{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# Setting matplotlib backend for inline plots\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# Importing necessary packages\n",
"import os\n",
"import pandas as pd\n",
"import numpy as np\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.ticker as ticker\n",
"import pylab\n",
"\n",
"from scipy import stats\n",
"from scipy.cluster import hierarchy as hc"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# Switching directory to personal folder with data\n",
"os.getcwd()\n",
"os.chdir('Path/To/Data')"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Index(['Gene', 'Majority protein IDs', 'UnA 3K', 'UnA 5.4K', 'UnA 12.2K',\n",
" 'UnA 24K', 'UnA 78.4K', 'UnA 110K', 'UnA 195.5K', 'Gene',\n",
" 'Majority protein IDs', 'UnB 3K', 'UnB 5.4K', 'UnB 12.2K', 'UnB 24K',\n",
" 'UnB 78.4K', 'UnB 110K', 'UnB 195.5K', 'Gene', 'Majority protein IDs',\n",
" 'UnC 3K', 'UnC 5.4K', 'UnC 12.2K', 'UnC 24K', 'UnC 78.4K', 'UnC 110K',\n",
" 'UnC 195.5K', 'Gene', 'Majority protein IDs', 'IndA 3K', 'IndA 5.4K',\n",
" 'IndA 12.2K', 'IndA 24K', 'IndA 78.4K', 'IndA 110K', 'IndA 195.5K',\n",
" 'Gene', 'Majority protein IDs', 'IndB 3K', 'IndB 5.4K', 'IndB 12.2K',\n",
" 'IndB 24K', 'IndB 78.4K', 'IndB 110K', 'IndB 195.5K', 'Gene',\n",
" 'Majority protein IDs', 'IndC 3K', 'IndC 5.4K', 'IndC 12.2K',\n",
" 'IndC 24K', 'IndC 78.4K', 'IndC 110K', 'IndC 195.5K'],\n",
" dtype='object')\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\Aaron Oom\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:25: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
"of pandas will change to not sort by default.\n",
"\n",
"To accept the future behavior, pass 'sort=False'.\n",
"\n",
"To retain the current behavior and silence the warning, pass 'sort=True'.\n",
"\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" vertical-align: top;\n",
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" text-align: right;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Gene</th>\n",
" <th>Majority protein IDs</th>\n",
" <th>UnA 3K</th>\n",
" <th>UnA 5.4K</th>\n",
" <th>UnA 12.2K</th>\n",
" <th>UnA 24K</th>\n",
" <th>UnA 78.4K</th>\n",
" <th>UnA 110K</th>\n",
" <th>UnA 195.5K</th>\n",
" <th>Gene</th>\n",
" <th>...</th>\n",
" <th>IndB 195.5K</th>\n",
" <th>Gene</th>\n",
" <th>Majority protein IDs</th>\n",
" <th>IndC 3K</th>\n",
" <th>IndC 5.4K</th>\n",
" <th>IndC 12.2K</th>\n",
" <th>IndC 24K</th>\n",
" <th>IndC 78.4K</th>\n",
" <th>IndC 110K</th>\n",
" <th>IndC 195.5K</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>A0A024RBG1</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>A0A024RBG1</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0A0B4J2F0</th>\n",
" <td>PIOS1</td>\n",
" <td>Protein PIGBOS1</td>\n",
" <td>0.386754</td>\n",
" <td>0.264743</td>\n",
" <td>0.247293</td>\n",
" <td>0.083600</td>\n",
" <td>0.013837</td>\n",
" <td>0.002485</td>\n",
" <td>0.001289</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>PIOS1</td>\n",
" <td>Protein PIGBOS1</td>\n",
" <td>0.207509</td>\n",
" <td>0.387909</td>\n",
" <td>0.293192</td>\n",
" <td>0.069349</td>\n",
" <td>0.037088</td>\n",
" <td>0.002817</td>\n",
" <td>0.002135</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0A0C4DH27</th>\n",
" <td>TRGV8</td>\n",
" <td>T cell receptor gamma variable 8</td>\n",
" <td>0.083431</td>\n",
" <td>0.133178</td>\n",
" <td>0.189993</td>\n",
" <td>0.203442</td>\n",
" <td>0.264341</td>\n",
" <td>0.086057</td>\n",
" <td>0.039557</td>\n",
" <td>TRGV8</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0A0U1RQE8</th>\n",
" <td>GLYLB</td>\n",
" <td>Putative glycine N-acyltransferase-like protei...</td>\n",
" <td>0.351803</td>\n",
" <td>0.359586</td>\n",
" <td>0.182279</td>\n",
" <td>0.075301</td>\n",
" <td>0.013139</td>\n",
" <td>0.010804</td>\n",
" <td>0.007090</td>\n",
" <td>GLYLB</td>\n",
" <td>...</td>\n",
" <td>0.020849</td>\n",
" <td>GLYLB</td>\n",
" <td>Putative glycine N-acyltransferase-like protei...</td>\n",
" <td>0.340440</td>\n",
" <td>0.333577</td>\n",
" <td>0.188079</td>\n",
" <td>0.068369</td>\n",
" <td>0.014223</td>\n",
" <td>0.025619</td>\n",
" <td>0.029693</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0A0U1RRE5</th>\n",
" <td>NBDY</td>\n",
" <td>Negative regulator of P-body association</td>\n",
" <td>0.073332</td>\n",
" <td>0.081789</td>\n",
" <td>0.100556</td>\n",
" <td>0.114620</td>\n",
" <td>0.142085</td>\n",
" <td>0.235966</td>\n",
" <td>0.251652</td>\n",
" <td>NBDY</td>\n",
" <td>...</td>\n",
" <td>0.344353</td>\n",
" <td>NBDY</td>\n",
" <td>Negative regulator of P-body association</td>\n",
" <td>0.075298</td>\n",
" <td>0.054765</td>\n",
" <td>0.115502</td>\n",
" <td>0.126762</td>\n",
" <td>0.142639</td>\n",
" <td>0.266066</td>\n",
" <td>0.218968</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0A0U1RRL7</th>\n",
" <td>MMPOS</td>\n",
" <td>Protein MMP24OS</td>\n",
" <td>0.384507</td>\n",
" <td>0.287038</td>\n",
" <td>0.125767</td>\n",
" <td>0.068543</td>\n",
" <td>0.049129</td>\n",
" <td>0.039388</td>\n",
" <td>0.045628</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0A1B0GTK4</th>\n",
" <td>F237A</td>\n",
" <td>Protein FAM237A</td>\n",
" <td>0.075380</td>\n",
" <td>0.086213</td>\n",
" <td>0.105560</td>\n",
" <td>0.116742</td>\n",
" <td>0.139426</td>\n",
" <td>0.234531</td>\n",
" <td>0.242148</td>\n",
" <td>F237A</td>\n",
" <td>...</td>\n",
" <td>0.268559</td>\n",
" <td>F237A</td>\n",
" <td>Protein FAM237A</td>\n",
" <td>0.092061</td>\n",
" <td>0.091892</td>\n",
" <td>0.127865</td>\n",
" <td>0.127917</td>\n",
" <td>0.132667</td>\n",
" <td>0.208240</td>\n",
" <td>0.219358</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0A1B0GTU1</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.084351</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0A1B0GUA9</th>\n",
" <td>CM046</td>\n",
" <td>Uncharacterized protein C13orf46</td>\n",
" <td>0.367451</td>\n",
" <td>0.356274</td>\n",
" <td>0.183138</td>\n",
" <td>0.075645</td>\n",
" <td>0.004515</td>\n",
" <td>0.008142</td>\n",
" <td>0.004835</td>\n",
" <td>CM046</td>\n",
" <td>...</td>\n",
" <td>0.006528</td>\n",
" <td>CM046</td>\n",
" <td>Uncharacterized protein C13orf46</td>\n",
" <td>0.382146</td>\n",
" <td>0.389012</td>\n",
" <td>0.171493</td>\n",
" <td>0.040769</td>\n",
" <td>0.009833</td>\n",
" <td>0.002769</td>\n",
" <td>0.003978</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0A1B0GUY1</th>\n",
" <td>MRCOL</td>\n",
" <td>MARCO-like protein</td>\n",
" <td>0.384719</td>\n",
" <td>0.343920</td>\n",
" <td>0.172957</td>\n",
