      "EFNB1\n",
      "Not disease linked\n",
      "CD226\n",
      "EFNB2\n",
      "Not disease linked\n",
      "LRP6\n",
      "Not disease linked\n",
      "FGF14\n",
      "Not disease linked\n",
      "FGF11\n",
      "Not disease linked\n",
      "FGF12\n",
      "Not disease linked\n",
      "FGF13\n",
      "Not disease linked\n",
      "SCN1A\n",
      "SCN3A\n",
      "SCN2A\n",
      "FGF7\n",
      "Not disease linked\n",
      "EFEMP2\n",
      "Not disease linked\n",
      "HSPA8\n",
      "Not disease linked\n",
      "SORL1\n",
      "MAPT\n",
      "WNT5A\n",
      "Not disease linked\n",
      "SLC6A4\n",
      "LINGO1\n",
      "TUBB3\n",
      "Not disease linked\n",
      "CNTFR\n",
      "Not disease linked\n",
      "VANGL2\n",
      "CD58\n",
      "LGALS9\n",
      "Not disease linked\n",
      "CXCL10\n",
      "Not disease linked\n",
      "EDAR\n",
      "SLITRK1\n",
      "CD6\n",
      "PTPRS\n",
      "Not disease linked\n",
      "LRFN5\n",
      "DCN\n",
      "Not disease linked\n",
      "VIP\n",
      "Not disease linked\n",
      "PLG\n",
      "Not disease linked\n",
      "FASLG\n",
      "Not disease linked\n",
      "CDK5\n",
      "Not disease linked\n",
      "PTPRF\n",
      "GNAS\n",
      "Not disease linked\n",
      "ADRB2\n",
      "Not disease linked\n",
      "THBS4\n",
      "Not disease linked\n",
      "COMP\n",
      "Not disease linked\n",
      "ANXA1\n",
      "Not disease linked\n",
      "ITGB1\n",
      "Not disease linked\n",
      "ITGB3\n",
      "Not disease linked\n",
      "LCK\n",
      "LTA\n",
      "Not disease linked\n",
      "SOS1\n",
      "Not disease linked\n",
      "SDC2\n",
      "Not disease linked\n",
      "EPHA3\n",
      "Not disease linked\n",
      "BCL6\n",
      "LEP\n",
      "Not disease linked\n",
      "SLC2A1\n",
      "TNFSF12\n",
      "Not disease linked\n",
      "FGF1\n",
      "Not disease linked\n",
      "LRP8\n",
      "Not disease linked\n",
      "VLDLR\n",
      "Not disease linked\n",
      "FAM3C\n",
      "Not disease linked\n",
      "IL22RA2\n",
      "LPP\n",
      "CHRNA4\n",
      "TGFB3\n",
      "Not disease linked\n",
      "CR1\n",
      "JAK3\n",
      "Not disease linked\n",
      "JAK1\n",
      "EPO\n",
      "Not disease linked\n",
      "IL3\n",
      "Not disease linked\n",
      "APOA2\n",
      "Not disease linked\n",
      "EP300\n",
      "HGF\n",
      "ACE\n",
      "CTSB\n",
      "PLXNC1\n",
      "IGF1R\n",
      "Not disease linked\n",
      "SCARB1\n",
      "OSM\n",
      "Not disease linked\n",
      "RAF1\n",
      "Not disease linked\n",
      "IL12B\n",
      "ZP3\n",
      "Not disease linked\n",
      "IFNA1\n",
      "Not disease linked\n",
      "PDGFRA\n",
      "Not disease linked\n",
      "BMP4\n",
      "Not disease linked\n",
      "MET\n",
      "Not disease linked\n",
      "ALCAM\n",
      "Not disease linked\n",
      "STK39\n",
      "GPR151\n",
      "CCL4L1\n",
      "Not disease linked\n",
      "PSG7\n",
      "Not disease linked\n",
      "PSG9\n",
      "Not disease linked\n",
      "XCL1\n",
      "Not disease linked\n",
      "GRIN1\n",
      "LIFR\n",
      "Not disease linked\n",
      "BTN1A1\n",
      "NMU\n",
      "Not disease linked\n",
      "NMS\n",
      "Not disease linked\n",
      "ADGRL2\n",
      "ADGRL1\n",
      "LRP5\n",
      "Not disease linked\n",
      "TH\n",
      "Not disease linked\n",
      "GDF9\n",
      "Not disease linked\n",
      "GDF11\n",
      "Not disease linked\n",
      "GDF7\n",
      "Not disease linked\n",
      "GDF3\n",
      "Not disease linked\n",
      "GDF10\n",
      "Not disease linked\n",
      "BMP7\n",
      "Not disease linked\n",
      "BMP3\n",
      "GDF1\n",
      "Not disease linked\n",
      "CXCL1\n",
      "Not disease linked\n",
      "FZD4\n",
      "Not disease linked\n",
      "FZD5\n",
      "Not disease linked\n",
      "FZD1\n",
      "Not disease linked\n",
      "FZD10\n",
      "Not disease linked\n",
      "FZD2\n",
      "Not disease linked\n",
      "FZD3\n",
      "Not disease linked\n",
      "FZD6\n",
      "Not disease linked\n",
      "FZD7\n",
      "Not disease linked\n",
      "FZD8\n",
      "Not disease linked\n",
      "FZD9\n",
      "Not disease linked\n",
      "ADIPOQ\n",
      "Not disease linked\n",
      "BMP5\n",
      "Not disease linked\n",
      "BMP8A\n",
      "ESR2\n",
      "CCL22\n",
      "Not disease linked\n",
      "CXCL11\n",
      "Not disease linked\n",
      "CXCL2\n",
      "Not disease linked\n",
      "CCL5\n",
      "Not disease linked\n",
      "PF4\n",
      "Not disease linked\n",
      "LAMA2\n",
      "Not disease linked\n",
      "LAMB2\n",
      "Not disease linked\n",
      "COL6A6\n",
      "Not disease linked\n",
      "COL11A2\n",
      "Not disease linked\n",
      "LAMA1\n",
      "Not disease linked\n",
      "LAMA3\n",
      "Not disease linked\n",
      "LAMA4\n",
      "Not disease linked\n",
      "LAMA5\n",
      "Not disease linked\n",
      "LAMB1\n",
      "Not disease linked\n",
      "CHAD\n",
      "Not disease linked\n",
      "COL6A3\n",
      "Not disease linked\n",
      "LAMB3\n",
      "LAMC1\n",
      "Not disease linked\n",
      "LAMC2\n",
      "Not disease linked\n",
      "LAMC3\n",
      "Not disease linked\n",
      "PLD2\n",
      "Not disease linked\n",
      "PRKCA\n",
      "Not disease linked\n",
      "PRKCE\n",
      "Not disease linked\n",
      "PLXNB2\n",
      "Not disease linked\n",
      "PLCE1\n",
      "SIGLEC6\n",
      "Not disease linked\n",
      "LILRB2\n",
      "Not disease linked\n",
      "LILRA1\n",
      "Not disease linked\n",
      "CALML3\n",
      "Not disease linked\n",
      "BMP6\n",
      "Not disease linked\n",
      "NMBR\n",
      "Not disease linked\n",
      "GRPR\n",
      "Not disease linked\n",
      "BRS3\n",
      "Not disease linked\n",
      "CD2\n",
      "Not disease linked\n",
      "PTPRT\n",
      "Not disease linked\n",
      "INHBA\n",
      "Not disease linked\n",
      "INHA\n",
      "Not disease linked\n",
      "TGFA\n",
      "Not disease linked\n",
      "PPARG\n",
      "Not disease linked\n",
      "DLL1\n",
      "Not disease linked\n",
      "CD28\n",
      "IL34\n",
      "NTRK1\n",
      "Not disease linked\n",
      "ANG\n",
      "GCG\n",
      "Not disease linked\n",
      "SDC3\n",
      "Not disease linked\n",
      "PTK2\n",
      "Not disease linked\n",
      "PLXNA2\n",
      "Not disease linked\n",
      "CASP8\n",
      "Not disease linked\n",
      "CASP3\n",
      "Not disease linked\n",
      "KITLG\n",
      "Not disease linked\n",
      "PTH1R\n",
      "Not disease linked\n",
      "ADCYAP1R1\n",
      "Not disease linked\n",
      "ADRB3\n",
      "Not disease linked\n",
      "RAMP2\n",
      "Not disease linked\n",
      "VIPR1\n",
      "Not disease linked\n",
      "GPR84\n",
      "Not disease linked\n",
      "GPR20\n",
      "RAMP3\n",
      "Not disease linked\n",
      "TSHR\n",
      "Not disease linked\n",
      "SEMA3B\n",
      "PIK3CG\n",
      "Not disease linked\n",
      "CCL11\n",
      "Not disease linked\n",
      "CHUK\n",
      "Not disease linked\n",
      "IKBKB\n",
      "Not disease linked\n",
      "RETN\n",
      "Not disease linked\n",
      "TEK\n",
      "Not disease linked\n",
      "MAPK7\n",
      "Not disease linked\n",
      "NTRK2\n",
      "Not disease linked\n",
      "CAMK2D\n",
      "PIK3R2\n",
      "Not disease linked\n",
      "EPHA4\n",
      "Not disease linked\n",
      "EPHA2\n",
      "Not disease linked\n",
      "EPHB1\n",
      "Not disease linked\n",
      "EPHB2\n",
      "Not disease linked\n",
      "GPC5\n",
      "LILRA3\n",
      "Not disease linked\n",
      "CHL1\n",
      "Not disease linked\n",
      "SLAMF1\n",
      "EFNA1\n",
      "Not disease linked\n",
      "EFNA2\n",
      "Not disease linked\n",
      "EFNA3\n",
      "Not disease linked\n",
      "EFNA4\n",
      "Not disease linked\n",
      "LTB\n",
      "Not disease linked\n",
      "PRKAA2\n",
      "Not disease linked\n",
      "TGFB2\n",
      "Not disease linked\n",
      "PTH\n",
      "Not disease linked\n",
      "ITGB8\n",
      "Not disease linked\n",
      "ITGB6\n",
      "Not disease linked\n",
      "ITGB4\n",
      "Not disease linked\n",
      "ABL1\n",
      "Not disease linked\n",
      "ITGB7\n",
      "ITGA6\n",
      "Not disease linked\n",
      "ITGB2\n",
      "Not disease linked\n",
      "IHH\n",
      "Not disease linked\n",
      "DHH\n",
      "Not disease linked\n",
      "NRTN\n",
      "Not disease linked\n",
      "ARTN\n",
      "Not disease linked\n",
      "PSPN\n",
      "Not disease linked\n",
      "GDNF\n",
      "Not disease linked\n",
      "WNT3A\n",
      "Not disease linked\n",
      "CALCR\n",
      "Not disease linked\n",
      "AVP\n",
      "Not disease linked\n",
      "L1CAM\n",
      "Not disease linked\n",
      "NTS\n",
      "Not disease linked\n",
      "IL21\n",
      "TNFRSF11B\n",
      "Not disease linked\n",
      "SMPD3\n",
      "ERBB3\n",
      "Not disease linked\n",
      "ITGAV\n",
      "Not disease linked\n",
      "ITGA3\n",
      "Not disease linked\n",
      "ADM\n",
      "Not disease linked\n",
      "MAP2K6\n",
      "Not disease linked\n",
      "ITGAL\n",
      "Not disease linked\n",
      "PDGFD\n",
      "IL18\n",
      "Not disease linked\n",
      "TNFSF13B\n",
      "Not disease linked\n",
      "TBK1\n",
      "EPOR\n",
      "Not disease linked\n",
      "SI\n",
      "Not disease linked\n",
      "GH1\n",
      "Not disease linked\n",
      "CHRNB2\n",
      "CHRNA3\n",
      "CHRNB4\n",
      "CHRNA2\n",
      "CD8B\n",
      "CD8A\n",
      "Not disease linked\n",
      "IL10\n",
      "Not disease linked\n",
      "ICAM1\n",
      "Not disease linked\n",
      "IL22\n",
      "Not disease linked\n",
      "LSR\n",
      "Not disease linked\n",
      "LRP2\n",
      "Not disease linked\n",
      "LDLR\n",
      "Not disease linked\n",
      "CCN1\n",
      "Not disease linked\n",
      "SAA1\n",
      "Not disease linked\n",
      "IGF2\n",
      "Not disease linked\n",
      "IL6ST\n",
      "Not disease linked\n",
      "IL11\n",
      "Not disease linked\n",
      "YES1\n",
      "Not disease linked\n",
      "HDC\n",
      "IL15\n",
      "Not disease linked\n",
      "IL23A\n",
      "Not disease linked\n",
      "IL13\n",
      "Not disease linked\n",
      "GRM5\n",
      "ROBO4\n",
      "Not disease linked\n",
      "ROBO1\n",
      "FGFR1\n",
      "FGFR2\n",
      "Not disease linked\n",
      "ADAM23\n",
      "Not disease linked\n",
      "RTN4R\n",
      "EDA\n",
      "Not disease linked\n",
      "DAG1\n",
      "PMCH\n",
      "GAS6\n",
      "Not disease linked\n",
      "NXPH3\n",
      "Not disease linked\n",
      "NXPH1\n",
      "Not disease linked\n",
      "RPH3A\n",
      "Not disease linked\n",
      "NLGN4X\n",
      "Not disease linked\n",
      "NLGN3\n",
      "Not disease linked\n",
      "NLGN2\n",
      "Not disease linked\n",
      "NXPH2\n",
      "Not disease linked\n",
      "CNTN6\n",
      "Not disease linked\n",
      "CNTN3\n",
      "Not disease linked\n",
      "VCAM1\n",
      "Not disease linked\n",
      "NRXN2\n",
      "Not disease linked\n",
      "NRXN3\n",
      "Not disease linked\n",
      "SLIT1\n",
      "Not disease linked\n",
      "OLFM2\n",
      "Not disease linked\n",
      "EFNB3\n",
      "Not disease linked\n",
      "UCN\n",
      "Not disease linked\n",
      "UCN2\n",
      "Not disease linked\n",
      "UCN3\n",
      "Not disease linked\n",
      "C4B_2\n",
      "Not disease linked\n",
      "PON1\n",
      "KNG1\n",
      "Not disease linked\n",
      "KLRB1\n",
      "Not disease linked\n",
      "SEMA7A\n",
      "Not disease linked\n",
      "CD274\n",
      "Not disease linked\n",
      "CD48\n",
      "Not disease linked\n",
      "PDCD1LG2\n",
      "Not disease linked\n",
      "APLP1\n",
      "Not disease linked\n",
      "LILRA5\n",
      "CD80\n",
      "LGALS3BP\n",
      "Not disease linked\n",
      "SIGLEC9\n",
      "Not disease linked\n",
      "AFDN\n",
      "Not disease linked\n",
      "CD96\n",
      "Not disease linked\n",
      "NECTIN4\n",
      "Not disease linked\n",
      "TIGIT\n",
      "Not disease linked\n",
      "PVRIG\n",
      "Not disease linked\n",
      "PARD3\n",
      "Not disease linked\n",
      "NECTIN3\n",
      "Not disease linked\n",
      "PVR\n",
      "PSG6\n",
      "Not disease linked\n",
      "PSG4\n",
      "Not disease linked\n",
      "IFNE\n",
      "Not disease linked\n",
      "GPHA2\n",
      "Not disease linked\n",
      "NR1H3\n",
      "PPARA\n",
      "CHAT\n",
      "Not disease linked\n",
      "GRM7\n",
      "Not disease linked\n",
      "GALR2\n",
      "Not disease linked\n",
      "ADRA2A\n",
      "Not disease linked\n",
      "GALR1\n",
      "Not disease linked\n",
      "GALR3\n",
      "Not disease linked\n",
      "MTNR1A\n",
      "Not disease linked\n",
      "IFNA21\n",
      "Not disease linked\n",
      "IFNA2\n",
      "Not disease linked\n",
      "IFNA14\n",
      "Not disease linked\n",
      "IFNA16\n",
      "Not disease linked\n",
      "IFNA4\n",
      "Not disease linked\n",
      "IFNA10\n",
      "Not disease linked\n",
      "IFNA17\n",
      "Not disease linked\n",
      "IFNA5\n",
      "Not disease linked\n",
      "IFNA6\n",
      "Not disease linked\n",
      "IFNB1\n",
      "Not disease linked\n",
      "IFNA8\n",
      "Not disease linked\n",
      "IFNA7\n",
      "Not disease linked\n",
      "SEMA3G\n",
      "Not disease linked\n",
      "GDF2\n",
      "Not disease linked\n",
      "NOG\n",
      "Not disease linked\n",
      "AMH\n",
      "Not disease linked\n",
      "GDF5\n",
      "Not disease linked\n",
      "GDF6\n",
      "Not disease linked\n",
      "FST\n",
      "Not disease linked\n",
      "BMP10\n",
      "Not disease linked\n",
      "BMP8B\n",
      "Not disease linked\n",
      "BMP1\n",
      "Not disease linked\n",
      "RGMA\n",
      "Not disease linked\n",
      "BMP2\n",
      "BMP15\n",
      "Not disease linked\n",
      "LFNG\n",
      "Not disease linked\n",
      "SCGB3A1\n",
      "Not disease linked\n",
      "JAG2\n",
      "Not disease linked\n",
      "DLK1\n",
      "Not disease linked\n",
      "DLL3\n",
      "Not disease linked\n",
      "DLL4\n",
      "Not disease linked\n",
      "JAG1\n",
      "UNC5C\n",
      "IGSF1\n",
      "Not disease linked\n",
      "NODAL\n",
      "Not disease linked\n",
      "INHBC\n",
      "Not disease linked\n",
      "INHBE\n",
      "Not disease linked\n",
      "INHBB\n",
      "Not disease linked\n",
      "LEFTY2\n",
      "Not disease linked\n",
      "ACTR2\n",
      "Not disease linked\n",
      "LEFTY1\n",
      "Not disease linked\n",
      "DRAXIN\n",
      "Not disease linked\n",
      "IGFBPL1\n",
      "Not disease linked\n",
      "NTN4\n",
      "Not disease linked\n",
      "CCL2\n",
      "Not disease linked\n",
      "CCL14\n",
      "Not disease linked\n",
      "CX3CL1\n",
      "Not disease linked\n",
      "CCL13\n",
      "Not disease linked\n",
      "CCL7\n",
      "Not disease linked\n",
      "CCL8\n",
      "Not disease linked\n",
      "CXCL6\n",
      "Not disease linked\n",
      "PPBP\n",
      "Not disease linked\n",
      "CXCL5\n",
      "Not disease linked\n",
      "CCL21\n",
      "Not disease linked\n",
      "CXCL3\n",
      "Not disease linked\n",
      "CCL19\n",
      "Not disease linked\n",
      "CCL15\n",
      "Not disease linked\n",
      "CCL18\n",
      "Not disease linked\n",
      "CXCL14\n",
      "Not disease linked\n",
      "CCL17\n",
      "Not disease linked\n",
      "CCL20\n",
      "Not disease linked\n",
      "MIF\n",
      "Not disease linked\n",
      "CXCL13\n",
      "Not disease linked\n",
      "CXCL8\n",
      "Not disease linked\n",
      "XCL2\n",
      "Not disease linked\n",
      "CCL3L1\n",
      "Not disease linked\n",
      "CCL3\n",
      "Not disease linked\n",
      "PF4V1\n",
      "Not disease linked\n",
      "CCL28\n",
      "Not disease linked\n",
      "CCL27\n",
      "Not disease linked\n",
      "TFF2\n",
      "Not disease linked\n",
      "CCL16\n",
      "Not disease linked\n",
      "CCL26\n",
      "Not disease linked\n",
      "CCL25\n",
      "Not disease linked\n",
      "TFF3\n",
      "Not disease linked\n",
      "CCL1\n",
      "Not disease linked\n",
      "CCL24\n",
      "Not disease linked\n",
      "CCL23\n",
      "Not disease linked\n",
      "IDE\n",
      "SLC10A2\n",
      "PRKCZ\n",
      "Not disease linked\n",
      "PSMB1\n",
      "Not disease linked\n",
      "PSMB2\n",
      "Not disease linked\n",
      "PSMB5\n",
      "Not disease linked\n",
      "LAG3\n",
      "Not disease linked\n",
      "PSMB8\n",
      "Not disease linked\n",
      "PRKCB\n",
      "Not disease linked\n",
      "PSMB9\n",
      "Not disease linked\n",
      "PSMD14\n",
      "Not disease linked\n",
      "PSMB6\n",
      "Not disease linked\n",
      "TNFRSF14\n",
      "Not disease linked\n",
      "OPN4\n",
      "Not disease linked\n",
      "TNFRSF6B\n",
      "Not disease linked\n",
      "LTBR\n",
      "LILRB5\n",
      "Not disease linked\n",
      "CD99\n",
      "Not disease linked\n",
      "MXRA5\n",
      "Not disease linked\n",
      "BTN3A2\n",
      "CNTNAP2\n",
      "TYR\n",
      "SEMA6B\n",
      "Not disease linked\n",
      "HAVCR2\n",
      "LRRC4B\n",
      "Not disease linked\n",
      "CNMD\n",
      "Not disease linked\n",
      "S100A1\n",
      "Not disease linked\n",
      "DEFB4B\n",
      "Not disease linked\n",
      "S100A12\n",
      "Not disease linked\n",
      "HP\n",
      "S100A9\n",
      "Not disease linked\n",
      "PRG4\n",
      "Not disease linked\n",
      "S100A8\n",
      "Not disease linked\n",
      "SFTPD\n",
      "Not disease linked\n",
      "HSPA4\n",
      "Not disease linked\n",
      "ANGPTL2\n",
      "Not disease linked\n",
      "CSF1\n",
      "Not disease linked\n",
      "IL16\n",
      "Not disease linked\n",
      "CLEC4M\n",
      "Not disease linked\n",
      "MTOR\n",
      "Not disease linked\n",
      "CCR5\n",
      "Not disease linked\n",
      "GZMB\n",
      "Not disease linked\n",
      "IL12RB1\n",
      "Not disease linked\n",
      "NOS2\n",
      "Not disease linked\n",
      "GZMA\n",
      "Not disease linked\n",
      "IL1R1\n",
      "Not disease linked\n",
      "IL12RB2\n",
      "Not disease linked\n",
      "ATP2A2\n",
      "TAC1\n",
      "Not disease linked\n",
      "NPY\n",
      "Not disease linked\n",
      "GHRH\n",
      "Not disease linked\n",
      "GIP\n",
      "Not disease linked\n",
      "ADA\n",
      "Not disease linked\n",
      "NPPB\n",
      "Not disease linked\n",
      "ADCYAP1\n",
      "Not disease linked\n",
      "PAM\n",
      "PYY\n",
      "Not disease linked\n",
      "ETV5\n",
      "GDF15\n",
      "Not disease linked\n",
      "OCLN\n",
      "Not disease linked\n",
      "CGN\n",
      "Not disease linked\n",
      "EREG\n",
      "Not disease linked\n",
      "EPGN\n",
      "Not disease linked\n",
      "NRG3\n",
      "Not disease linked\n",
      "BTC\n",
      "Not disease linked\n",
      "HBEGF\n",
      "NRG2\n",
      "Not disease linked\n",
      "NRG4\n",
      "Not disease linked\n",
      "ATP2B1\n",
      "PTGS1\n",
      "Not disease linked\n",
      "MC2R\n",
      "Not disease linked\n",
      "TPH1\n",
      "Not disease linked\n",
      "CRHR2\n",
      "Not disease linked\n",
      "ALK\n",
      "Not disease linked\n",
      "NCL\n",
      "Not disease linked\n",
      "CDH10\n",
      "SDC1\n",
      "Not disease linked\n",
      "PTPRB\n",
      "Not disease linked\n",
      "NRP2\n",
      "Not disease linked\n",
      "PLXNA3\n",
      "Not disease linked\n",
      "CALR\n",
      "Not disease linked\n",
      "FCN1\n",
      "Not disease linked\n",
      "MDK\n",
      "FCN2\n",
      "Not disease linked\n",
      "APOC2\n",
      "Not disease linked\n",
      "APOA1\n",
      "Not disease linked\n",
      "APOA4\n",
      "Not disease linked\n",
      "APOC3\n",
      "Not disease linked\n",
      "ERFE\n",
      "Not disease linked\n",
      "DKK1\n",
      "HPX\n",
      "Not disease linked\n",
      "PCSK9\n",
      "Not disease linked\n",
      "MAP3K1\n",
      "Not disease linked\n",
      "MAP2K7\n",
      "Not disease linked\n",
      "MAP3K5\n",
      "Not disease linked\n",
      "MAP4K2\n",
      "Not disease linked\n",
      "MAP2K4\n",
      "Not disease linked\n",
      "MAP2K3\n",
      "Not disease linked\n",
      "HDAC3\n",
      "Not disease linked\n",
      "MAP4K3\n",
      "Not disease linked\n",
      "MAP4K5\n",
      "Not disease linked\n",
      "TNIK\n",
      "Not disease linked\n",
      "S100B\n",
      "Not disease linked\n",
      "TNFSF13\n",
      "Not disease linked\n",
      "RIPK3\n",
      "Not disease linked\n",
      "NRK\n",
      "Not disease linked\n",
      "NSMAF\n",
      "Not disease linked\n",
      "SMPD1\n",
      "Not disease linked\n",
      "RIPK1\n",
      "Not disease linked\n",
      "TUBA1A\n",
      "Not disease linked\n",
      "TUBB\n",
      "Not disease linked\n",
      "TRPC4\n",
      "Not disease linked\n",
      "TYRO3\n",
      "Not disease linked\n",
      "TRPV4\n",
      "Not disease linked\n",
      "TXK\n",
      "TRPC6\n",
      "Not disease linked\n",
      "TNK2\n",
      "TRPV6\n",
      "Not disease linked\n",
      "SLK\n",
      "Not disease linked\n",
      "ZAP70\n",
      "Not disease linked\n",
      "SPN\n",
      "Not disease linked\n",
      "PTPRC\n",
      "Not disease linked\n",
      "PTPRE\n",
      "Not disease linked\n",
      "STK11\n",
      "Not disease linked\n",
      "PTPRJ\n",
      "RPS6KA3\n",
      "Not disease linked\n",
      "UNC119\n",
      "Not disease linked\n",
      "SIGLEC10\n",
      "Not disease linked\n",
      "THY1\n",
      "Not disease linked\n",
      "SYK\n",
      "Not disease linked\n",
      "RACK1\n",
      "Not disease linked\n",
      "TUBA4A\n",
      "AATK\n",
      "PTGS2\n",
      "Not disease linked\n",
      "MAPK14\n",
      "Not disease linked\n",
      "CTLA4\n",
      "Not disease linked\n",