" <td>0.059505</td>\n",
" <td>0.006153</td>\n",
" <td>0.013358</td>\n",
" <td>0.019388</td>\n",
" <td>MRCOL</td>\n",
" <td>...</td>\n",
" <td>0.018656</td>\n",
" <td>MRCOL</td>\n",
" <td>MARCO-like protein</td>\n",
" <td>0.414379</td>\n",
" <td>0.373608</td>\n",
" <td>0.147963</td>\n",
" <td>0.044889</td>\n",
" <td>0.003822</td>\n",
" <td>0.008759</td>\n",
" <td>0.006580</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0A1B0GVM5</th>\n",
" <td>ETDC</td>\n",
" <td>Embryonic testis differentiation protein homol...</td>\n",
" <td>0.343258</td>\n",
" <td>0.329894</td>\n",
" <td>0.193873</td>\n",
" <td>0.079998</td>\n",
" <td>0.014089</td>\n",
" <td>0.021732</td>\n",
" <td>0.017156</td>\n",
" <td>ETDC</td>\n",
" <td>...</td>\n",
" <td>0.016522</td>\n",
" <td>ETDC</td>\n",
" <td>Embryonic testis differentiation protein homol...</td>\n",
" <td>0.358349</td>\n",
" <td>0.336262</td>\n",
" <td>0.181888</td>\n",
" <td>0.060905</td>\n",
" <td>0.025495</td>\n",
" <td>0.020109</td>\n",
" <td>0.016991</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0AVF1</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>IFT56</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0AVI4</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>TM129</td>\n",
" <td>...</td>\n",
" <td>0.033770</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0AVT1</th>\n",
" <td>UBA6</td>\n",
" <td>Ubiquitin-like modifier-activating enzyme 6</td>\n",
" <td>0.119624</td>\n",
" <td>0.099881</td>\n",
" <td>0.154572</td>\n",
" <td>0.145452</td>\n",
" <td>0.124079</td>\n",
" <td>0.153886</td>\n",
" <td>0.202506</td>\n",
" <td>UBA6</td>\n",
" <td>...</td>\n",
" <td>0.252806</td>\n",
" <td>UBA6</td>\n",
" <td>Ubiquitin-like modifier-activating enzyme 6</td>\n",
" <td>0.131825</td>\n",
" <td>0.133185</td>\n",
" <td>0.152595</td>\n",
" <td>0.163429</td>\n",
" <td>0.115206</td>\n",
" <td>0.133834</td>\n",
" <td>0.169926</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0FGR8</th>\n",
" <td>ESYT2</td>\n",
" <td>Extended synaptotagmin-2</td>\n",
" <td>0.078402</td>\n",
" <td>0.129315</td>\n",
" <td>0.198720</td>\n",
" <td>0.231605</td>\n",
" <td>0.255633</td>\n",
" <td>0.067879</td>\n",
" <td>0.038446</td>\n",
" <td>ESYT2</td>\n",
" <td>...</td>\n",
" <td>0.027444</td>\n",
" <td>ESYT2</td>\n",
" <td>Extended synaptotagmin-2</td>\n",
" <td>0.070045</td>\n",
" <td>0.119380</td>\n",
" <td>0.190582</td>\n",
" <td>0.221015</td>\n",
" <td>0.266680</td>\n",
" <td>0.106611</td>\n",
" <td>0.025687</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0FGR9</th>\n",
" <td>ESYT3</td>\n",
" <td>Extended synaptotagmin-3</td>\n",
" <td>0.077039</td>\n",
" <td>0.068725</td>\n",
" <td>0.094741</td>\n",
" <td>0.327566</td>\n",
" <td>0.075990</td>\n",
" <td>0.215653</td>\n",
" <td>0.140286</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0JLT2</th>\n",
" <td>MED19</td>\n",
" <td>Mediator of RNA polymerase II transcription su...</td>\n",
" <td>0.060415</td>\n",
" <td>0.058129</td>\n",
" <td>0.080881</td>\n",
" <td>0.128313</td>\n",
" <td>0.264531</td>\n",
" <td>0.215843</td>\n",
" <td>0.191888</td>\n",
" <td>MED19</td>\n",
" <td>...</td>\n",
" <td>0.182690</td>\n",
" <td>MED19</td>\n",
" <td>Mediator of RNA polymerase II transcription su...</td>\n",
" <td>0.062920</td>\n",
" <td>0.057069</td>\n",
" <td>0.072013</td>\n",
" <td>0.085298</td>\n",
" <td>0.221117</td>\n",
" <td>0.302311</td>\n",
" <td>0.199272</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0JNW5</th>\n",
" <td>UH1BL</td>\n",
" <td>UHRF1-binding protein 1-like</td>\n",
" <td>0.120787</td>\n",
" <td>0.096576</td>\n",
" <td>0.150369</td>\n",
" <td>0.136870</td>\n",
" <td>0.133891</td>\n",
" <td>0.127651</td>\n",
" <td>0.233856</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.234088</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0MZ66</th>\n",
" <td>SHOT1</td>\n",
" <td>Shootin-1</td>\n",
" <td>0.110571</td>\n",
" <td>0.135468</td>\n",
" <td>0.151279</td>\n",
" <td>0.145021</td>\n",
" <td>0.082983</td>\n",
" <td>0.158526</td>\n",
" <td>0.216152</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.241972</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0PJW6</th>\n",
" <td>TM223</td>\n",
" <td>Transmembrane protein 223</td>\n",
" <td>0.356047</td>\n",
" <td>0.368964</td>\n",
" <td>0.182758</td>\n",
" <td>0.077175</td>\n",
" <td>0.006682</td>\n",
" <td>0.006286</td>\n",
" <td>0.002089</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.026288</td>\n",
" <td>TM223</td>\n",
" <td>Transmembrane protein 223</td>\n",
" <td>0.321394</td>\n",
" <td>0.306489</td>\n",
" <td>0.153720</td>\n",
" <td>0.059980</td>\n",
" <td>0.065930</td>\n",
" <td>0.055452</td>\n",
" <td>0.037035</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0PJZ3</th>\n",
" <td>GXLT2</td>\n",
" <td>Glucoside xylosyltransferase 2</td>\n",
" <td>0.097822</td>\n",
" <td>0.148299</td>\n",
" <td>0.255875</td>\n",
" <td>0.218548</td>\n",
" <td>0.164799</td>\n",
" <td>0.068219</td>\n",
" <td>0.046439</td>\n",
" <td>GXLT2</td>\n",
" <td>...</td>\n",
" <td>0.063833</td>\n",
" <td>GXLT2</td>\n",
" <td>Glucoside xylosyltransferase 2</td>\n",
" <td>0.070660</td>\n",
" <td>0.129076</td>\n",
" <td>0.219619</td>\n",
" <td>0.202528</td>\n",
" <td>0.187010</td>\n",
" <td>0.137688</td>\n",
" <td>0.053418</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A0PK00</th>\n",
" <td>T120B</td>\n",
" <td>Transmembrane protein 120B</td>\n",
" <td>0.086141</td>\n",
" <td>0.109692</td>\n",
" <td>0.188796</td>\n",
" <td>0.253237</td>\n",
" <td>0.284401</td>\n",
" <td>0.036423</td>\n",
" <td>0.041310</td>\n",
" <td>T120B</td>\n",
" <td>...</td>\n",
" <td>0.107532</td>\n",
" <td>T120B</td>\n",
" <td>Transmembrane protein 120B</td>\n",
" <td>0.042091</td>\n",
" <td>0.105417</td>\n",
" <td>0.171556</td>\n",
" <td>0.267288</td>\n",
" <td>0.270983</td>\n",
" <td>0.124625</td>\n",
" <td>0.018040</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A1A4S6</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.075888</td>\n",
" <td>RHG10</td>\n",
" <td>Rho GTPase-activating protein 10</td>\n",
" <td>0.087440</td>\n",
" <td>0.122347</td>\n",
" <td>0.169665</td>\n",
" <td>0.177494</td>\n",
" <td>0.158454</td>\n",
" <td>0.175035</td>\n",
" <td>0.109565</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A1A5C7</th>\n",
" <td>S22AN</td>\n",
" <td>Solute carrier family 22 member 23</td>\n",
" <td>0.105667</td>\n",
" <td>0.156259</td>\n",
" <td>0.199790</td>\n",
" <td>0.209671</td>\n",
" <td>0.206345</td>\n",
" <td>0.068885</td>\n",
" <td>0.053383</td>\n",
" <td>S22AN</td>\n",
" <td>...</td>\n",
" <td>0.043826</td>\n",
" <td>S22AN</td>\n",
" <td>Solute carrier family 22 member 23</td>\n",
" <td>0.063654</td>\n",
" <td>0.113646</td>\n",
" <td>0.226196</td>\n",
" <td>0.231375</td>\n",
" <td>0.207110</td>\n",
" <td>0.101630</td>\n",
" <td>0.056390</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A1KXE4</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A1L020</th>\n",
" <td>MEX3A</td>\n",
" <td>RNA-binding protein MEX3A</td>\n",
" <td>0.061096</td>\n",
" <td>0.070667</td>\n",
" <td>0.086160</td>\n",
" <td>0.117102</td>\n",
" <td>0.239882</td>\n",
" <td>0.232738</td>\n",
" <td>0.192355</td>\n",
" <td>MEX3A</td>\n",
" <td>...</td>\n",
" <td>0.155836</td>\n",
" <td>MEX3A</td>\n",
" <td>RNA-binding protein MEX3A</td>\n",
" <td>0.073822</td>\n",
" <td>0.073760</td>\n",
" <td>0.091595</td>\n",
" <td>0.097758</td>\n",
" <td>0.208972</td>\n",
" <td>0.295842</td>\n",
" <td>0.158251</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A1L0T0</th>\n",
" <td>ILVBL</td>\n",
" <td>Acetolactate synthase-like protein</td>\n",
" <td>0.074063</td>\n",
" <td>0.112718</td>\n",
" <td>0.176322</td>\n",
" <td>0.234312</td>\n",
" <td>0.271491</td>\n",
" <td>0.085603</td>\n",
" <td>0.045492</td>\n",
" <td>ILVBL</td>\n",
" <td>...</td>\n",
" <td>0.079348</td>\n",
" <td>ILVBL</td>\n",
" <td>Acetolactate synthase-like protein</td>\n",
" <td>0.058444</td>\n",
" <td>0.090164</td>\n",
" <td>0.170021</td>\n",
" <td>0.234525</td>\n",
" <td>0.247323</td>\n",
" <td>0.150613</td>\n",
" <td>0.048911</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A1L188</th>\n",
" <td>NDUF8</td>\n",
" <td>NADH dehydrogenase [ubiquinone] 1 alpha subcom...</td>\n",
" <td>0.348854</td>\n",
" <td>0.349491</td>\n",
" <td>0.163401</td>\n",
" <td>0.088477</td>\n",
" <td>0.012218</td>\n",
" <td>0.024652</td>\n",
" <td>0.012907</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NDUF8</td>\n",
" <td>NADH dehydrogenase [ubiquinone] 1 alpha subcom...</td>\n",
" <td>0.229389</td>\n",
" <td>0.271859</td>\n",
" <td>0.138330</td>\n",
" <td>0.090963</td>\n",
" <td>0.071952</td>\n",
" <td>0.044681</td>\n",
" <td>0.152827</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A1L190</th>\n",
" <td>SYCE3</td>\n",
" <td>Synaptonemal complex central element protein 3</td>\n",
" <td>0.349688</td>\n",
" <td>0.321512</td>\n",
" <td>0.198460</td>\n",
" <td>0.079823</td>\n",
" <td>0.012268</td>\n",
" <td>0.023300</td>\n",
" <td>0.014950</td>\n",
" <td>SYCE3</td>\n",
" <td>...</td>\n",
" <td>0.011967</td>\n",
" <td>SYCE3</td>\n",
" <td>Synaptonemal complex central element protein 3</td>\n",
" <td>0.372089</td>\n",
" <td>0.350526</td>\n",
" <td>0.194307</td>\n",
" <td>0.052867</td>\n",
" <td>0.011999</td>\n",
" <td>0.008659</td>\n",
" <td>0.009552</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A1X283</th>\n",
" <td>SPD2B</td>\n",
" <td>SH3 and PX domain-containing protein 2B</td>\n",
" <td>0.093903</td>\n",
" <td>0.093741</td>\n",
" <td>0.128843</td>\n",
" <td>0.135656</td>\n",
" <td>0.193406</td>\n",
" <td>0.173866</td>\n",
" <td>0.180585</td>\n",
" <td>SPD2B</td>\n",
" <td>...</td>\n",
" <td>0.169103</td>\n",
" <td>SPD2B</td>\n",
" <td>SH3 and PX domain-containing protein 2B</td>\n",
" <td>0.151245</td>\n",
" <td>0.123565</td>\n",
" <td>0.118126</td>\n",
" <td>0.148542</td>\n",
" <td>0.145573</td>\n",
" <td>0.188251</td>\n",
" <td>0.124697</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6I9</th>\n",
" <td>TX264</td>\n",
" <td>Testis-expressed protein 264</td>\n",
" <td>0.074696</td>\n",
" <td>0.111008</td>\n",
" <td>0.176836</td>\n",
" <td>0.235324</td>\n",
" <td>0.301435</td>\n",
" <td>0.070558</td>\n",
" <td>0.030144</td>\n",
" <td>TX264</td>\n",
" <td>...</td>\n",
" <td>0.035318</td>\n",
" <td>TX264</td>\n",
" <td>Testis-expressed protein 264</td>\n",
" <td>0.054526</td>\n",
" <td>0.088798</td>\n",
" <td>0.168927</td>\n",
" <td>0.229107</td>\n",
" <td>0.282739</td>\n",
" <td>0.138288</td>\n",
" <td>0.037616</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6J0</th>\n",
" <td>CABIN</td>\n",
" <td>Calcineurin-binding protein cabin-1</td>\n",
" <td>0.132517</td>\n",
" <td>0.100571</td>\n",
" <td>0.150593</td>\n",
" <td>0.121133</td>\n",
" <td>0.187341</td>\n",
" <td>0.173157</td>\n",
" <td>0.134688</td>\n",
" <td>CABIN</td>\n",
" <td>...</td>\n",
" <td>0.198172</td>\n",
" <td>CABIN</td>\n",
" <td>Calcineurin-binding protein cabin-1</td>\n",
" <td>0.152163</td>\n",
" <td>0.190993</td>\n",
" <td>0.157692</td>\n",
" <td>0.118196</td>\n",
" <td>0.157759</td>\n",
" <td>0.125805</td>\n",
" <td>0.097392</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6J9</th>\n",
" <td>TAF6L</td>\n",
" <td>TAF6-like RNA polymerase II p300/CBP-associate...</td>\n",
" <td>0.111783</td>\n",
" <td>0.079428</td>\n",
" <td>0.104269</td>\n",
" <td>0.140407</td>\n",
" <td>0.150898</td>\n",
" <td>0.188078</td>\n",
" <td>0.225137</td>\n",
" <td>TAF6L</td>\n",
" <td>...</td>\n",
" <td>0.250280</td>\n",
" <td>TAF6L</td>\n",
" <td>TAF6-like RNA polymerase II p300/CBP-associate...</td>\n",
" <td>0.142901</td>\n",
" <td>0.127513</td>\n",
" <td>0.146141</td>\n",
" <td>0.144680</td>\n",
" <td>0.129799</td>\n",
" <td>0.158230</td>\n",
" <td>0.150736</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6K0</th>\n",
" <td>CEPT1</td>\n",
" <td>Choline/ethanolaminephosphotransferase 1</td>\n",
" <td>0.085285</td>\n",
" <td>0.123105</td>\n",
" <td>0.181051</td>\n",
" <td>0.212775</td>\n",
" <td>0.309378</td>\n",
" <td>0.065292</td>\n",
" <td>0.023115</td>\n",
" <td>CEPT1</td>\n",
" <td>...</td>\n",
" <td>0.017688</td>\n",
" <td>CEPT1</td>\n",
" <td>Choline/ethanolaminephosphotransferase 1</td>\n",
" <td>0.077624</td>\n",
" <td>0.127026</td>\n",
" <td>0.155484</td>\n",
" <td>0.203143</td>\n",
" <td>0.304950</td>\n",
" <td>0.112250</td>\n",
" <td>0.019523</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6K1</th>\n",
" <td>DNM3A</td>\n",
" <td>DNA (cytosine-5)-methyltransferase 3A</td>\n",
" <td>0.146604</td>\n",
" <td>0.122185</td>\n",
" <td>0.147580</td>\n",
" <td>0.131605</td>\n",
" <td>0.143893</td>\n",
" <td>0.105826</td>\n",
" <td>0.202308</td>\n",
" <td>DNM3A</td>\n",
" <td>...</td>\n",
" <td>0.164258</td>\n",
" <td>DNM3A</td>\n",
" <td>DNA (cytosine-5)-methyltransferase 3A</td>\n",
" <td>0.180057</td>\n",
" <td>0.183066</td>\n",
" <td>0.142738</td>\n",
" <td>0.120800</td>\n",
" <td>0.128043</td>\n",
" <td>0.123839</td>\n",
" <td>0.121457</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6K5</th>\n",
" <td>OAS3</td>\n",
" <td>2-5-oligoadenylate synthase 3</td>\n",
" <td>0.056773</td>\n",