      "DCBLD2\n",
      "Not disease linked\n",
      "EIF2AK2\n",
      "Not disease linked\n",
      "F2R\n",
      "Not disease linked\n",
      "FAS\n",
      "Not disease linked\n",
      "FCER1G\n",
      "Not disease linked\n",
      "FCER2\n",
      "Not disease linked\n",
      "FCGR2B\n",
      "Not disease linked\n",
      "FCGR2C\n",
      "Not disease linked\n",
      "FGR\n",
      "Not disease linked\n",
      "FLOT1\n",
      "GRIN2B\n",
      "Not disease linked\n",
      "GRM1\n",
      "Not disease linked\n",
      "GSK3B\n",
      "Not disease linked\n",
      "IL2RB\n",
      "Not disease linked\n",
      "ITK\n",
      "Not disease linked\n",
      "ITPR1\n",
      "Not disease linked\n",
      "LAT\n",
      "Not disease linked\n",
      "LYN\n",
      "Not disease linked\n",
      "CSK\n",
      "Not disease linked\n",
      "CNTNAP1\n",
      "Not disease linked\n",
      "CDK6\n",
      "Not disease linked\n",
      "CD300LB\n",
      "Not disease linked\n",
      "ADAM15\n",
      "Not disease linked\n",
      "ARRB2\n",
      "Not disease linked\n",
      "BCR\n",
      "Not disease linked\n",
      "BMX\n",
      "Not disease linked\n",
      "BSG\n",
      "Not disease linked\n",
      "CD19\n",
      "CD244\n",
      "Not disease linked\n",
      "CD247\n",
      "Not disease linked\n",
      "CD300LF\n",
      "Not disease linked\n",
      "CDK2\n",
      "Not disease linked\n",
      "CD36\n",
      "Not disease linked\n",
      "CD3E\n",
      "Not disease linked\n",
      "CD3G\n",
      "Not disease linked\n",
      "CD44\n",
      "Not disease linked\n",
      "CD5\n",
      "CD55\n",
      "Not disease linked\n",
      "CD79A\n",
      "Not disease linked\n",
      "CD79B\n",
      "Not disease linked\n",
      "MAPK11\n",
      "Not disease linked\n",
      "HCK\n",
      "Not disease linked\n",
      "PECAM1\n",
      "Not disease linked\n",
      "NOX4\n",
      "PIK3CB\n",
      "Not disease linked\n",
      "PIK3CD\n",
      "Not disease linked\n",
      "MS4A1\n",
      "Not disease linked\n",
      "PLAUR\n",
      "Not disease linked\n",
      "PLK1\n",
      "Not disease linked\n",
      "MCAM\n",
      "Not disease linked\n",
      "PRKACA\n",
      "Not disease linked\n",
      "PAK1\n",
      "Not disease linked\n",
      "PDE4D\n",
      "Not disease linked\n",
      "PRKCD\n",
      "Not disease linked\n",
      "PRKCQ\n",
      "Not disease linked\n",
      "NFE2L2\n",
      "Not disease linked\n",
      "MST1R\n",
      "ADM2\n",
      "Not disease linked\n",
      "SST\n",
      "NPPA\n",
      "Not disease linked\n",
      "ANGPT1\n",
      "Not disease linked\n",
      "C1QL1\n",
      "Not disease linked\n",
      "NPTX1\n",
      "Not disease linked\n",
      "SDK2\n",
      "Not disease linked\n",
      "CEACAM19\n",
      "Not disease linked\n",
      "SMPD2\n",
      "Not disease linked\n",
      "NGFR\n",
      "Not disease linked\n",
      "IRAK1\n",
      "Not disease linked\n",
      "MAPK10\n",
      "Not disease linked\n",
      "MAPK8\n",
      "Not disease linked\n",
      "SORCS2\n",
      "Not disease linked\n",
      "CASP6\n",
      "Not disease linked\n",
      "MAP2K5\n",
      "MAGED1\n",
      "Not disease linked\n",
      "MAPK9\n",
      "Not disease linked\n",
      "TRPV1\n",
      "Not disease linked\n",
      "LPA\n",
      "Not disease linked\n",
      "RAMP1\n",
      "Not disease linked\n",
      "CALCRL\n",
      "Not disease linked\n",
      "NRCAM\n",
      "Not disease linked\n",
      "FCGRT\n",
      "Not disease linked\n",
      "NOTCH2\n",
      "Not disease linked\n",
      "IL23R\n",
      "Not disease linked\n",
      "PIK3R5\n",
      "Not disease linked\n",
      "EPHB6\n",
      "Not disease linked\n",
      "EPHA8\n",
      "Not disease linked\n",
      "EPHA7\n",
      "Not disease linked\n",
      "EPHA6\n",
      "Not disease linked\n",
      "EPHA10\n",
      "Not disease linked\n",
      "DKK3\n",
      "Not disease linked\n",
      "CCL4\n",
      "Not disease linked\n",
      "EDN2\n",
      "Not disease linked\n",
      "EDN3\n",
      "Not disease linked\n",
      "PRKAA1\n",
      "Not disease linked\n",
      "PRKAB1\n",
      "Not disease linked\n",
      "APOD\n",
      "Not disease linked\n",
      "PRKAG2\n",
      "Not disease linked\n",
      "PRKAG1\n",
      "KIR2DL5A\n",
      "Not disease linked\n",
      "PRKAB2\n",
      "Not disease linked\n",
      "IL11RA\n",
      "Not disease linked\n",
      "VRK2\n",
      "VRK1\n",
      "PLK2\n",
      "ITGA2\n",
      "Not disease linked\n",
      "HDAC4\n",
      "ITGA11\n",
      "Not disease linked\n",
      "ITGA10\n",
      "Not disease linked\n",
      "ITGA4\n",
      "Not disease linked\n",
      "ITGA1\n",
      "Not disease linked\n",
      "ITGA2B\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\core\\indexing.py:1732: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\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",
      "  self._setitem_single_block(indexer, value, name)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ITGA5\n",
      "Not disease linked\n",
      "ITGA7\n",
      "Not disease linked\n",
      "ITGAM\n",
      "Not disease linked\n",
      "ENO1\n",
      "Not disease linked\n",
      "OLR1\n",
      "Not disease linked\n",
      "TLR6\n",
      "Not disease linked\n",
      "PGF\n",
      "Not disease linked\n",
      "SEMA3F\n",
      "Not disease linked\n",
      "FGF4\n",
      "Not disease linked\n",
      "SEMA3E\n",
      "SEMA3D\n",
      "Not disease linked\n",
      "SEMA3C\n",
      "VEGFB\n",
      "Not disease linked\n",
      "IAPP\n",
      "SPON1\n",
      "POMC\n",
      "Not disease linked\n",
      "CCK\n",
      "Not disease linked\n",
      "ZFP91\n",
      "Not disease linked\n",
      "TNFRSF25\n",
      "TFRC\n",
      "Not disease linked\n",
      "PRL\n",
      "Not disease linked\n",
      "S100A6\n",
      "Not disease linked\n",
      "ADCY2\n",
      "CILK1\n",
      "DYRK1A\n",
      "CHRM2\n",
      "PSEN1\n",
      "CHI3L1\n",
      "SLC9A8\n",
      "ASGR1\n",
      "Not disease linked\n",
      "IL1RN\n",
      "Not disease linked\n",
      "BTNL9\n",
      "Not disease linked\n",
      "ISLR2\n",
      "Not disease linked\n",
      "ILDR1\n",
      "IL18BP\n",
      "Not disease linked\n",
      "IL17A\n",
      "Not disease linked\n",
      "HCRT\n",
      "C1QTNF4\n",
      "Not disease linked\n",
      "LGALS1\n",
      "Not disease linked\n",
      "IL25\n",
      "Not disease linked\n",
      "IL27\n",
      "Not disease linked\n",
      "LIF\n",
      "Not disease linked\n",
      "EBI3\n",
      "Not disease linked\n",
      "TNFSF11\n",
      "Not disease linked\n",
      "CLCF1\n",
      "Not disease linked\n",
      "TNFSF18\n",
      "NTF4\n",
      "Not disease linked\n",
      "IL9\n",
      "Not disease linked\n",
      "PDGFA\n",
      "Not disease linked\n",
      "NTF3\n",
      "Not disease linked\n",
      "THPO\n",
      "Not disease linked\n",
      "TSLP\n",
      "Not disease linked\n",
      "IL7\n",
      "BCL2\n",
      "Not disease linked\n",
      "CRLF2\n",
      "Not disease linked\n",
      "AKT3\n",
      "LRP4\n",
      "Not disease linked\n",
      "IL4R\n",
      "Not disease linked\n",
      "BST2\n",
      "Not disease linked\n",
      "SRPK2\n",
      "IL5\n",
      "Not disease linked\n",
      "CDH11\n",
      "SIRPB2\n",
      "Not disease linked\n",
      "ADGRA2\n",
      "Not disease linked\n",
      "TMED5\n",
      "Not disease linked\n",
      "ROR2\n",
      "Not disease linked\n",
      "RYK\n",
      "Not disease linked\n",
      "TLN1\n",
      "Not disease linked\n",
      "VCL\n",
      "Not disease linked\n",
      "LTBP3\n",
      "FNDC5\n",
      "Not disease linked\n",
      "EDIL3\n",
      "Not disease linked\n",
      "MFGE8\n",
      "Not disease linked\n",
      "CSNK1A1\n",
      "Not disease linked\n",
      "SMO\n",
      "Not disease linked\n",
      "VEGFD\n",
      "Not disease linked\n",
      "VEGFC\n",
      "NPNT\n",
      "Not disease linked\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 5.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n",
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 10.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n",
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 7.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n",
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 7.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n",
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 11.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n",
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 7.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 792x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FYN\n",
      "STAT3\n",
      "ITGB5\n",
      "RELN\n",
      "SNCA\n",
      "CRH\n",
      "TLR4\n",
      "ITGA8\n",
      "WNT3\n",
      "ERBB4\n",
      "IL7R\n",
      "LEPR\n",
      "IL12A\n",
      "APOE\n",
      "GAL\n",
      "NRXN1\n",
      "NOTCH3\n",
      "APP\n",
      "FSTL5\n",
      "PRKD1\n",
      "DCC\n",
      "TGFBR2\n",
      "TNF\n",
      "Not disease linked\n",
      "PDCD1\n",
      "IL2RA\n",
      "TNFSF14\n",
      "EPHA1\n",
      "GRIA1\n",
      "S1PR1\n",
      "CD47\n",
      "PTPN6\n",
      "Not disease linked\n",
      "MPO\n",
      "IFNG\n",
      "Not disease linked\n",
      "MAP4K4\n",
      "SEMA6D\n",
      "DCLK3\n",
      "SLURP1\n",
      "Not disease linked\n",
      "EGF\n",
      "Not disease linked\n",
      "KIT\n",
      "Not disease linked\n",
      "KDR\n",
      "Not disease linked\n",
      "ATM\n",
      "SLURP2\n",
      "Not disease linked\n",
      "TYK2\n",
      "TGFB1\n",
      "MAPK1\n",
      "FGFR3\n",
      "PLA2G6\n",
      "LGI1\n",
      "LRFN5\n",
      "FES\n",
      "INPP5D\n",
      "SCN9A\n",
      "GRIN2A\n",
      "NEGR1\n",
      "NMUR2\n",
      "CHRNA7\n",
      "CD86\n",
      "SYNJ1\n",
      "PLCG2\n",
      "CLEC2D\n",
      "JAK2\n",
      "Not disease linked\n",
      "CNTN4\n",
      "CD33\n",
      "SOCS2\n",
      "Not disease linked\n",
      "NTN1\n",
      "Not disease linked\n",
      "THBS2\n",
      "Not disease linked\n",
      "SCN1A\n",
      "SCN2A\n",
      "VEGFA\n",
      "Not disease linked\n",
      "CD58\n",
      "EFNB1\n",
      "Not disease linked\n",
      "TP53\n",
      "Not disease linked\n",
      "IL6\n",
      "Not disease linked\n",
      "ANXA1\n",
      "Not disease linked\n",
      "LCK\n",
      "BDNF\n",
      "Not disease linked\n",
      "SLC2A1\n",
      "CR1\n",
      "EFNB2\n",
      "Not disease linked\n",
      "PDGFB\n",
      "Not disease linked\n",
      "AGT\n",
      "Not disease linked\n",
      "ANG\n",
      "LEP\n",
      "Not disease linked\n",
      "CSF2\n",
      "Not disease linked\n",
      "ACE\n",
      "ESR2\n",
      "CHRNA4\n",
      "IGF1\n",
      "Not disease linked\n",
      "IL22RA2\n",
      "LINGO1\n",
      "SORL1\n",
      "TUBB3\n",
      "Not disease linked\n",
      "MAPT\n",
      "ATP2A2\n",
      "CNTNAP2\n",
      "PLG\n",
      "Not disease linked\n",
      "EFEMP2\n",
      "Not disease linked\n",
      "CNTN2\n",
      "Not disease linked\n",
      "CNTFR\n",
      "Not disease linked\n",
      "CD40LG\n",
      "Not disease linked\n",
      "CALCA\n",
      "FAM3C\n",
      "Not disease linked\n",
      "IL1B\n",
      "Not disease linked\n",
      "EDN1\n",
      "Not disease linked\n",
      "EGFR\n",
      "Not disease linked\n",
      "SPP1\n",
      "Not disease linked\n",
      "FGF12\n",
      "Not disease linked\n",
      "FGF11\n",
      "Not disease linked\n",
      "FGF13\n",
      "Not disease linked\n",
      "FGF14\n",
      "Not disease linked\n",
      "PTPRF\n",
      "RAF1\n",
      "Not disease linked\n",
      "PLCE1\n",
      "CAMK2D\n",
      "STK39\n",
      "THBS1\n",
      "Not disease linked\n",
      "THBS4\n",
      "Not disease linked\n",
      "VTN\n",
      "Not disease linked\n",
      "COMP\n",
      "Not disease linked\n",
      "CXCL12\n",
      "Not disease linked\n",
      "CSF3\n",
      "LRP6\n",
      "Not disease linked\n",
      "MAPK3\n",
      "TH\n",
      "Not disease linked\n",
      "EFNA5\n",
      "CCN2\n",
      "Not disease linked\n",
      "ADIPOQ\n",
      "Not disease linked\n",
      "DCN\n",
      "Not disease linked\n",
      "GP6\n",
      "Not disease linked\n",
      "SRC\n",
      "Not disease linked\n",
      "PRKCE\n",
      "Not disease linked\n",
      "PRKCA\n",
      "Not disease linked\n",
      "PLD2\n",
      "Not disease linked\n",
      "CD2\n",
      "Not disease linked\n",
      "PTPRT\n",
      "Not disease linked\n",
      "PLXNA1\n",
      "Not disease linked\n",
      "TREM2\n",
      "FASLG\n",
      "Not disease linked\n",
      "CD28\n",
      "TNFRSF1A\n",
      "SLIT2\n",
      "Not disease linked\n",
      "TEK\n",
      "Not disease linked\n",
      "SLAMF1\n",
      "IL6R\n",
      "SDC2\n",
      "Not disease linked\n",
      "RETN\n",
      "Not disease linked\n",
      "DLL1\n",
      "Not disease linked\n",
      "NMU\n",
      "Not disease linked\n",
      "BTN1A1\n",
      "LIFR\n",
      "Not disease linked\n",
      "NMS\n",
      "Not disease linked\n",
      "NTS\n",
      "Not disease linked\n",
      "IL21\n",
      "TBK1\n",
      "ITGB1\n",
      "Not disease linked\n",
      "ITGB3\n",
      "Not disease linked\n",
      "ITGA6\n",
      "Not disease linked\n",
      "ITGB6\n",
      "Not disease linked\n",
      "ITGB7\n",
      "ITGB8\n",
      "Not disease linked\n",
      "ITGB4\n",
      "Not disease linked\n",
      "ABL1\n",
      "Not disease linked\n",
      "LRP8\n",
      "Not disease linked\n",
      "VLDLR\n",
      "Not disease linked\n",
      "IL1A\n",
      "Not disease linked\n",
      "EPOR\n",
      "Not disease linked\n",
      "EPHA3\n",
      "Not disease linked\n",
      "PDGFD\n",
      "PTPN11\n",
      "Not disease linked\n",
      "PRKAA2\n",
      "Not disease linked\n",
      "PIK3R1\n",
      "Not disease linked\n",
      "PTK2B\n",
      "PIK3CA\n",
      "Not disease linked\n",
      "NOTCH1\n",
      "Not disease linked\n",
      "IL23A\n",
      "Not disease linked\n",
      "IL12B\n",
      "EPO\n",
      "Not disease linked\n",
      "CD8B\n",
      "CD8A\n",
      "Not disease linked\n",
      "FGF2\n",
      "Not disease linked\n",
      "TGFB3\n",
      "Not disease linked\n",
      "IL22\n",
      "Not disease linked\n",
      "ICAM1\n",
      "Not disease linked\n",
      "CCN1\n",
      "Not disease linked\n",
      "IL2\n",
      "IL4\n",
      "Not disease linked\n",
      "JAK3\n",
      "Not disease linked\n",
      "JAK1\n",
      "CHRNB2\n",
      "CHRNA3\n",
      "CHRNA2\n",
      "LAMA5\n",
      "Not disease linked\n",
      "LAMA4\n",
      "Not disease linked\n",
      "LAMA3\n",
      "Not disease linked\n",
      "LAMA2\n",
      "Not disease linked\n",
      "LAMA1\n",
      "Not disease linked\n",
      "LAMB3\n",
      "LAMB2\n",
      "Not disease linked\n",
      "LAMC2\n",
      "Not disease linked\n",
      "LAMB1\n",
      "Not disease linked\n",
      "LAMC1\n",
      "Not disease linked\n",
      "TNC\n",
      "Not disease linked\n",
      "CHAD\n",
      "Not disease linked\n",
      "COL6A6\n",
      "Not disease linked\n",
      "LAMC3\n",
      "Not disease linked\n",
      "COL6A3\n",
      "Not disease linked\n",
      "COL11A2\n",
      "Not disease linked\n",
      "VWF\n",
      "Not disease linked\n",
      "NXPH3\n",
      "Not disease linked\n",
      "NLGN4X\n",
      "Not disease linked\n",
      "NXPH2\n",
      "Not disease linked\n",
      "NLGN3\n",
      "Not disease linked\n",
      "NLGN1\n",
      "NLGN2\n",
      "Not disease linked\n",
      "RPH3A\n",
      "Not disease linked\n",
      "NXPH1\n",
      "Not disease linked\n",
      "C4B_2\n",
      "Not disease linked\n",
      "GRM5\n",
      "PLXNB2\n",
      "Not disease linked\n",
      "NR0B2\n",
      "Not disease linked\n",
      "KNG1\n",
      "Not disease linked\n",
      "RTN4R\n",
      "PTPRS\n",
      "Not disease linked\n",
      "PTPRD\n",
      "ADAM23\n",
      "Not disease linked\n",
      "BMP4\n",
      "Not disease linked\n",
      "IFNA1\n",
      "Not disease linked\n",
      "CD48\n",
      "Not disease linked\n",
      "CD274\n",
      "Not disease linked\n",
      "PDCD1LG2\n",
      "Not disease linked\n",
      "ADM2\n",
      "Not disease linked\n",
      "ADM\n",
      "Not disease linked\n",
      "FZD2\n",
      "Not disease linked\n",
      "FZD8\n",
      "Not disease linked\n",
      "ROR2\n",
      "Not disease linked\n",
      "FZD7\n",
      "Not disease linked\n",
      "FZD6\n",
      "Not disease linked\n",
      "FZD5\n",
      "Not disease linked\n",
      "FZD3\n",
      "Not disease linked\n",
      "FZD9\n",
      "Not disease linked\n",
      "FZD4\n",
      "Not disease linked\n",
      "FZD10\n",
      "Not disease linked\n",
      "FZD1\n",
      "Not disease linked\n",
      "RYK\n",
      "Not disease linked\n",
      "VIPR1\n",
      "Not disease linked\n",
      "ADCYAP1R1\n",
      "Not disease linked\n",
      "RAMP2\n",
      "Not disease linked\n",
      "RAMP3\n",
      "Not disease linked\n",
      "PTH1R\n",
      "Not disease linked\n",
      "CRHR1\n",
      "CRHR2\n",
      "Not disease linked\n",
      "PIK3CG\n",
      "Not disease linked\n",
      "MC2R\n",
      "Not disease linked\n",
      "ADRB2\n",
      "Not disease linked\n",
      "TPH1\n",
      "Not disease linked\n",
      "TSHR\n",
      "Not disease linked\n",
      "PTGS1\n",
      "Not disease linked\n",
      "GPR20\n",
      "ADRB3\n",
      "Not disease linked\n",
      "GPR84\n",
      "Not disease linked\n",
      "EFNB3\n",
      "Not disease linked\n",
      "ADCY2\n",
      "KLRB1\n",
      "Not disease linked\n",
      "PTPRG\n",
      "APLP1\n",
      "Not disease linked\n",
      "CXCL1\n",
      "Not disease linked\n",
      "CALML3\n",
      "Not disease linked\n",
      "CD80\n",
      "LGALS3BP\n",
      "Not disease linked\n",
      "SIGLEC9\n",
      "Not disease linked\n",
      "EFNA4\n",
      "Not disease linked\n",
      "EFNA2\n",
      "Not disease linked\n",
      "EFNA3\n",
      "Not disease linked\n",
      "EFNA1\n",
      "Not disease linked\n",
      "GALR2\n",
      "Not disease linked\n",
      "CHAT\n",
      "Not disease linked\n",
      "GALR1\n",
      "Not disease linked\n",
      "ADRA2A\n",
      "Not disease linked\n",
      "GALR3\n",
      "Not disease linked\n",
      "MTNR1A\n",
      "Not disease linked\n",
      "GRM7\n",
      "Not disease linked\n",
      "GPR151\n",
      "TNFRSF14\n",
      "Not disease linked\n",
      "LTBR\n",
      "OPN4\n",
      "Not disease linked\n",
      "TNFRSF1B\n",
      "Not disease linked\n",
      "TNFRSF6B\n",
      "Not disease linked\n",
      "UNC5C\n",
      "PSG7\n",
      "Not disease linked\n",
      "IGFBPL1\n",
      "Not disease linked\n",
      "PSG9\n",
      "Not disease linked\n",
      "DRAXIN\n",
      "Not disease linked\n",
      "NTN4\n",
      "Not disease linked\n",
      "LILRB2\n",
      "Not disease linked\n",
      "CHL1\n",
      "Not disease linked\n",
      "CEACAM19\n",
      "Not disease linked\n",
      "SIGLEC6\n",
      "Not disease linked\n",
      "LILRA1\n",
      "Not disease linked\n",
      "SDK2\n",
      "Not disease linked\n",
      "LRIG1\n",
      "NRG1\n",
      "Not disease linked\n",
      "NRG2\n",
      "Not disease linked\n",
      "BTC\n",
      "Not disease linked\n",
      "EPGN\n",
      "Not disease linked\n",
      "TGFA\n",
      "Not disease linked\n",
      "EREG\n",
      "Not disease linked\n",
      "NRG4\n",
      "Not disease linked\n",
      "HBEGF\n",
      "NRG3\n",
      "Not disease linked\n",
      "PSMD14\n",
      "Not disease linked\n",
      "SLC10A2\n",
      "LAG3\n",
      "Not disease linked\n",
      "PSMB6\n",
      "Not disease linked\n",
      "PRKCB\n",
      "Not disease linked\n",
      "PRKCZ\n",
      "Not disease linked\n",
      "MMP3\n",
      "PSMB1\n",
      "Not disease linked\n",
      "PSMB9\n",
      "Not disease linked\n",
      "PSMB2\n",
      "Not disease linked\n",
      "PSMB8\n",
      "Not disease linked\n",
      "PSMB5\n",
      "Not disease linked\n",
      "IDE\n",
      "JAG2\n",
      "Not disease linked\n",
      "JAG1\n",
      "LFNG\n",
      "Not disease linked\n",
      "DLK1\n",
      "Not disease linked\n",
      "DLL3\n",
      "Not disease linked\n",
      "DLL4\n",
      "Not disease linked\n",
      "SCGB3A1\n",
      "Not disease linked\n",
      "GDF15\n",
      "Not disease linked\n",
      "OCLN\n",
      "Not disease linked\n",
      "BMP8A\n",
      "CGN\n",
      "Not disease linked\n",
      "TGFB2\n",
      "Not disease linked\n",
      "AKT3\n",
      "CILK1\n",
      "CHRM2\n",
      "S100A9\n",
      "Not disease linked\n",
      "S100A8\n",
      "Not disease linked\n",
      "SFTPD\n",
      "Not disease linked\n",
      "HSPA4\n",
      "Not disease linked\n",
      "HP\n",
      "S100A12\n",
      "Not disease linked\n",
      "PRG4\n",
      "Not disease linked\n",
      "VIP\n",
      "Not disease linked\n",
      "APOB\n",
      "CXCL10\n",
      "Not disease linked\n",
      "DEFB4B\n",
      "Not disease linked\n",
      "ANGPTL2\n",
      "Not disease linked\n",
      "S100A1\n",
      "Not disease linked\n",
      "PLXNC1\n",
      "PLXNA4\n",
      "PTH\n",
      "Not disease linked\n",
      "NOS2\n",
      "Not disease linked\n",
      "GZMA\n",
      "Not disease linked\n",
      "PPARG\n",
      "Not disease linked\n",
      "STAT6\n",
      "IL12RB2\n",
      "Not disease linked\n",
      "IL12RB1\n",
      "Not disease linked\n",
      "GZMB\n",
      "Not disease linked\n",
      "IL1R1\n",
      "Not disease linked\n",
      "CCR5\n",
      "Not disease linked\n",
      "ANGPT1\n",
      "Not disease linked\n",
      "INS\n",
      "Not disease linked\n",
      "SOS1\n",
      "Not disease linked\n",
      "TNK2\n",
      "ZAP70\n",
      "Not disease linked\n",
      "PLK1\n",
      "Not disease linked\n",
      "THY1\n",
      "Not disease linked\n",
      "SPN\n",
      "Not disease linked\n",