" <td>0.059003</td>\n",
" <td>0.079368</td>\n",
" <td>0.115289</td>\n",
" <td>0.232375</td>\n",
" <td>0.265714</td>\n",
" <td>0.191480</td>\n",
" <td>OAS3</td>\n",
" <td>...</td>\n",
" <td>0.193422</td>\n",
" <td>OAS3</td>\n",
" <td>2-5-oligoadenylate synthase 3</td>\n",
" <td>0.086919</td>\n",
" <td>0.071374</td>\n",
" <td>0.085284</td>\n",
" <td>0.098044</td>\n",
" <td>0.176453</td>\n",
" <td>0.257677</td>\n",
" <td>0.224250</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6M1</th>\n",
" <td>IF2B2</td>\n",
" <td>Insulin-like growth factor 2 mRNA-binding prot...</td>\n",
" <td>0.056404</td>\n",
" <td>0.051659</td>\n",
" <td>0.074241</td>\n",
" <td>0.107109</td>\n",
" <td>0.224615</td>\n",
" <td>0.265649</td>\n",
" <td>0.220322</td>\n",
" <td>IF2B2</td>\n",
" <td>...</td>\n",
" <td>0.158287</td>\n",
" <td>IF2B2</td>\n",
" <td>Insulin-like growth factor 2 mRNA-binding prot...</td>\n",
" <td>0.075081</td>\n",
" <td>0.064308</td>\n",
" <td>0.087283</td>\n",
" <td>0.108486</td>\n",
" <td>0.242453</td>\n",
" <td>0.282183</td>\n",
" <td>0.140205</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6M4</th>\n",
" <td>KC1G3</td>\n",
" <td>Casein kinase I isoform gamma-3</td>\n",
" <td>0.087833</td>\n",
" <td>0.120907</td>\n",
" <td>0.187643</td>\n",
" <td>0.231374</td>\n",
" <td>0.218924</td>\n",
" <td>0.089292</td>\n",
" <td>0.064027</td>\n",
" <td>KC1G3</td>\n",
" <td>...</td>\n",
" <td>0.058753</td>\n",
" <td>KC1G3</td>\n",
" <td>Casein kinase I isoform gamma-3</td>\n",
" <td>0.066680</td>\n",
" <td>0.133053</td>\n",
" <td>0.209786</td>\n",
" <td>0.236653</td>\n",
" <td>0.244527</td>\n",
" <td>0.091610</td>\n",
" <td>0.017690</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6M5</th>\n",
" <td>ZNT1</td>\n",
" <td>Zinc transporter 1</td>\n",
" <td>0.086365</td>\n",
" <td>0.158259</td>\n",
" <td>0.221778</td>\n",
" <td>0.236351</td>\n",
" <td>0.213402</td>\n",
" <td>0.055917</td>\n",
" <td>0.027929</td>\n",
" <td>ZNT1</td>\n",
" <td>...</td>\n",
" <td>0.024546</td>\n",
" <td>ZNT1</td>\n",
" <td>Zinc transporter 1</td>\n",
" <td>0.076154</td>\n",
" <td>0.125682</td>\n",
" <td>0.235016</td>\n",
" <td>0.230316</td>\n",
" <td>0.217187</td>\n",
" <td>0.088323</td>\n",
" <td>0.027322</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6M7</th>\n",
" <td>S4A7</td>\n",
" <td>Sodium bicarbonate cotransporter 3</td>\n",
" <td>0.083405</td>\n",
" <td>0.119020</td>\n",
" <td>0.236299</td>\n",
" <td>0.277947</td>\n",
" <td>0.204169</td>\n",
" <td>0.054751</td>\n",
" <td>0.024408</td>\n",
" <td>S4A7</td>\n",
" <td>...</td>\n",
" <td>0.029069</td>\n",
" <td>S4A7</td>\n",
" <td>Sodium bicarbonate cotransporter 3</td>\n",
" <td>0.053211</td>\n",
" <td>0.106271</td>\n",
" <td>0.219871</td>\n",
" <td>0.302801</td>\n",
" <td>0.218080</td>\n",
" <td>0.074980</td>\n",
" <td>0.024786</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6M9</th>\n",
" <td>NDUB9</td>\n",
" <td>NADH dehydrogenase [ubiquinone] 1 beta subcomp...</td>\n",
" <td>0.365391</td>\n",
" <td>0.361834</td>\n",
" <td>0.170359</td>\n",
" <td>0.066818</td>\n",
" <td>0.006994</td>\n",
" <td>0.016731</td>\n",
" <td>0.011873</td>\n",
" <td>NDUB9</td>\n",
" <td>...</td>\n",
" <td>0.005787</td>\n",
" <td>NDUB9</td>\n",
" <td>NADH dehydrogenase [ubiquinone] 1 beta subcomp...</td>\n",
" <td>0.380347</td>\n",
" <td>0.343728</td>\n",
" <td>0.166001</td>\n",
" <td>0.038956</td>\n",
" <td>0.015520</td>\n",
" <td>0.020485</td>\n",
" <td>0.034964</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6N7</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.116402</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6Q9</th>\n",
" <td>NCOA3</td>\n",
" <td>Nuclear receptor coactivator 3</td>\n",
" <td>0.081981</td>\n",
" <td>0.076363</td>\n",
" <td>0.106146</td>\n",
" <td>0.140080</td>\n",
" <td>0.197783</td>\n",
" <td>0.166922</td>\n",
" <td>0.230726</td>\n",
" <td>NCOA3</td>\n",
" <td>...</td>\n",
" <td>0.814847</td>\n",
" <td>NCOA3</td>\n",
" <td>Nuclear receptor coactivator 3</td>\n",
" <td>0.071113</td>\n",
" <td>0.038870</td>\n",
" <td>0.083309</td>\n",
" <td>0.124184</td>\n",
" <td>0.237697</td>\n",
" <td>0.322722</td>\n",
" <td>0.122104</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6R0</th>\n",
" <td>NUMBL</td>\n",
" <td>Numb-like protein</td>\n",
" <td>0.097137</td>\n",
" <td>0.119523</td>\n",
" <td>0.176051</td>\n",
" <td>0.195375</td>\n",
" <td>0.192139</td>\n",
" <td>0.113387</td>\n",
" <td>0.106388</td>\n",
" <td>NUMBL</td>\n",
" <td>...</td>\n",
" <td>0.070209</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6R1</th>\n",
" <td>S4A4</td>\n",
" <td>Electrogenic sodium bicarbonate cotransporter 1</td>\n",
" <td>0.082297</td>\n",
" <td>0.134010</td>\n",
" <td>0.208473</td>\n",
" <td>0.267493</td>\n",
" <td>0.199702</td>\n",
" <td>0.071690</td>\n",
" <td>0.036335</td>\n",
" <td>S4A4</td>\n",
" <td>...</td>\n",
" <td>0.070084</td>\n",
" <td>S4A4</td>\n",
" <td>Electrogenic sodium bicarbonate cotransporter 1</td>\n",
" <td>0.066700</td>\n",
" <td>0.128322</td>\n",
" <td>0.223771</td>\n",
" <td>0.251103</td>\n",
" <td>0.225252</td>\n",
" <td>0.076419</td>\n",
" <td>0.028432</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6R4</th>\n",
" <td>M3K4</td>\n",
" <td>Mitogen-activated protein kinase kinase kinase 4</td>\n",
" <td>0.093702</td>\n",
" <td>0.099861</td>\n",
" <td>0.122071</td>\n",
" <td>0.133248</td>\n",
" <td>0.123755</td>\n",
" <td>0.189835</td>\n",
" <td>0.237528</td>\n",
" <td>M3K4</td>\n",
" <td>...</td>\n",
" <td>0.260281</td>\n",
" <td>M3K4</td>\n",
" <td>Mitogen-activated protein kinase kinase kinase 4</td>\n",
" <td>0.122096</td>\n",
" <td>0.120769</td>\n",
" <td>0.120580</td>\n",
" <td>0.128052</td>\n",
" <td>0.130014</td>\n",
" <td>0.218089</td>\n",
" <td>0.160400</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6R9</th>\n",
" <td>CCD61</td>\n",
" <td>Coiled-coil domain-containing protein 61</td>\n",
" <td>0.246779</td>\n",
" <td>0.235636</td>\n",
" <td>0.132806</td>\n",
" <td>0.079495</td>\n",
" <td>0.057036</td>\n",
" <td>0.122038</td>\n",
" <td>0.126210</td>\n",
" <td>CCD61</td>\n",
" <td>...</td>\n",
" <td>0.272321</td>\n",
" <td>CCD61</td>\n",
" <td>Coiled-coil domain-containing protein 61</td>\n",
" <td>0.112714</td>\n",
" <td>0.094092</td>\n",
" <td>0.105964</td>\n",
" <td>0.086955</td>\n",
" <td>0.142782</td>\n",
" <td>0.207260</td>\n",
" <td>0.250233</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6V7</th>\n",
" <td>DDX49</td>\n",
" <td>Probable ATP-dependent RNA helicase DDX49</td>\n",
" <td>0.073188</td>\n",
" <td>0.059583</td>\n",