      "STK11\n",
      "Not disease linked\n",
      "SYK\n",
      "Not disease linked\n",
      "PLCG1\n",
      "Not disease linked\n",
      "PLXNA2\n",
      "Not disease linked\n",
      "PTGS2\n",
      "Not disease linked\n",
      "TRPC4\n",
      "Not disease linked\n",
      "SLK\n",
      "Not disease linked\n",
      "YES1\n",
      "Not disease linked\n",
      "PTK2\n",
      "Not disease linked\n",
      "PTPRC\n",
      "Not disease linked\n",
      "PTPRE\n",
      "Not disease linked\n",
      "PTPRJ\n",
      "PTPRZ1\n",
      "Not disease linked\n",
      "RACK1\n",
      "Not disease linked\n",
      "UNC119\n",
      "Not disease linked\n",
      "RPS6KA3\n",
      "Not disease linked\n",
      "PRKCQ\n",
      "Not disease linked\n",
      "TXK\n",
      "TUBB\n",
      "Not disease linked\n",
      "TUBA4A\n",
      "TUBA1A\n",
      "Not disease linked\n",
      "SDC3\n",
      "Not disease linked\n",
      "PRKCD\n",
      "Not disease linked\n",
      "TRPV6\n",
      "Not disease linked\n",
      "TRPV4\n",
      "Not disease linked\n",
      "SIGLEC10\n",
      "Not disease linked\n",
      "PRKACA\n",
      "Not disease linked\n",
      "TRPC6\n",
      "Not disease linked\n",
      "TYRO3\n",
      "Not disease linked\n",
      "AATK\n",
      "PLAUR\n",
      "Not disease linked\n",
      "LAT\n",
      "Not disease linked\n",
      "IL2RB\n",
      "Not disease linked\n",
      "CTLA4\n",
      "Not disease linked\n",
      "CSK\n",
      "Not disease linked\n",
      "CSF2RB\n",
      "CNTNAP1\n",
      "Not disease linked\n",
      "CNTN1\n",
      "CDK6\n",
      "Not disease linked\n",
      "CDK5\n",
      "Not disease linked\n",
      "CDK2\n",
      "Not disease linked\n",
      "CD79B\n",
      "Not disease linked\n",
      "CD79A\n",
      "Not disease linked\n",
      "CD55\n",
      "Not disease linked\n",
      "CD5\n",
      "CD44\n",
      "Not disease linked\n",
      "CD3G\n",
      "Not disease linked\n",
      "CD3E\n",
      "Not disease linked\n",
      "ITGB2\n",
      "Not disease linked\n",
      "ITK\n",
      "Not disease linked\n",
      "ITPR1\n",
      "Not disease linked\n",
      "DCBLD2\n",
      "Not disease linked\n",
      "EIF2AK2\n",
      "Not disease linked\n",
      "EPHA2\n",
      "Not disease linked\n",
      "FCGR2A\n",
      "GRIN2B\n",
      "Not disease linked\n",
      "GRM1\n",
      "Not disease linked\n",
      "GSK3B\n",
      "Not disease linked\n",
      "HCK\n",
      "Not disease linked\n",
      "FGR\n",
      "Not disease linked\n",
      "FCGR2C\n",
      "Not disease linked\n",
      "FCGR2B\n",
      "Not disease linked\n",
      "PIK3R2\n",
      "Not disease linked\n",
      "FCER2\n",
      "Not disease linked\n",
      "EPHA4\n",
      "Not disease linked\n",
      "IGF1R\n",
      "Not disease linked\n",
      "FCER1G\n",
      "Not disease linked\n",
      "FAS\n",
      "Not disease linked\n",
      "F2R\n",
      "Not disease linked\n",
      "ERBB3\n",
      "Not disease linked\n",
      "ERBB2\n",
      "EPHB2\n",
      "Not disease linked\n",
      "EPHB1\n",
      "Not disease linked\n",
      "CD36\n",
      "Not disease linked\n",
      "CD300LF\n",
      "Not disease linked\n",
      "NOX4\n",
      "MS4A1\n",
      "Not disease linked\n",
      "NFE2L2\n",
      "Not disease linked\n",
      "CASP8\n",
      "Not disease linked\n",
      "CASP3\n",
      "Not disease linked\n",
      "BSG\n",
      "Not disease linked\n",
      "BMX\n",
      "Not disease linked\n",
      "BCR\n",
      "Not disease linked\n",
      "ARRB2\n",
      "Not disease linked\n",
      "NTRK2\n",
      "Not disease linked\n",
      "PAK1\n",
      "Not disease linked\n",
      "PDE4D\n",
      "Not disease linked\n",
      "ADAM15\n",
      "Not disease linked\n",
      "PDGFRB\n",
      "PECAM1\n",
      "Not disease linked\n",
      "PIK3CB\n",
      "Not disease linked\n",
      "PIK3CD\n",
      "Not disease linked\n",
      "MST1R\n",
      "FLOT1\n",
      "MAPK11\n",
      "Not disease linked\n",
      "CD244\n",
      "Not disease linked\n",
      "MCAM\n",
      "Not disease linked\n",
      "MAPK7\n",
      "Not disease linked\n",
      "MAPK14\n",
      "Not disease linked\n",
      "LPP\n",
      "CD300LB\n",
      "Not disease linked\n",
      "CD247\n",
      "Not disease linked\n",
      "LYN\n",
      "Not disease linked\n",
      "CD226\n",
      "CD19\n",
      "LRP1\n",
      "LRP5\n",
      "Not disease linked\n",
      "LSR\n",
      "Not disease linked\n",
      "LRP4\n",
      "Not disease linked\n",
      "LRP2\n",
      "Not disease linked\n",
      "SCARB1\n",
      "LDLR\n",
      "Not disease linked\n",
      "VRK2\n",
      "IL16\n",
      "Not disease linked\n",
      "GCG\n",
      "Not disease linked\n",
      "C1QL1\n",
      "Not disease linked\n",
      "NPTX1\n",
      "Not disease linked\n",
      "POMC\n",
      "Not disease linked\n",
      "WNT3A\n",
      "Not disease linked\n",
      "AVP\n",
      "Not disease linked\n",
      "CCK\n",
      "Not disease linked\n",
      "ZP3\n",
      "Not disease linked\n",
      "IL3\n",
      "Not disease linked\n",
      "SAA1\n",
      "Not disease linked\n",
      "ITGA11\n",
      "Not disease linked\n",
      "ITGA10\n",
      "Not disease linked\n",
      "ITGA1\n",
      "Not disease linked\n",
      "ITGA2\n",
      "Not disease linked\n",
      "ITGA2B\n",
      "ITGA3\n",
      "Not disease linked\n",
      "ITGA4\n",
      "Not disease linked\n",
      "HDAC4\n",
      "ITGA5\n",
      "Not disease linked\n",
      "ITGA7\n",
      "Not disease linked\n",
      "ITGA9\n",
      "ITGAV\n",
      "Not disease linked\n",
      "SRPK2\n",
      "CHI3L1\n",
      "PSEN1\n",
      "IL18\n",
      "Not disease linked\n",
      "IAPP\n",
      "SPON1\n",
      "IGF2\n",
      "Not disease linked\n",
      "SI\n",
      "Not disease linked\n",
      "TNFSF18\n",
      "GH1\n",
      "Not disease linked\n",
      "TNFSF11\n",
      "Not disease linked\n",
      "PDGFA\n",
      "Not disease linked\n",
      "TNFSF12\n",
      "Not disease linked\n",
      "OSM\n",
      "Not disease linked\n",
      "LGALS1\n",
      "Not disease linked\n",
      "NTF4\n",
      "Not disease linked\n",
      "LIF\n",
      "Not disease linked\n",
      "C1QTNF4\n",
      "Not disease linked\n",
      "NGF\n",
      "KITLG\n",
      "Not disease linked\n",
      "NTF3\n",
      "Not disease linked\n",
      "HGF\n",
      "CLCF1\n",
      "Not disease linked\n",
      "EBI3\n",
      "Not disease linked\n",
      "FGF1\n",
      "Not disease linked\n",
      "IL10\n",
      "Not disease linked\n",
      "IL11\n",
      "Not disease linked\n",
      "IL13\n",
      "Not disease linked\n",
      "FGFR4\n",
      "Not disease linked\n",
      "IL25\n",
      "Not disease linked\n",
      "IL17A\n",
      "Not disease linked\n",
      "IL27\n",
      "Not disease linked\n",
      "HCRT\n",
      "IL9\n",
      "Not disease linked\n",
      "THPO\n",
      "Not disease linked\n",
      "IL6ST\n",
      "Not disease linked\n",
      "KIR2DL5A\n",
      "Not disease linked\n",
      "PRKAA1\n",
      "Not disease linked\n",
      "PRKAB2\n",
      "Not disease linked\n",
      "PRKAG1\n",
      "PRKAG2\n",
      "Not disease linked\n",
      "PRKAB1\n",
      "Not disease linked\n",
      "APOD\n",
      "Not disease linked\n",
      "IL15\n",
      "Not disease linked\n",
      "IL1RN\n",
      "Not disease linked\n",
      "IL7\n",
      "TSLP\n",
      "Not disease linked\n",
      "CRLF2\n",
      "Not disease linked\n",
      "TNFRSF11B\n",
      "Not disease linked\n",
      "BCL2\n",
      "Not disease linked\n",
      "LGALS9\n",
      "Not disease linked\n",
      "SIRPB2\n",
      "Not disease linked\n",
      "LTBP3\n",
      "VCL\n",
      "Not disease linked\n",
      "MFGE8\n",
      "Not disease linked\n",
      "EDIL3\n",
      "Not disease linked\n",
      "TLN1\n",
      "Not disease linked\n",
      "FNDC5\n",
      "Not disease linked\n",
      "NPNT\n",
      "Not disease linked\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\core\\indexing.py:1732: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\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",
      "  self._setitem_single_block(indexer, value, name)\n",
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 10.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n",
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 6.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n",
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 11.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n",
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 7.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n",
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 10.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n",
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 5.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 792x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RELN\n",
      "SNCA\n",
      "TLR4\n",
      "APOE\n",
      "GAL\n",
      "NOTCH3\n",
      "APP\n",
      "PRKD1\n",
      "DCC\n",
      "GRIA1\n",
      "FYN\n",
      "TNF\n",
      "Not disease linked\n",
      "LGI1\n",
      "LRFN5\n",
      "ATM\n",
      "GRIN2A\n",
      "PLA2G6\n",
      "IFNG\n",
      "Not disease linked\n",
      "SCN9A\n",
      "NEGR1\n",
      "ANG\n",
      "ESR2\n",
      "CHRNB2\n",
      "ACE\n",
      "CNTN4\n",
      "SCN2A\n",
      "SCN1A\n",
      "CR1\n",
      "NTN1\n",
      "Not disease linked\n",
      "GRM5\n",
      "SORL1\n",
      "AKT3\n",
      "FGFR3\n",
      "EFNB2\n",
      "Not disease linked\n",
      "MAPT\n",
      "PLG\n",
      "Not disease linked\n",
      "TUBB3\n",
      "Not disease linked\n",
      "CNTNAP2\n",
      "CNTN2\n",
      "Not disease linked\n",
      "CNTFR\n",
      "Not disease linked\n",
      "ATP2A2\n",
      "VEGFA\n",
      "Not disease linked\n",
      "CILK1\n",
      "TBK1\n",
      "STK39\n",
      "EDN1\n",
      "Not disease linked\n",
      "IL1B\n",
      "Not disease linked\n",
      "IL6\n",
      "Not disease linked\n",
      "TP53\n",
      "Not disease linked\n",
      "MAPK3\n",
      "MAPK1\n",
      "TH\n",
      "Not disease linked\n",
      "LRP8\n",
      "Not disease linked\n",
      "VLDLR\n",
      "Not disease linked\n",
      "FGF12\n",
      "Not disease linked\n",
      "FGF14\n",
      "Not disease linked\n",
      "FGF13\n",
      "Not disease linked\n",
      "FGF11\n",
      "Not disease linked\n",
      "NOTCH1\n",
      "Not disease linked\n",
      "SLIT2\n",
      "Not disease linked\n",
      "BDNF\n",
      "Not disease linked\n",
      "NTS\n",
      "Not disease linked\n",
      "IGF1\n",
      "Not disease linked\n",
      "EGF\n",
      "Not disease linked\n",
      "SLURP1\n",
      "Not disease linked\n",
      "NR0B2\n",
      "Not disease linked\n",
      "KNG1\n",
      "Not disease linked\n",
      "LIFR\n",
      "Not disease linked\n",
      "SLURP2\n",
      "Not disease linked\n",
      "CXCL12\n",
      "Not disease linked\n",