" <td>0.106061</td>\n",
" <td>0.123484</td>\n",
" <td>0.183391</td>\n",
" <td>0.248803</td>\n",
" <td>0.205491</td>\n",
" <td>DDX49</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>DDX49</td>\n",
" <td>Probable ATP-dependent RNA helicase DDX49</td>\n",
" <td>0.097887</td>\n",
" <td>0.061444</td>\n",
" <td>0.102793</td>\n",
" <td>0.143611</td>\n",
" <td>0.138208</td>\n",
" <td>0.263283</td>\n",
" <td>0.192774</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6W3</th>\n",
" <td>CAN7</td>\n",
" <td>Calpain-7</td>\n",
" <td>0.077294</td>\n",
" <td>0.079815</td>\n",
" <td>0.172275</td>\n",
" <td>0.194415</td>\n",
" <td>0.155560</td>\n",
" <td>0.140728</td>\n",
" <td>0.179912</td>\n",
" <td>CAN7</td>\n",
" <td>...</td>\n",
" <td>0.234137</td>\n",
" <td>CAN7</td>\n",
" <td>Calpain-7</td>\n",
" <td>0.142266</td>\n",
" <td>0.145495</td>\n",
" <td>0.175466</td>\n",
" <td>0.171828</td>\n",
" <td>0.138733</td>\n",
" <td>0.121924</td>\n",
" <td>0.104288</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6W5</th>\n",
" <td>WASF2</td>\n",
" <td>Wiskott-Aldrich syndrome protein family member 2</td>\n",
" <td>0.103348</td>\n",
" <td>0.109861</td>\n",
" <td>0.134732</td>\n",
" <td>0.162267</td>\n",
" <td>0.189438</td>\n",
" <td>0.155787</td>\n",
" <td>0.144567</td>\n",
" <td>WASF2</td>\n",
" <td>...</td>\n",
" <td>0.149762</td>\n",
" <td>WASF2</td>\n",
" <td>Wiskott-Aldrich syndrome protein family member 2</td>\n",
" <td>0.113479</td>\n",
" <td>0.094836</td>\n",
" <td>0.141683</td>\n",
" <td>0.153561</td>\n",
" <td>0.191846</td>\n",
" <td>0.184499</td>\n",
" <td>0.120096</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6W8</th>\n",
" <td>ICOS</td>\n",
" <td>Inducible T-cell costimulator</td>\n",
" <td>0.101824</td>\n",
" <td>0.144456</td>\n",
" <td>0.196838</td>\n",
" <td>0.233959</td>\n",
" <td>0.209670</td>\n",
" <td>0.072645</td>\n",
" <td>0.040608</td>\n",
" <td>ICOS</td>\n",
" <td>...</td>\n",
" <td>0.087279</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6X1</th>\n",
" <td>SERP1</td>\n",
" <td>Stress-associated endoplasmic reticulum protein 1</td>\n",
" <td>0.079339</td>\n",
" <td>0.120303</td>\n",
" <td>0.189676</td>\n",
" <td>0.223852</td>\n",
" <td>0.242885</td>\n",
" <td>0.090816</td>\n",
" <td>0.053129</td>\n",
" <td>SERP1</td>\n",
" <td>...</td>\n",
" <td>0.109812</td>\n",
" <td>SERP1</td>\n",
" <td>Stress-associated endoplasmic reticulum protein 1</td>\n",
" <td>0.059985</td>\n",
" <td>0.073498</td>\n",
" <td>0.150035</td>\n",
" <td>0.229800</td>\n",
" <td>0.273727</td>\n",
" <td>0.137218</td>\n",
" <td>0.075737</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6X3</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6X4</th>\n",
" <td>F169A</td>\n",
" <td>Soluble lamin-associated protein of 75 kDa</td>\n",
" <td>0.084718</td>\n",
" <td>0.089173</td>\n",
" <td>0.113875</td>\n",
" <td>0.125049</td>\n",
" <td>0.138260</td>\n",
" <td>0.197932</td>\n",
" <td>0.250993</td>\n",
" <td>F169A</td>\n",
" <td>...</td>\n",
" <td>0.251385</td>\n",
" <td>F169A</td>\n",
" <td>Soluble lamin-associated protein of 75 kDa</td>\n",
" <td>0.117515</td>\n",
" <td>0.118488</td>\n",
" <td>0.183081</td>\n",
" <td>0.138668</td>\n",
" <td>0.094291</td>\n",
" <td>0.162414</td>\n",
" <td>0.185543</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6X5</th>\n",
" <td>ENPP4</td>\n",
" <td>Bis(5-adenosyl)-triphosphatase ENPP4</td>\n",
" <td>0.013648</td>\n",
" <td>0.019952</td>\n",
" <td>0.092175</td>\n",
" <td>0.271281</td>\n",
" <td>0.154323</td>\n",
" <td>0.297295</td>\n",
" <td>0.151326</td>\n",
" <td>ENPP4</td>\n",
" <td>...</td>\n",
" <td>0.096920</td>\n",
" <td>ENPP4</td>\n",
" <td>Bis(5-adenosyl)-triphosphatase ENPP4</td>\n",
" <td>0.028242</td>\n",
" <td>0.071005</td>\n",
" <td>0.159491</td>\n",
" <td>0.199364</td>\n",
" <td>0.255284</td>\n",
" <td>0.198540</td>\n",
" <td>0.088074</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6X8</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.133196</td>\n",
" <td>ZHX2</td>\n",
" <td>Zinc fingers and homeoboxes protein 2</td>\n",
" <td>0.239829</td>\n",
" <td>0.179259</td>\n",
" <td>0.126712</td>\n",
" <td>0.091963</td>\n",
" <td>0.170697</td>\n",
" <td>0.092457</td>\n",
" <td>0.099083</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6X9</th>\n",
" <td>MORC2</td>\n",
" <td>MORC family CW-type zinc finger protein 2</td>\n",
" <td>0.132792</td>\n",
" <td>0.082497</td>\n",
" <td>0.114311</td>\n",
" <td>0.115251</td>\n",
" <td>0.206037</td>\n",
" <td>0.170482</td>\n",
" <td>0.178631</td>\n",
" <td>MORC2</td>\n",
" <td>...</td>\n",
" <td>0.174646</td>\n",
" <td>MORC2</td>\n",
" <td>MORC family CW-type zinc finger protein 2</td>\n",
" <td>0.065417</td>\n",
" <td>0.071523</td>\n",
" <td>0.119325</td>\n",
" <td>0.139047</td>\n",
" <td>0.091384</td>\n",
" <td>0.125451</td>\n",
" <td>0.387853</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6Y0</th>\n",
" <td>NS1BP</td>\n",
" <td>Influenza virus NS1A-binding protein</td>\n",
" <td>0.105772</td>\n",
" <td>0.102494</td>\n",
" <td>0.143457</td>\n",
" <td>0.149672</td>\n",
" <td>0.118365</td>\n",
" <td>0.164373</td>\n",
" <td>0.215868</td>\n",
" <td>NS1BP</td>\n",
" <td>...</td>\n",
" <td>0.339705</td>\n",
" <td>NS1BP</td>\n",
" <td>Influenza virus NS1A-binding protein</td>\n",
" <td>0.128835</td>\n",
" <td>0.132007</td>\n",
" <td>0.155913</td>\n",
" <td>0.155716</td>\n",
" <td>0.110227</td>\n",
" <td>0.151138</td>\n",
" <td>0.166164</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6Y8</th>\n",
" <td>S23IP</td>\n",
" <td>SEC23-interacting protein</td>\n",
" <td>0.080274</td>\n",
" <td>0.062803</td>\n",
" <td>0.166273</td>\n",
" <td>0.226038</td>\n",
" <td>0.174305</td>\n",
" <td>0.145269</td>\n",
" <td>0.145038</td>\n",
" <td>S23IP</td>\n",
" <td>...</td>\n",
" <td>0.229655</td>\n",
" <td>S23IP</td>\n",
" <td>SEC23-interacting protein</td>\n",
" <td>0.051183</td>\n",
" <td>0.061511</td>\n",
" <td>0.188640</td>\n",
" <td>0.230127</td>\n",
" <td>0.220721</td>\n",
" <td>0.160752</td>\n",
" <td>0.087066</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q9Y6Y9</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>LY96</td>\n",
" <td>Lymphocyte antigen 96</td>\n",
" <td>0.088563</td>\n",
" <td>0.060364</td>\n",
" <td>0.170960</td>\n",
" <td>0.194146</td>\n",
" <td>0.284978</td>\n",
" <td>0.117711</td>\n",
" <td>0.083278</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>7640 rows × 54 columns</p>\n",
"</div>"
],
"text/plain": [
" Gene Majority protein IDs \\\n",
"A0A024RBG1 NaN NaN \n",
"A0A0B4J2F0 PIOS1 Protein PIGBOS1 \n",