      "PLXNB2\n",
      "Not disease linked\n",
      "CSF3\n",
      "EGFR\n",
      "Not disease linked\n",
      "BTN1A1\n",
      "ADAM23\n",
      "Not disease linked\n",
      "PTPRD\n",
      "PTPRF\n",
      "PTPRS\n",
      "Not disease linked\n",
      "RAF1\n",
      "Not disease linked\n",
      "RTN4R\n",
      "C4B_2\n",
      "Not disease linked\n",
      "UNC5C\n",
      "LFNG\n",
      "Not disease linked\n",
      "JAG2\n",
      "Not disease linked\n",
      "DLK1\n",
      "Not disease linked\n",
      "JAG1\n",
      "SCGB3A1\n",
      "Not disease linked\n",
      "DLL1\n",
      "Not disease linked\n",
      "DLL3\n",
      "Not disease linked\n",
      "DLL4\n",
      "Not disease linked\n",
      "THBS2\n",
      "Not disease linked\n",
      "IL1A\n",
      "Not disease linked\n",
      "CD80\n",
      "ADCY2\n",
      "APLP1\n",
      "Not disease linked\n",
      "PTPRG\n",
      "VRK2\n",
      "PRG4\n",
      "Not disease linked\n",
      "CXCL10\n",
      "Not disease linked\n",
      "ANGPTL2\n",
      "Not disease linked\n",
      "CCN1\n",
      "Not disease linked\n",
      "VIP\n",
      "Not disease linked\n",
      "APOB\n",
      "HSPA4\n",
      "Not disease linked\n",
      "S100A1\n",
      "Not disease linked\n",
      "DCN\n",
      "Not disease linked\n",
      "HP\n",
      "SFTPD\n",
      "Not disease linked\n",
      "IL21\n",
      "DEFB4B\n",
      "Not disease linked\n",
      "S100A9\n",
      "Not disease linked\n",
      "S100A8\n",
      "Not disease linked\n",
      "RETN\n",
      "Not disease linked\n",
      "S100A12\n",
      "Not disease linked\n",
      "PRKCB\n",
      "Not disease linked\n",
      "PLD2\n",
      "Not disease linked\n",
      "SRC\n",
      "Not disease linked\n",
      "SLC10A2\n",
      "PRKCA\n",
      "Not disease linked\n",
      "PSMB6\n",
      "Not disease linked\n",
      "MMP3\n",
      "LAG3\n",
      "Not disease linked\n",
      "PSMD14\n",
      "Not disease linked\n",
      "PRKCE\n",
      "Not disease linked\n",
      "PRKCZ\n",
      "Not disease linked\n",
      "PSMB9\n",
      "Not disease linked\n",
      "PSMB1\n",
      "Not disease linked\n",
      "PSMB2\n",
      "Not disease linked\n",
      "PSMB5\n",
      "Not disease linked\n",
      "PSMB8\n",
      "Not disease linked\n",
      "IDE\n",
      "ABL1\n",
      "Not disease linked\n",
      "ITGB6\n",
      "Not disease linked\n",
      "ITGA2\n",
      "Not disease linked\n",
      "ITGB4\n",
      "Not disease linked\n",
      "HDAC4\n",
      "ITGA1\n",
      "Not disease linked\n",
      "ITGA10\n",
      "Not disease linked\n",
      "ITGA11\n",
      "Not disease linked\n",
      "ITGA2B\n",
      "ITGA3\n",
      "Not disease linked\n",
      "ITGA5\n",
      "Not disease linked\n",
      "ITGA6\n",
      "Not disease linked\n",
      "ITGA7\n",
      "Not disease linked\n",
      "ITGA8\n",
      "ITGA9\n",
      "ITGAV\n",
      "Not disease linked\n",
      "ITGB1\n",
      "Not disease linked\n",
      "ITGB3\n",
      "Not disease linked\n",
      "ITGA4\n",
      "Not disease linked\n",
      "ITGB7\n",
      "ITGB8\n",
      "Not disease linked\n",
      "ITGB5\n",
      "GALR3\n",
      "Not disease linked\n",
      "ADRA2A\n",
      "Not disease linked\n",
      "GRM7\n",
      "Not disease linked\n",
      "GPR151\n",
      "MTNR1A\n",
      "Not disease linked\n",
      "GALR2\n",
      "Not disease linked\n",
      "CHAT\n",
      "Not disease linked\n",
      "GALR1\n",
      "Not disease linked\n",
      "TREM2\n",
      "LRP5\n",
      "Not disease linked\n",
      "SCARB1\n",
      "LRP6\n",
      "Not disease linked\n",
      "LSR\n",
      "Not disease linked\n",
      "LRP4\n",
      "Not disease linked\n",
      "SDC2\n",
      "Not disease linked\n",
      "LRP2\n",
      "Not disease linked\n",
      "LRP1\n",
      "LDLR\n",
      "Not disease linked\n",
      "CHRNA4\n",
      "DRAXIN\n",
      "Not disease linked\n",
      "NTN4\n",
      "Not disease linked\n",
      "IGFBPL1\n",
      "Not disease linked\n",
      "PSG7\n",
      "Not disease linked\n",
      "PSG9\n",
      "Not disease linked\n",
      "IL16\n",
      "Not disease linked\n",
      "ANXA1\n",
      "Not disease linked\n",
      "PTH\n",
      "Not disease linked\n",
      "PSEN1\n",
      "TGFB1\n",
      "SPON1\n",
      "IAPP\n",
      "CD40LG\n",
      "Not disease linked\n",
      "IL18\n",
      "Not disease linked\n",
      "AGT\n",
      "Not disease linked\n",
      "AVP\n",
      "Not disease linked\n",
      "POMC\n",
      "Not disease linked\n",
      "CCK\n",
      "Not disease linked\n",
      "WNT3A\n",
      "Not disease linked\n",
      "C1QL1\n",
      "Not disease linked\n",
      "GCG\n",
      "Not disease linked\n",
      "NPTX1\n",
      "Not disease linked\n",
      "TUBA4A\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\core\\indexing.py:1732: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\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",
      "  self._setitem_single_block(indexer, value, name)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 792x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "res = ['0.4', '0.55', '0.7']\n",
    "sns.set(font_scale=1.2, style = 'whitegrid')\n",
    "drug = pd.read_csv('raw_data/disease_annotation/druggablegenome.csv')\n",
    "for n in range (0,len(res)):\n",
    "        df = pd.read_csv('processed_data/03-LR_network_visualisation/03a_genetic_association_test/pagerank_network_%s.csv' % res[n])    # Load pagerank results for LRs\n",
    "        df.rename(columns = {'Unnamed: 0':'gene', '0':'pagerank_score'}, inplace = True)\n",
    "        df.reset_index(inplace = True)\n",
    "\n",
    "        df_tgts = pd.read_csv(\"processed_data/hot-encoded-diseases_0.100000.csv\")                                                       # Load disease v gene relationship\n",
    "        df_tgts['gene']=df_tgts['genes']\n",
    "        df_tgts = df_tgts.drop(columns=['genes']).set_index(['gene'])\n",
    "\n",
    "        df['source_disease'] = ' '\n",
    "\n",
    "        for m in range(0,np.shape(df)[0]):                                                                                               # Annotate pagerank with diseases\n",
    "                print(df['gene'][m])\n",
    "                if df['gene'][m] in list(df_tgts.index):\n",
    "                        subset = df_tgts.loc[df['gene'][m]]\n",
    "                        df['source_disease'].iloc[m] = ','.join(list(subset[subset==True].index))\n",
    "                else: \n",
    "                        print('Not disease linked')\n",
    "        df_drug = df.merge(drug, left_on = 'gene', right_on = 'hgnc_names', how = 'left')                                               # Add druggable genome annotation\n",
    "        df_drug.replace({'N': 1.0, 'Y':1.0, np.nan:0.25}, inplace = True)\n",
    "        df_drug['small_mol_druggable'] = df_drug['small_mol_druggable'].astype(float)\n",
    "        df_drug['source_disease'] = df_drug['source_disease'].str.split(',')\n",
    "        exploded = df_drug.explode('source_disease')                                                                                    # Split rows by disease annotation to facilitate plotting\n",
    "        dis_exploded = exploded[exploded['source_disease']!=' ']\n",
    "        dis_exploded.to_csv('processed_data/07-pagerank_visualisation/07b_plot_pagerank/pagerank_scores_druggablediseaseannotations_%sthr.csv' % res[n])        # Save annotated dataframe\n",
    "\n",
    "\n",
    "                                                                                                                                        # Make some plots\n",
    "        plt.figure(figsize=(10,6))\n",
    "        ax = sns.swarmplot(x = dis_exploded['source_disease'], y = dis_exploded['index'], order=[\"AD\",\"ALS\",\"EssentialTremor\",\"FrontotemporalDementia\",\"LBD\",\"PD\",\"ProgressiveSupranuclearPalsy\",\"AnorexiaNervosa\",\"BipolarDisorder\",\"MajorDepressiveDisorder\",\"NeuroticDisorder\",\"OCD\",\"Schizophrenia\",\"TouretteSyndrome\",\"UnipolarDepression\",\"BrainAneurysm\",\"IntracranialHemorrhage\",\"MigraineDisorder\",\"MigraineWithAura\",\"MS\",\"NarcolepsyCataplexy\",\"Narcolepsy\",\"PartialEpilepsy\",\"RestlessLeg\"])\n",
    "        ax.invert_yaxis()\n",
    "        plt.xticks(rotation = 90)\n",
    "        plt.xlabel('')\n",
    "        plt.ylabel('PageRank gene ranking')\n",
    "        plt.title('PageRank Gene rankings')\n",
    "        plt.savefig('plots/07-pagerank_visualisation/07b_plot_pagerank/pagerank_ranks_%sthr.png' % res[n], dpi = 300, bbox_inches = 'tight')\n",
    "        plt.show()\n",
    "\n",
    "        top100 = dis_exploded[dis_exploded['index']<100]\n",
    "        rgb_values = list(sns.color_palette(\"husl\", 24))\n",
    "        color_labels = [\"AD\",\"ALS\",\"EssentialTremor\",\"FrontotemporalDementia\",\"LBD\",\"PD\",\"ProgressiveSupranuclearPalsy\",\"AnorexiaNervosa\",\"BipolarDisorder\",\"MajorDepressiveDisorder\",\"NeuroticDisorder\",\"OCD\",\"Schizophrenia\",\"TouretteSyndrome\",\"UnipolarDepression\",\"BrainAneurysm\",\"IntracranialHemorrhage\",\"MigraineDisorder\",\"MigraineWithAura\",\"MS\",\"NarcolepsyCataplexy\",\"Narcolepsy\",\"PartialEpilepsy\",\"RestlessLeg\"]\n",
    "        color_map = dict(zip(color_labels, rgb_values))\n",
    "        top100 = dis_exploded[dis_exploded['index']<100]\n",
    "        plt.figure(figsize=(11,6))\n",
    "        plt.scatter(x = np.asarray(top100['source_disease']), y = np.asarray(top100['pagerank_score']), alpha = top100['small_mol_druggable'], c = top100['source_disease'].map(color_map), s = 60)\n",
    "        plt.xticks(rotation = 90)\n",
    "        plt.xlabel('')\n",
    "        plt.ylabel('PageRank gene score')\n",
    "        plt.title('Pagerank scores of top 100 highest ranking genes')\n",
    "        plt.savefig('plots/07-pagerank_visualisation/07b_plot_pagerank/pagerank_scores_top100_%sthr.png' % res[n], dpi = 300, bbox_inches = 'tight')\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "        rgb_values = list(sns.color_palette(\"husl\", 24))\n",
    "        color_labels = [\"AD\",\"ALS\",\"EssentialTremor\",\"FrontotemporalDementia\",\"LBD\",\"PD\",\"ProgressiveSupranuclearPalsy\",\"AnorexiaNervosa\",\"BipolarDisorder\",\"MajorDepressiveDisorder\",\"NeuroticDisorder\",\"OCD\",\"Schizophrenia\",\"TouretteSyndrome\",\"UnipolarDepression\",\"BrainAneurysm\",\"IntracranialHemorrhage\",\"MigraineDisorder\",\"MigraineWithAura\",\"MS\",\"NarcolepsyCataplexy\",\"Narcolepsy\",\"PartialEpilepsy\",\"RestlessLeg\"]\n",
    "        color_map = dict(zip(color_labels, rgb_values))\n",
    "        top100 = dis_exploded[dis_exploded['index']<100]\n",
    "        plt.scatter(x = np.asarray(top100['source_disease']), y = np.asarray(top100['pagerank_score']), alpha = top100['small_mol_druggable'], c = top100['source_disease'].map(color_map))\n",
    "        plt.xticks(rotation = 90)\n",
    "        plt.xlabel('')\n",
    "        plt.ylabel('PageRank gene score')\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>level_0</th>\n",
       "      <th>index</th>\n",
       "      <th>gene</th>\n",
       "      <th>pagerank_score</th>\n",
       "      <th>source_disease</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>156</td>\n",
       "      <td>156</td>\n",
       "      <td>RELN</td>\n",
       "      <td>0.057670</td>\n",
       "      <td>PartialEpilepsy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>174</td>\n",
       "      <td>174</td>\n",
       "      <td>SNCA</td>\n",
       "      <td>0.046275</td>\n",
       "      <td>LBD,PD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>183</td>\n",
       "      <td>183</td>\n",
       "      <td>TLR4</td>\n",
       "      <td>0.044199</td>\n",
       "      <td>NeuroticDisorder,UnipolarDepression</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>APOE</td>\n",
       "      <td>0.031583</td>\n",
       "      <td>AD,LBD,PD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>GAL</td>\n",
       "      <td>0.025230</td>\n",
       "      <td>PartialEpilepsy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>194</td>\n",
       "      <td>194</td>\n",
       "      <td>WNT3A</td>\n",
       "      <td>0.002497</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>C1QL1</td>\n",
       "      <td>0.002450</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>GCG</td>\n",
       "      <td>0.002450</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>124</td>\n",
       "      <td>124</td>\n",
       "      <td>NPTX1</td>\n",
       "      <td>0.002450</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>TUBA4A</td>\n",
       "      <td>0.002331</td>\n",
       "      <td>ALS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     level_0  index    gene  pagerank_score  \\\n",
       "0        156    156    RELN        0.057670   \n",
       "1        174    174    SNCA        0.046275   \n",
       "2        183    183    TLR4        0.044199   \n",
       "3         12     12    APOE        0.031583   \n",
       "4         56     56     GAL        0.025230   \n",
       "..       ...    ...     ...             ...   \n",
       "190      194    194   WNT3A        0.002497   \n",
       "191       19     19   C1QL1        0.002450   \n",
       "192       60     60     GCG        0.002450   \n",
       "193      124    124   NPTX1        0.002450   \n",
       "194      187    187  TUBA4A        0.002331   \n",
       "\n",
       "                          source_disease  \n",
       "0                        PartialEpilepsy  \n",
       "1                                 LBD,PD  \n",
       "2    NeuroticDisorder,UnipolarDepression  \n",
       "3                              AD,LBD,PD  \n",
       "4                        PartialEpilepsy  \n",
       "..                                   ...  \n",
       "190                                       \n",
       "191                                       \n",
       "192                                       \n",
       "193                                       \n",
       "194                                  ALS  \n",
       "\n",
       "[195 rows x 5 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values(by=['pagerank_score'], ascending = False).reset_index().drop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('processed_data/03-LR_network_visualisation/03a_genetic_association_test/pagerank_network_0.7.csv')\n",
    "df.rename(columns = {'Unnamed: 0':'gene', '0':'pagerank_score'}, inplace = True)\n",
    "df.reset_index(inplace = True)\n",
    "\n",
    "df_tgts = pd.read_csv(\"processed_data/hot-encoded-diseases_0.100000.csv\")\n",
    "df_tgts['gene']=df_tgts['genes']\n",
    "df_tgts = df_tgts.drop(columns=['genes']).set_index(['gene'])\n",
    "\n",
    "df['source_disease'] = ' '\n",
    "\n",
    "for m in range(0,np.shape(df)[0]):\n",
    "        print(df['gene'][m])\n",
    "        if df['gene'][m] in list(df_tgts.index):\n",
    "                subset = df_tgts.loc[df['gene'][m]]\n",
    "                df['source_disease'].iloc[m] = ','.join(list(subset[subset==True].index))\n",
    "        else: \n",
    "                print('Not disease linked')\n",
    "df['source_disease'] = df['source_disease'].str.split(',')\n",
    "\n",
    "exploded = df.explode('source_disease')\n",
    "dis_exploded = exploded[exploded['source_disease']!=' ']\n",
    "\n",
    "#ax = sns.boxplot(x =dis_exploded['source_disease'], y = dis_exploded['index'], order=[\"AD\",\"ALS\",\"EssentialTremor\",\"FrontotemporalDementia\",\"LBD\",\"PD\",\"ProgressiveSupranuclearPalsy\",\"AnorexiaNervosa\",\"BipolarDisorder\",\"MajorDepressiveDisorder\",\"NeuroticDisorder\",\"OCD\",\"Schizophrenia\",\"TouretteSyndrome\",\"UnipolarDepression\",\"BrainAneurysm\",\"IntracranialHemorrhage\",\"MigraineDisorder\",\"MigraineWithAura\",\"MS\",\"NarcolepsyCataplexy\",\"Narcolepsy\",\"PartialEpilepsy\",\"RestlessLeg\"])\n",
    "ax = sns.swarmplot(x = dis_exploded['source_disease'], y = dis_exploded['index'], order=[\"AD\",\"ALS\",\"EssentialTremor\",\"FrontotemporalDementia\",\"LBD\",\"PD\",\"ProgressiveSupranuclearPalsy\",\"AnorexiaNervosa\",\"BipolarDisorder\",\"MajorDepressiveDisorder\",\"NeuroticDisorder\",\"OCD\",\"Schizophrenia\",\"TouretteSyndrome\",\"UnipolarDepression\",\"BrainAneurysm\",\"IntracranialHemorrhage\",\"MigraineDisorder\",\"MigraineWithAura\",\"MS\",\"NarcolepsyCataplexy\",\"Narcolepsy\",\"PartialEpilepsy\",\"RestlessLeg\"])\n",
    "ax.invert_yaxis()\n",
    "plt.xticks(rotation = 90)\n",
    "plt.xlabel('')\n",
    "plt.ylabel('PageRank gene ranking')\n",
    "plt.savefig('plots/07-pagerank_visualisation/07b_plot_pagerank/pagerank_ranks_0.7thr.png', dpi = 300, bbox_inches = 'tight')\n",
    "plt.show(ax)\n",
    "\n",
    "top100 = dis_exploded[dis_exploded['index']<100]\n",
    "ax = sns.swarmplot(x = top100['source_disease'], y = top100['pagerank_score'], order=[\"AD\",\"ALS\",\"EssentialTremor\",\"FrontotemporalDementia\",\"LBD\",\"PD\",\"ProgressiveSupranuclearPalsy\",\"AnorexiaNervosa\",\"BipolarDisorder\",\"MajorDepressiveDisorder\",\"NeuroticDisorder\",\"OCD\",\"Schizophrenia\",\"TouretteSyndrome\",\"UnipolarDepression\",\"BrainAneurysm\",\"IntracranialHemorrhage\",\"MigraineDisorder\",\"MigraineWithAura\",\"MS\",\"NarcolepsyCataplexy\",\"Narcolepsy\",\"PartialEpilepsy\",\"RestlessLeg\"])\n",
    "plt.xticks(rotation = 90)\n",
    "plt.xlabel('')\n",
    "plt.ylabel('PageRank gene score')\n",
    "plt.savefig('plots/07-pagerank_visualisation/07b_plot_pagerank/pagerank_scores_top100_0.7thr.png', dpi = 300, bbox_inches = 'tight')\n",
    "plt.show(ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "alpha must be between 0 and 1, inclusive, but min is 0.1, max is 2.5",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_12364\\2159303641.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mdf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload_dataset\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"iris\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0malpha_array\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"petal_width\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;31m# alpha values from petal width column\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 5\u001b[1;33m \u001b[0msns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mswarmplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"species\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"petal_length\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mhue\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"species\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0malpha_array\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mc:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\_decorators.py\u001b[0m in \u001b[0;36minner_f\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     44\u001b[0m             )\n\u001b[0;32m     45\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m{\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0marg\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0marg\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparameters\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 46\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     47\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0minner_f\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     48\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py\u001b[0m in \u001b[0;36mswarmplot\u001b[1;34m(x, y, hue, data, order, hue_order, dodge, orient, color, palette, size, edgecolor, linewidth, ax, **kwargs)\u001b[0m\n\u001b[0;32m   3017\u001b[0m                        linewidth=linewidth))\n\u001b[0;32m   3018\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3019\u001b[1;33m     \u001b[0mplotter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3020\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3021\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py\u001b[0m in \u001b[0;36mplot\u001b[1;34m(self, ax, kws)\u001b[0m\n\u001b[0;32m   1418\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkws\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1419\u001b[0m         \u001b[1;34m\"\"\"Make the full plot.\"\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1420\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdraw_swarmplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkws\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1421\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_legend_data\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1422\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mannotate_axes\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\seaborn\\categorical.py\u001b[0m in \u001b[0;36mdraw_swarmplot\u001b[1;34m(self, ax, kws)\u001b[0m\n\u001b[0;32m   1374\u001b[0m                 \u001b[0mkws\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mc\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mpalette\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mpoint_colors\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1375\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0morient\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"v\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1376\u001b[1;33m                     \u001b[0mpoints\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscatter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcat_pos\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mswarm_data\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0ms\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkws\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1377\u001b[0m                 \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1378\u001b[0m                     \u001b[0mpoints\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscatter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mswarm_data\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcat_pos\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0ms\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkws\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\matplotlib\\__init__.py\u001b[0m