"A0A0C4DH27 TRGV8 T cell receptor gamma variable 8 \n",
"A0A0U1RQE8 GLYLB Putative glycine N-acyltransferase-like protei... \n",
"A0A0U1RRE5 NBDY Negative regulator of P-body association \n",
"A0A0U1RRL7 MMPOS Protein MMP24OS \n",
"A0A1B0GTK4 F237A Protein FAM237A \n",
"A0A1B0GTU1 NaN NaN \n",
"A0A1B0GUA9 CM046 Uncharacterized protein C13orf46 \n",
"A0A1B0GUY1 MRCOL MARCO-like protein \n",
"A0A1B0GVM5 ETDC Embryonic testis differentiation protein homol... \n",
"A0AVF1 NaN NaN \n",
"A0AVI4 NaN NaN \n",
"A0AVT1 UBA6 Ubiquitin-like modifier-activating enzyme 6 \n",
"A0FGR8 ESYT2 Extended synaptotagmin-2 \n",
"A0FGR9 ESYT3 Extended synaptotagmin-3 \n",
"A0JLT2 MED19 Mediator of RNA polymerase II transcription su... \n",
"A0JNW5 UH1BL UHRF1-binding protein 1-like \n",
"A0MZ66 SHOT1 Shootin-1 \n",
"A0PJW6 TM223 Transmembrane protein 223 \n",
"A0PJZ3 GXLT2 Glucoside xylosyltransferase 2 \n",
"A0PK00 T120B Transmembrane protein 120B \n",
"A1A4S6 NaN NaN \n",
"A1A5C7 S22AN Solute carrier family 22 member 23 \n",
"A1KXE4 NaN NaN \n",
"A1L020 MEX3A RNA-binding protein MEX3A \n",
"A1L0T0 ILVBL Acetolactate synthase-like protein \n",
"A1L188 NDUF8 NADH dehydrogenase [ubiquinone] 1 alpha subcom... \n",
"A1L190 SYCE3 Synaptonemal complex central element protein 3 \n",
"A1X283 SPD2B SH3 and PX domain-containing protein 2B \n",
"... ... ... \n",
"Q9Y6I9 TX264 Testis-expressed protein 264 \n",
"Q9Y6J0 CABIN Calcineurin-binding protein cabin-1 \n",
"Q9Y6J9 TAF6L TAF6-like RNA polymerase II p300/CBP-associate... \n",
"Q9Y6K0 CEPT1 Choline/ethanolaminephosphotransferase 1 \n",
"Q9Y6K1 DNM3A DNA (cytosine-5)-methyltransferase 3A \n",
"Q9Y6K5 OAS3 2-5-oligoadenylate synthase 3 \n",
"Q9Y6M1 IF2B2 Insulin-like growth factor 2 mRNA-binding prot... \n",
"Q9Y6M4 KC1G3 Casein kinase I isoform gamma-3 \n",
"Q9Y6M5 ZNT1 Zinc transporter 1 \n",
"Q9Y6M7 S4A7 Sodium bicarbonate cotransporter 3 \n",
"Q9Y6M9 NDUB9 NADH dehydrogenase [ubiquinone] 1 beta subcomp... \n",
"Q9Y6N7 NaN NaN \n",
"Q9Y6Q9 NCOA3 Nuclear receptor coactivator 3 \n",
"Q9Y6R0 NUMBL Numb-like protein \n",
"Q9Y6R1 S4A4 Electrogenic sodium bicarbonate cotransporter 1 \n",
"Q9Y6R4 M3K4 Mitogen-activated protein kinase kinase kinase 4 \n",
"Q9Y6R9 CCD61 Coiled-coil domain-containing protein 61 \n",
"Q9Y6V7 DDX49 Probable ATP-dependent RNA helicase DDX49 \n",
"Q9Y6W3 CAN7 Calpain-7 \n",
"Q9Y6W5 WASF2 Wiskott-Aldrich syndrome protein family member 2 \n",
"Q9Y6W8 ICOS Inducible T-cell costimulator \n",
"Q9Y6X1 SERP1 Stress-associated endoplasmic reticulum protein 1 \n",
"Q9Y6X3 NaN NaN \n",
"Q9Y6X4 F169A Soluble lamin-associated protein of 75 kDa \n",
"Q9Y6X5 ENPP4 Bis(5-adenosyl)-triphosphatase ENPP4 \n",
"Q9Y6X8 NaN NaN \n",
"Q9Y6X9 MORC2 MORC family CW-type zinc finger protein 2 \n",
"Q9Y6Y0 NS1BP Influenza virus NS1A-binding protein \n",
"Q9Y6Y8 S23IP SEC23-interacting protein \n",
"Q9Y6Y9 NaN NaN \n",
"\n",
" UnA 3K UnA 5.4K UnA 12.2K UnA 24K UnA 78.4K UnA 110K \\\n",
"A0A024RBG1 NaN NaN NaN NaN NaN NaN \n",
"A0A0B4J2F0 0.386754 0.264743 0.247293 0.083600 0.013837 0.002485 \n",
"A0A0C4DH27 0.083431 0.133178 0.189993 0.203442 0.264341 0.086057 \n",
"A0A0U1RQE8 0.351803 0.359586 0.182279 0.075301 0.013139 0.010804 \n",
"A0A0U1RRE5 0.073332 0.081789 0.100556 0.114620 0.142085 0.235966 \n",
"A0A0U1RRL7 0.384507 0.287038 0.125767 0.068543 0.049129 0.039388 \n",
"A0A1B0GTK4 0.075380 0.086213 0.105560 0.116742 0.139426 0.234531 \n",
"A0A1B0GTU1 NaN NaN NaN NaN NaN NaN \n",
"A0A1B0GUA9 0.367451 0.356274 0.183138 0.075645 0.004515 0.008142 \n",
"A0A1B0GUY1 0.384719 0.343920 0.172957 0.059505 0.006153 0.013358 \n",
"A0A1B0GVM5 0.343258 0.329894 0.193873 0.079998 0.014089 0.021732 \n",
"A0AVF1 NaN NaN NaN NaN NaN NaN \n",
"A0AVI4 NaN NaN NaN NaN NaN NaN \n",
"A0AVT1 0.119624 0.099881 0.154572 0.145452 0.124079 0.153886 \n",
"A0FGR8 0.078402 0.129315 0.198720 0.231605 0.255633 0.067879 \n",
"A0FGR9 0.077039 0.068725 0.094741 0.327566 0.075990 0.215653 \n",
"A0JLT2 0.060415 0.058129 0.080881 0.128313 0.264531 0.215843 \n",
"A0JNW5 0.120787 0.096576 0.150369 0.136870 0.133891 0.127651 \n",
"A0MZ66 0.110571 0.135468 0.151279 0.145021 0.082983 0.158526 \n",
"A0PJW6 0.356047 0.368964 0.182758 0.077175 0.006682 0.006286 \n",
"A0PJZ3 0.097822 0.148299 0.255875 0.218548 0.164799 0.068219 \n",
"A0PK00 0.086141 0.109692 0.188796 0.253237 0.284401 0.036423 \n",
"A1A4S6 NaN NaN NaN NaN NaN NaN \n",
"A1A5C7 0.105667 0.156259 0.199790 0.209671 0.206345 0.068885 \n",
"A1KXE4 NaN NaN NaN NaN NaN NaN \n",
"A1L020 0.061096 0.070667 0.086160 0.117102 0.239882 0.232738 \n",
"A1L0T0 0.074063 0.112718 0.176322 0.234312 0.271491 0.085603 \n",
"A1L188 0.348854 0.349491 0.163401 0.088477 0.012218 0.024652 \n",
"A1L190 0.349688 0.321512 0.198460 0.079823 0.012268 0.023300 \n",
"A1X283 0.093903 0.093741 0.128843 0.135656 0.193406 0.173866 \n",
"... ... ... ... ... ... ... \n",
"Q9Y6I9 0.074696 0.111008 0.176836 0.235324 0.301435 0.070558 \n",
"Q9Y6J0 0.132517 0.100571 0.150593 0.121133 0.187341 0.173157 \n",
"Q9Y6J9 0.111783 0.079428 0.104269 0.140407 0.150898 0.188078 \n",
"Q9Y6K0 0.085285 0.123105 0.181051 0.212775 0.309378 0.065292 \n",
"Q9Y6K1 0.146604 0.122185 0.147580 0.131605 0.143893 0.105826 \n",
"Q9Y6K5 0.056773 0.059003 0.079368 0.115289 0.232375 0.265714 \n",
"Q9Y6M1 0.056404 0.051659 0.074241 0.107109 0.224615 0.265649 \n",
"Q9Y6M4 0.087833 0.120907 0.187643 0.231374 0.218924 0.089292 \n",
"Q9Y6M5 0.086365 0.158259 0.221778 0.236351 0.213402 0.055917 \n",
"Q9Y6M7 0.083405 0.119020 0.236299 0.277947 0.204169 0.054751 \n",
"Q9Y6M9 0.365391 0.361834 0.170359 0.066818 0.006994 0.016731 \n",
"Q9Y6N7 NaN NaN NaN NaN NaN NaN \n",
"Q9Y6Q9 0.081981 0.076363 0.106146 0.140080 0.197783 0.166922 \n",
"Q9Y6R0 0.097137 0.119523 0.176051 0.195375 0.192139 0.113387 \n",
"Q9Y6R1 0.082297 0.134010 0.208473 0.267493 0.199702 0.071690 \n",
"Q9Y6R4 0.093702 0.099861 0.122071 0.133248 0.123755 0.189835 \n",
"Q9Y6R9 0.246779 0.235636 0.132806 0.079495 0.057036 0.122038 \n",
"Q9Y6V7 0.073188 0.059583 0.106061 0.123484 0.183391 0.248803 \n",
"Q9Y6W3 0.077294 0.079815 0.172275 0.194415 0.155560 0.140728 \n",
"Q9Y6W5 0.103348 0.109861 0.134732 0.162267 0.189438 0.155787 \n",
"Q9Y6W8 0.101824 0.144456 0.196838 0.233959 0.209670 0.072645 \n",
"Q9Y6X1 0.079339 0.120303 0.189676 0.223852 0.242885 0.090816 \n",
"Q9Y6X3 NaN NaN NaN NaN NaN NaN \n",
"Q9Y6X4 0.084718 0.089173 0.113875 0.125049 0.138260 0.197932 \n",
"Q9Y6X5 0.013648 0.019952 0.092175 0.271281 0.154323 0.297295 \n",
"Q9Y6X8 NaN NaN NaN NaN NaN NaN \n",
"Q9Y6X9 0.132792 0.082497 0.114311 0.115251 0.206037 0.170482 \n",
"Q9Y6Y0 0.105772 0.102494 0.143457 0.149672 0.118365 0.164373 \n",
"Q9Y6Y8 0.080274 0.062803 0.166273 0.226038 0.174305 0.145269 \n",
"Q9Y6Y9 NaN NaN NaN NaN NaN NaN \n",
"\n",
" UnA 195.5K Gene ... IndB 195.5K Gene \\\n",
"A0A024RBG1 NaN A0A024RBG1 ... NaN NaN \n",
"A0A0B4J2F0 0.001289 NaN ... NaN PIOS1 \n",
"A0A0C4DH27 0.039557 TRGV8 ... NaN NaN \n",
"A0A0U1RQE8 0.007090 GLYLB ... 0.020849 GLYLB \n",
"A0A0U1RRE5 0.251652 NBDY ... 0.344353 NBDY \n",
"A0A0U1RRL7 0.045628 NaN ... NaN NaN \n",
"A0A1B0GTK4 0.242148 F237A ... 0.268559 F237A \n",
"A0A1B0GTU1 NaN NaN ... 0.084351 NaN \n",
"A0A1B0GUA9 0.004835 CM046 ... 0.006528 CM046 \n",
"A0A1B0GUY1 0.019388 MRCOL ... 0.018656 MRCOL \n",
"A0A1B0GVM5 0.017156 ETDC ... 0.016522 ETDC \n",
"A0AVF1 NaN IFT56 ... NaN NaN \n",
"A0AVI4 NaN TM129 ... 0.033770 NaN \n",
"A0AVT1 0.202506 UBA6 ... 0.252806 UBA6 \n",
"A0FGR8 0.038446 ESYT2 ... 0.027444 ESYT2 \n",
"A0FGR9 0.140286 NaN ... NaN NaN \n",
"A0JLT2 0.191888 MED19 ... 0.182690 MED19 \n",
"A0JNW5 0.233856 NaN ... 0.234088 NaN \n",
"A0MZ66 0.216152 NaN ... 0.241972 NaN \n",
"A0PJW6 0.002089 NaN ... 0.026288 TM223 \n",
"A0PJZ3 0.046439 GXLT2 ... 0.063833 GXLT2 \n",
"A0PK00 0.041310 T120B ... 0.107532 T120B \n",
"A1A4S6 NaN NaN ... 0.075888 RHG10 \n",
"A1A5C7 0.053383 S22AN ... 0.043826 S22AN \n",
"A1KXE4 NaN NaN ... NaN NaN \n",
"A1L020 0.192355 MEX3A ... 0.155836 MEX3A \n",
"A1L0T0 0.045492 ILVBL ... 0.079348 ILVBL \n",
"A1L188 0.012907 NaN ... NaN NDUF8 \n",
"A1L190 0.014950 SYCE3 ... 0.011967 SYCE3 \n",
"A1X283 0.180585 SPD2B ... 0.169103 SPD2B \n",
"... ... ... ... ... ... \n",
"Q9Y6I9 0.030144 TX264 ... 0.035318 TX264 \n",
"Q9Y6J0 0.134688 CABIN ... 0.198172 CABIN \n",
"Q9Y6J9 0.225137 TAF6L ... 0.250280 TAF6L \n",
"Q9Y6K0 0.023115 CEPT1 ... 0.017688 CEPT1 \n",
"Q9Y6K1 0.202308 DNM3A ... 0.164258 DNM3A \n",
"Q9Y6K5 0.191480 OAS3 ... 0.193422 OAS3 \n",
"Q9Y6M1 0.220322 IF2B2 ... 0.158287 IF2B2 \n",
"Q9Y6M4 0.064027 KC1G3 ... 0.058753 KC1G3 \n",
"Q9Y6M5 0.027929 ZNT1 ... 0.024546 ZNT1 \n",
"Q9Y6M7 0.024408 S4A7 ... 0.029069 S4A7 \n",
"Q9Y6M9 0.011873 NDUB9 ... 0.005787 NDUB9 \n",
"Q9Y6N7 NaN NaN ... 0.116402 NaN \n",
"Q9Y6Q9 0.230726 NCOA3 ... 0.814847 NCOA3 \n",
"Q9Y6R0 0.106388 NUMBL ... 0.070209 NaN \n",
"Q9Y6R1 0.036335 S4A4 ... 0.070084 S4A4 \n",
"Q9Y6R4 0.237528 M3K4 ... 0.260281 M3K4 \n",
"Q9Y6R9 0.126210 CCD61 ... 0.272321 CCD61 \n",
"Q9Y6V7 0.205491 DDX49 ... NaN DDX49 \n",
"Q9Y6W3 0.179912 CAN7 ... 0.234137 CAN7 \n",
"Q9Y6W5 0.144567 WASF2 ... 0.149762 WASF2 \n",
"Q9Y6W8 0.040608 ICOS ... 0.087279 NaN \n",
"Q9Y6X1 0.053129 SERP1 ... 0.109812 SERP1 \n",
"Q9Y6X3 NaN NaN ... NaN NaN \n",
"Q9Y6X4 0.250993 F169A ... 0.251385 F169A \n",
"Q9Y6X5 0.151326 ENPP4 ... 0.096920 ENPP4 \n",
"Q9Y6X8 NaN NaN ... 0.133196 ZHX2 \n",
"Q9Y6X9 0.178631 MORC2 ... 0.174646 MORC2 \n",
"Q9Y6Y0 0.215868 NS1BP ... 0.339705 NS1BP \n",
"Q9Y6Y8 0.145038 S23IP ... 0.229655 S23IP \n",
"Q9Y6Y9 NaN NaN ... NaN LY96 \n",
"\n",
" Majority protein IDs IndC 3K \\\n",
"A0A024RBG1 NaN NaN \n",
"A0A0B4J2F0 Protein PIGBOS1 0.207509 \n",
"A0A0C4DH27 NaN NaN \n",
"A0A0U1RQE8 Putative glycine N-acyltransferase-like protei... 0.340440 \n",
"A0A0U1RRE5 Negative regulator of P-body association 0.075298 \n",
"A0A0U1RRL7 NaN NaN \n",
"A0A1B0GTK4 Protein FAM237A 0.092061 \n",
"A0A1B0GTU1 NaN NaN \n",
"A0A1B0GUA9 Uncharacterized protein C13orf46 0.382146 \n",
"A0A1B0GUY1 MARCO-like protein 0.414379 \n",
"A0A1B0GVM5 Embryonic testis differentiation protein homol... 0.358349 \n",
"A0AVF1 NaN NaN \n",
"A0AVI4 NaN NaN \n",
"A0AVT1 Ubiquitin-like modifier-activating enzyme 6 0.131825 \n",
"A0FGR8 Extended synaptotagmin-2 0.070045 \n",
"A0FGR9 NaN NaN \n",
"A0JLT2 Mediator of RNA polymerase II transcription su... 0.062920 \n",
"A0JNW5 NaN NaN \n",
"A0MZ66 NaN NaN \n",
"A0PJW6 Transmembrane protein 223 0.321394 \n",
"A0PJZ3 Glucoside xylosyltransferase 2 0.070660 \n",
"A0PK00 Transmembrane protein 120B 0.042091 \n",
"A1A4S6 Rho GTPase-activating protein 10 0.087440 \n",
"A1A5C7 Solute carrier family 22 member 23 0.063654 \n",
"A1KXE4 NaN NaN \n",
"A1L020 RNA-binding protein MEX3A 0.073822 \n",
"A1L0T0 Acetolactate synthase-like protein 0.058444 \n",
"A1L188 NADH dehydrogenase [ubiquinone] 1 alpha subcom... 0.229389 \n",
"A1L190 Synaptonemal complex central element protein 3 0.372089 \n",
"A1X283 SH3 and PX domain-containing protein 2B 0.151245 \n",
"... ... ... \n",
"Q9Y6I9 Testis-expressed protein 264 0.054526 \n",
"Q9Y6J0 Calcineurin-binding protein cabin-1 0.152163 \n",
"Q9Y6J9 TAF6-like RNA polymerase II p300/CBP-associate... 0.142901 \n",
"Q9Y6K0 Choline/ethanolaminephosphotransferase 1 0.077624 \n",
"Q9Y6K1 DNA (cytosine-5)-methyltransferase 3A 0.180057 \n",
"Q9Y6K5 2-5-oligoadenylate synthase 3 0.086919 \n",
"Q9Y6M1 Insulin-like growth factor 2 mRNA-binding prot... 0.075081 \n",
"Q9Y6M4 Casein kinase I isoform gamma-3 0.066680 \n",
"Q9Y6M5 Zinc transporter 1 0.076154 \n",
"Q9Y6M7 Sodium bicarbonate cotransporter 3 0.053211 \n",
"Q9Y6M9 NADH dehydrogenase [ubiquinone] 1 beta subcomp... 0.380347 \n",
"Q9Y6N7 NaN NaN \n",
"Q9Y6Q9 Nuclear receptor coactivator 3 0.071113 \n",
"Q9Y6R0 NaN NaN \n",
"Q9Y6R1 Electrogenic sodium bicarbonate cotransporter 1 0.066700 \n",
"Q9Y6R4 Mitogen-activated protein kinase kinase kinase 4 0.122096 \n",
"Q9Y6R9 Coiled-coil domain-containing protein 61 0.112714 \n",
"Q9Y6V7 Probable ATP-dependent RNA helicase DDX49 0.097887 \n",
"Q9Y6W3 Calpain-7 0.142266 \n",
"Q9Y6W5 Wiskott-Aldrich syndrome protein family member 2 0.113479 \n",
"Q9Y6W8 NaN NaN \n",
"Q9Y6X1 Stress-associated endoplasmic reticulum protein 1 0.059985 \n",
"Q9Y6X3 NaN NaN \n",
"Q9Y6X4 Soluble lamin-associated protein of 75 kDa 0.117515 \n",
"Q9Y6X5 Bis(5-adenosyl)-triphosphatase ENPP4 0.028242 \n",
"Q9Y6X8 Zinc fingers and homeoboxes protein 2 0.239829 \n",
"Q9Y6X9 MORC family CW-type zinc finger protein 2 0.065417 \n",
"Q9Y6Y0 Influenza virus NS1A-binding protein 0.128835 \n",
"Q9Y6Y8 SEC23-interacting protein 0.051183 \n",
"Q9Y6Y9 Lymphocyte antigen 96 0.088563 \n",
"\n",
" IndC 5.4K IndC 12.2K IndC 24K IndC 78.4K IndC 110K IndC 195.5K \n",
"A0A024RBG1 NaN NaN NaN NaN NaN NaN \n",
"A0A0B4J2F0 0.387909 0.293192 0.069349 0.037088 0.002817 0.002135 \n",
"A0A0C4DH27 NaN NaN NaN NaN NaN NaN \n",
"A0A0U1RQE8 0.333577 0.188079 0.068369 0.014223 0.025619 0.029693 \n",
"A0A0U1RRE5 0.054765 0.115502 0.126762 0.142639 0.266066 0.218968 \n",
"A0A0U1RRL7 NaN NaN NaN NaN NaN NaN \n",
"A0A1B0GTK4 0.091892 0.127865 0.127917 0.132667 0.208240 0.219358 \n",
"A0A1B0GTU1 NaN NaN NaN NaN NaN NaN \n",