in \u001b[0;36minner\u001b[1;34m(ax, data, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1410\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0minner\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1411\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mdata\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1412\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0mmap\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msanitize_sequence\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1413\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1414\u001b[0m         \u001b[0mbound\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnew_sig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbind\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\matplotlib\\axes\\_axes.py\u001b[0m in \u001b[0;36mscatter\u001b[1;34m(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, edgecolors, plotnonfinite, **kwargs)\u001b[0m\n\u001b[0;32m   4456\u001b[0m                 \u001b[0moffsets\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0moffsets\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4457\u001b[0m                 \u001b[0mtransOffset\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'transform'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtransData\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 4458\u001b[1;33m                 \u001b[0malpha\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0malpha\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   4459\u001b[0m                 )\n\u001b[0;32m   4460\u001b[0m         \u001b[0mcollection\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_transform\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmtransforms\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mIdentityTransform\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\matplotlib\\collections.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, paths, sizes, **kwargs)\u001b[0m\n\u001b[0;32m   1010\u001b[0m         \"\"\"\n\u001b[0;32m   1011\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1012\u001b[1;33m         \u001b[0msuper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1013\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_paths\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpaths\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1014\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_sizes\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msizes\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\matplotlib\\collections.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, edgecolors, facecolors, linewidths, linestyles, capstyle, joinstyle, antialiaseds, offsets, transOffset, norm, cmap, pickradius, hatch, urls, zorder, **kwargs)\u001b[0m\n\u001b[0;32m    215\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    216\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_path_effects\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 217\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    218\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_paths\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    219\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\matplotlib\\artist.py\u001b[0m in \u001b[0;36mupdate\u001b[1;34m(self, props)\u001b[0m\n\u001b[0;32m   1064\u001b[0m                         raise AttributeError(f\"{type(self).__name__!r} object \"\n\u001b[0;32m   1065\u001b[0m                                              f\"has no property {k!r}\")\n\u001b[1;32m-> 1066\u001b[1;33m                     \u001b[0mret\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mv\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1067\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mret\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1068\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpchanged\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\matplotlib\\collections.py\u001b[0m in \u001b[0;36mset_alpha\u001b[1;34m(self, alpha)\u001b[0m\n\u001b[0;32m    831\u001b[0m             \u001b[0msupported\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    832\u001b[0m         \"\"\"\n\u001b[1;32m--> 833\u001b[1;33m         \u001b[0martist\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mArtist\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_set_alpha_for_array\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    834\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_set_facecolor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_original_facecolor\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    835\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_set_edgecolor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_original_edgecolor\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\melis\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\matplotlib\\artist.py\u001b[0m in \u001b[0;36m_set_alpha_for_array\u001b[1;34m(self, alpha)\u001b[0m\n\u001b[0;32m    993\u001b[0m         \u001b[0malpha\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0malpha\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    994\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m \u001b[1;33m<=\u001b[0m \u001b[0malpha\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0malpha\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m<=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 995\u001b[1;33m             raise ValueError('alpha must be between 0 and 1, inclusive, '\n\u001b[0m\u001b[0;32m    996\u001b[0m                              f'but min is {alpha.min()}, max is {alpha.max()}')\n\u001b[0;32m    997\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_alpha\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0malpha\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: alpha must be between 0 and 1, inclusive, but min is 0.1, max is 2.5"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAANsElEQVR4nO3cf6zdd13H8eeLdoNkTIb2Cktb2IjFUYnJxk2dWaKLzKTbHy0JhLQJwsig/ppiJCZVzDDzHwYJJsTqqLrwI7pRpoGrdmlURkiMXXoH21jbDC9VbOt0l7EMl+lm9e0f59QcLvfufu89397bez/PR3LT8+Nz73l/9u2ePff8SlUhSVr/XrbaA0iSVobBl6RGGHxJaoTBl6RGGHxJaoTBl6RGLBr8JPckeSrJ4wtcnySfSDKT5LEk1/U/piRpXF3u4X8K2PkS198MbBt+7QP+cPyxJEl9WzT4VfUV4DsvsWQ38JkaOApckeTKvgaUJPVjYw8/YzNweuT8meFlT85dmGQfg98CuOyyy95yzTXX9HDzktSOhx9++NtVNbGc7+0j+J1V1UHgIMDk5GRNT0+v5M1L0pqX5FvL/d4+XqVzFtg6cn7L8DJJ0kWkj+BPAe8evlrneuDZqvq+h3MkSatr0Yd0ktwL3AhsSnIG+DBwCUBV3Q0cBm4BZoDngfdeqGElScu3aPCrau8i1xfwy71NJEm6IHynrSQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1wuBLUiMMviQ1olPwk+xM8kSSmST757n+dUkeTPK1JI8luaX/USVJ41g0+Ek2AAeAm4HtwN4k2+cs+23gUFVdC+wB/qDvQSVJ4+lyD38HMFNVp6rqReA+YPecNQX8wPD0q4B/7W9ESVIfugR/M3B65PyZ4WWjfgd4V5IzwGHgV+b7QUn2JZlOMj07O7uMcSVJy9XXk7Z7gU9V1RbgFuCzSb7vZ1fVwaqarKrJiYmJnm5aktRFl+CfBbaOnN8yvGzUbcAhgKr6B+AVwKY+BpQk9aNL8I8B25JcneRSBk/KTs1Z8y/AWwGSvIlB8H3MRpIuIosGv6rOAbcDR4CTDF6NczzJnUl2DZd9EHh/kkeBe4Fbq6ou1NCSpKXb2GVRVR1m8GTs6GV3jJw+AdzQ72iSpD75TltJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGGHxJaoTBl6RGdAp+kp1Jnkgyk2T/AmvemeREkuNJ/qzfMSVJ49q42IIkG4ADwM8CZ4BjSaaq6sTImm3AbwI3VNUzSX74Qg0sSVqeLvfwdwAzVXWqql4E7gN2z1nzfuBAVT0DUFVP9TumJGlcXYK/GTg9cv7M8LJRbwTemOTvkxxNsnO+H5RkX5LpJNOzs7PLm1iStCx9PWm7EdgG3AjsBf4oyRVzF1XVwaqarKrJiYmJnm5aktRFl+CfBbaOnN8yvGzUGWCqqv67qv4J+AaDfwAkSReJLsE/BmxLcnWSS4E9wNScNV9gcO+eJJsYPMRzqr8xJUnjWjT4VXUOuB04ApwEDlXV8SR3Jtk1XHYEeDrJCeBB4Deq6ukLNbQkaelSVatyw5OTkzU9Pb0qty1Ja1WSh6tqcjnf6zttJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRBl+SGmHwJakRnYKfZGeSJ5LMJNn/EuvenqSSTPY3oiSpD4sGP8kG4ABwM7Ad2Jtk+zzrLgc+ADzU95CSpPF1uYe/A5ipqlNV9SJwH7B7nnW/C9wF/FeP80mSetIl+JuB0yPnzwwv+39JrgO2VtVfv9QPSrIvyXSS6dnZ2SUPK0lavrGftE3yMuDjwAcXW1tVB6tqsqomJyYmxr1pSdISdAn+WWDryPktw8vOuxx4M/DlJP8MXA9M+cStJF1cugT/GLAtydVJLgX2AFPnr6yqZ6tqU1VdVVVXAUeBXVU1fUEmliQty6LBr6pzwO3AEeAkcKiqjie5M8muCz2gJKkfG7ssqqrDwOE5l92xwNobxx9LktQ332krSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUCIMvSY0w+JLUiE7BT7IzyRNJZpLsn+f6X09yIsljSf4uyev7H1WSNI5Fg59kA3AAuBnYDuxNsn3Osq8Bk1X148D9wEf7HlSSNJ4u9/B3ADNVdaqqXgTuA3aPLqiqB6vq+eHZo8CWfseUJI2rS/A3A6dHzp8ZXraQ24AH5rsiyb4k00mmZ2dnu08pSRpbr0/aJnkXMAl8bL7rq+pgVU1W1eTExESfNy1JWsTGDmvOAltHzm8ZXvY9ktwEfAj46ap6oZ/xJEl96XIP/xiwLcnVSS4F9gBTowuSXAt8EthVVU/1P6YkaVyLBr+qzgG3A0eAk8Chqjqe5M4ku4bLPga8Evh8kkeSTC3w4yRJq6TLQzpU1WHg8JzL7hg5fVPPc0mSeuY7bSWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEQZfkhph8CWpEZ2Cn2RnkieSzCTZP8/1L0/yueH1DyW5qvdJJUljWTT4STYAB4Cbge3A3iTb5yy7DXimqn4E+D3grr4HlSSNp8s9/B3ATFWdqqoXgfuA3XPW7AY+PTx9P/DWJOlvTEnSuDZ2WLMZOD1y/gzwEwutqapzSZ4Ffgj49uiiJPuAfcOzLyR5fDlDrxGbmLP/dWY972897w3c31r3o8v9xi7B701VHQQOAiSZrqrJlbz9leT+1q71vDdwf2tdkunlfm+Xh3TOAltHzm8ZXjbvmiQbgVcBTy93KElS/7oE/xiwLcnVSS4F9gBTc9ZMAe8Znn4H8KWqqv7GlCSNa9GHdIaPyd8OHAE2APdU1fEkdwLTVTUF/Anw2SQzwHcY/KOwmINjzL0WuL+1az3vDdzfWrfs/cU74pLUBt9pK0mNMPiS1IgVC36SH0zyN0n+cfjnqxdY9z9JHhl+zX1y+KKznj92osPebk0yO3K83rcacy5XknuSPLXQ+0Ey8Inh/h9Lct1Kz7hcHfZ2Y5JnR47dHSs94ziSbE3yYJITSY4n+cA8a9by8euyv6Ufw6pakS/go8D+4en9wF0LrHtupWbqYU8bgG8CbwAuBR4Fts9Z80vA3cPTe4DPrfbcPe7tVuD3V3vWMfb4U8B1wOMLXH8L8AAQ4HrgodWeuce93Qj81WrPOcb+rgSuG56+HPjGPH8/1/Lx67K/JR/DlXxIZ/TjFz4NvG0Fb/tCWc8fO9Flb2taVX2FwavKFrIb+EwNHAWuSHLlykw3ng57W9Oq6smq+urw9H8AJxm843/UWj5+Xfa3ZCsZ/NdU1ZPD0/8GvGaBda9IMp3kaJK3rcxoyzbfx07MPSjf87ETwPmPnbjYddkbwNuHvy7fn2TrPNevZV3/G6xVP5nk0SQPJPmx1R5muYYPk14LPDTnqnVx/F5if7DEY9jrRysk+VvgtfNc9aHRM1VVSRZ6Pejrq+pskjcAX0ry9ar6Zp9zqjd/CdxbVS8k+XkGv8n8zCrPpG6+yuD/teeS3AJ8Adi2uiMtXZJXAn8O/FpVfXe15+nbIvtb8jHs9R5+Vd1UVW+e5+uLwL+f/3Vq+OdTC/yMs8M/TwFfZvAv28VqPX/sxKJ7q6qnq+qF4dk/Bt6yQrOtlC7Hd02qqu9W1XPD04eBS5JsWuWxliTJJQxi+KdV9RfzLFnTx2+x/S3nGK7kQzqjH7/wHuCLcxckeXWSlw9PbwJuAE6s2IRLt54/dmLRvc15PHQXg8cZ15Mp4N3DV3tcDzw78rDkmpbkteefS0qyg0EL1sIdEWDwChwG7/A/WVUfX2DZmj1+Xfa3nGO4kp+W+RHgUJLbgG8B7wRIMgn8QlW9D3gT8Mkk/8tg+I9U1UUb/LpwHzux6jru7VeT7ALOMdjbras28DIkuZfBKx02JTkDfBi4BKCq7gYOM3ilxwzwPPDe1Zl06Trs7R3ALyY5B/wnsGeN3BE57wbg54CvJ3lkeNlvAa+DtX/86La/JR9DP1pBkhrhO20lqREGX5IaYfAlqREGX5IaYfAlqREGX5IaYfAlqRH/B+9wpv4kv6IhAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import numpy as np\n",
    "df = sns.load_dataset(\"iris\")\n",
    "alpha_array = df[\"petal_width\"] # alpha values from petal width column\n",
    "sns.swarmplot(data=df, x=\"species\", y=\"petal_length\", hue=\"species\", alpha=alpha_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      0.2\n",
       "1      0.2\n",
       "2      0.2\n",
       "3      0.2\n",
       "4      0.2\n",
       "      ... \n",
       "145    2.3\n",
       "146    1.9\n",
       "147    2.0\n",
       "148    2.3\n",
       "149    1.8\n",
       "Name: petal_width, Length: 150, dtype: float64"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alpha_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip freeze>requirements.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv('requirements.txt', delimiter='\\t', header = None)\n",
    "df[0].str.split('==', expand =True).rename(columns = {0:'Library', 1:'Version'}).to_csv('python_libraries.csv', index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.3"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}