"A0A1B0GUA9 0.389012 0.171493 0.040769 0.009833 0.002769 0.003978 \n",
"A0A1B0GUY1 0.373608 0.147963 0.044889 0.003822 0.008759 0.006580 \n",
"A0A1B0GVM5 0.336262 0.181888 0.060905 0.025495 0.020109 0.016991 \n",
"A0AVF1 NaN NaN NaN NaN NaN NaN \n",
"A0AVI4 NaN NaN NaN NaN NaN NaN \n",
"A0AVT1 0.133185 0.152595 0.163429 0.115206 0.133834 0.169926 \n",
"A0FGR8 0.119380 0.190582 0.221015 0.266680 0.106611 0.025687 \n",
"A0FGR9 NaN NaN NaN NaN NaN NaN \n",
"A0JLT2 0.057069 0.072013 0.085298 0.221117 0.302311 0.199272 \n",
"A0JNW5 NaN NaN NaN NaN NaN NaN \n",
"A0MZ66 NaN NaN NaN NaN NaN NaN \n",
"A0PJW6 0.306489 0.153720 0.059980 0.065930 0.055452 0.037035 \n",
"A0PJZ3 0.129076 0.219619 0.202528 0.187010 0.137688 0.053418 \n",
"A0PK00 0.105417 0.171556 0.267288 0.270983 0.124625 0.018040 \n",
"A1A4S6 0.122347 0.169665 0.177494 0.158454 0.175035 0.109565 \n",
"A1A5C7 0.113646 0.226196 0.231375 0.207110 0.101630 0.056390 \n",
"A1KXE4 NaN NaN NaN NaN NaN NaN \n",
"A1L020 0.073760 0.091595 0.097758 0.208972 0.295842 0.158251 \n",
"A1L0T0 0.090164 0.170021 0.234525 0.247323 0.150613 0.048911 \n",
"A1L188 0.271859 0.138330 0.090963 0.071952 0.044681 0.152827 \n",
"A1L190 0.350526 0.194307 0.052867 0.011999 0.008659 0.009552 \n",
"A1X283 0.123565 0.118126 0.148542 0.145573 0.188251 0.124697 \n",
"... ... ... ... ... ... ... \n",
"Q9Y6I9 0.088798 0.168927 0.229107 0.282739 0.138288 0.037616 \n",
"Q9Y6J0 0.190993 0.157692 0.118196 0.157759 0.125805 0.097392 \n",
"Q9Y6J9 0.127513 0.146141 0.144680 0.129799 0.158230 0.150736 \n",
"Q9Y6K0 0.127026 0.155484 0.203143 0.304950 0.112250 0.019523 \n",
"Q9Y6K1 0.183066 0.142738 0.120800 0.128043 0.123839 0.121457 \n",
"Q9Y6K5 0.071374 0.085284 0.098044 0.176453 0.257677 0.224250 \n",
"Q9Y6M1 0.064308 0.087283 0.108486 0.242453 0.282183 0.140205 \n",
"Q9Y6M4 0.133053 0.209786 0.236653 0.244527 0.091610 0.017690 \n",
"Q9Y6M5 0.125682 0.235016 0.230316 0.217187 0.088323 0.027322 \n",
"Q9Y6M7 0.106271 0.219871 0.302801 0.218080 0.074980 0.024786 \n",
"Q9Y6M9 0.343728 0.166001 0.038956 0.015520 0.020485 0.034964 \n",
"Q9Y6N7 NaN NaN NaN NaN NaN NaN \n",
"Q9Y6Q9 0.038870 0.083309 0.124184 0.237697 0.322722 0.122104 \n",
"Q9Y6R0 NaN NaN NaN NaN NaN NaN \n",
"Q9Y6R1 0.128322 0.223771 0.251103 0.225252 0.076419 0.028432 \n",
"Q9Y6R4 0.120769 0.120580 0.128052 0.130014 0.218089 0.160400 \n",
"Q9Y6R9 0.094092 0.105964 0.086955 0.142782 0.207260 0.250233 \n",
"Q9Y6V7 0.061444 0.102793 0.143611 0.138208 0.263283 0.192774 \n",
"Q9Y6W3 0.145495 0.175466 0.171828 0.138733 0.121924 0.104288 \n",
"Q9Y6W5 0.094836 0.141683 0.153561 0.191846 0.184499 0.120096 \n",
"Q9Y6W8 NaN NaN NaN NaN NaN NaN \n",
"Q9Y6X1 0.073498 0.150035 0.229800 0.273727 0.137218 0.075737 \n",
"Q9Y6X3 NaN NaN NaN NaN NaN NaN \n",
"Q9Y6X4 0.118488 0.183081 0.138668 0.094291 0.162414 0.185543 \n",
"Q9Y6X5 0.071005 0.159491 0.199364 0.255284 0.198540 0.088074 \n",
"Q9Y6X8 0.179259 0.126712 0.091963 0.170697 0.092457 0.099083 \n",
"Q9Y6X9 0.071523 0.119325 0.139047 0.091384 0.125451 0.387853 \n",
"Q9Y6Y0 0.132007 0.155913 0.155716 0.110227 0.151138 0.166164 \n",
"Q9Y6Y8 0.061511 0.188640 0.230127 0.220721 0.160752 0.087066 \n",
"Q9Y6Y9 0.060364 0.170960 0.194146 0.284978 0.117711 0.083278 \n",
"\n",
"[7640 rows x 54 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Rename columns in replicates to make them replicate specific\n",
"# Read in all replicates and use outer join\n",
"ua = pd.read_csv('UnA/20190517_UnA_RowSum.csv', index_col = 0)\n",
"ub = pd.read_csv('UnB/20190517_UnB_RowSum.csv', index_col = 0)\n",
"uc = pd.read_csv('UnC/20190517_UnC_RowSum.csv', index_col = 0)\n",
"ia = pd.read_csv('IndA/20190517_IndA_RowSum.csv', index_col = 0)\n",
"ib = pd.read_csv('IndB/20190517_IndB_RowSum.csv', index_col = 0)\n",
"ic = pd.read_csv('IndC/20190517_IndC_RowSum.csv', index_col = 0)\n",
"\n",
"ua.columns = ['Gene', 'Majority protein IDs', 'UnA 3K', 'UnA 5.4K', 'UnA 12.2K', 'UnA 24K', 'UnA 78.4K', 'UnA 110K', \n",
" 'UnA 195.5K']\n",
"ub.columns = ['Gene', 'Majority protein IDs', 'UnB 3K', 'UnB 5.4K', 'UnB 12.2K', 'UnB 24K', 'UnB 78.4K', 'UnB 110K', \n",
" 'UnB 195.5K']\n",
"uc.columns = ['Gene', 'Majority protein IDs', 'UnC 3K', 'UnC 5.4K', 'UnC 12.2K', 'UnC 24K', 'UnC 78.4K', 'UnC 110K', \n",
" 'UnC 195.5K']\n",
"ia.columns = ['Gene', 'Majority protein IDs', 'IndA 3K', 'IndA 5.4K', 'IndA 12.2K', 'IndA 24K', 'IndA 78.4K', \n",
" 'IndA 110K', 'IndA 195.5K']\n",
"ib.columns = ['Gene', 'Majority protein IDs', 'IndB 3K', 'IndB 5.4K', 'IndB 12.2K', 'IndB 24K', 'IndB 78.4K', \n",
" 'IndB 110K', 'IndB 195.5K']\n",
"ic.columns = ['Gene', 'Majority protein IDs', 'IndC 3K', 'IndC 5.4K', 'IndC 12.2K', 'IndC 24K', 'IndC 78.4K', \n",
" 'IndC 110K', 'IndC 195.5K']\n",
"\n",
"repl_list = [ua, ub, uc, ia, ib, ic]\n",
"\n",
"df_all = pd.concat(repl_list, axis=1, join='outer')\n",
"print(df_all.columns)\n",
"df_all"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Index(['A0A024RBG1', 'A0A0B4J2F0', 'A0A0C4DH27', 'A0A0U1RQE8', 'A0A0U1RRE5',\n",
" 'A0A0U1RRL7', 'A0A1B0GTK4', 'A0A1B0GTU1', 'A0A1B0GUA9', 'A0A1B0GUY1',\n",
" ...\n",
" 'Q9Y6W8', 'Q9Y6X1', 'Q9Y6X3', 'Q9Y6X4', 'Q9Y6X5', 'Q9Y6X8', 'Q9Y6X9',\n",
" 'Q9Y6Y0', 'Q9Y6Y8', 'Q9Y6Y9'],\n",
" dtype='object', length=7640)\n"
]
}
],
"source": [
"# Dropping Gene and Majority protein IDs columns from df\n",
"df_all.drop(columns=['Gene', 'Majority protein IDs'], inplace=True)\n",
"print(df_all.index)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['UnA 3K', 'UnA 5.4K', 'UnA 12.2K', 'UnA 24K', 'UnA 78.4K', 'UnA 110K',\n",
" 'UnA 195.5K', 'UnB 3K', 'UnB 5.4K', 'UnB 12.2K', 'UnB 24K', 'UnB 78.4K',\n",
" 'UnB 110K', 'UnB 195.5K', 'UnC 3K', 'UnC 5.4K', 'UnC 12.2K', 'UnC 24K',\n",
" 'UnC 78.4K', 'UnC 110K', 'UnC 195.5K', 'IndA 3K', 'IndA 5.4K',\n",
" 'IndA 12.2K', 'IndA 24K', 'IndA 78.4K', 'IndA 110K', 'IndA 195.5K',\n",
" 'IndB 3K', 'IndB 5.4K', 'IndB 12.2K', 'IndB 24K', 'IndB 78.4K',\n",
" 'IndB 110K', 'IndB 195.5K', 'IndC 3K', 'IndC 5.4K', 'IndC 12.2K',\n",
" 'IndC 24K', 'IndC 78.4K', 'IndC 110K', 'IndC 195.5K'],\n",
" dtype='object')"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Subsetting out normalized data\n",
"df = df_all.loc[:, 'UnA 3K':'IndC 195.5K']\n",
"df.columns"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 2160x2160 with 4 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Making correlation matrix with dendrograms, pearson correlation\n",
"corr = 1 - df.corr() \n",
"corr_condensed = hc.distance.squareform(corr) # convert to condensed\n",
"\n",
"# Compute and plot first dendrogram.\n",
"fig = pylab.figure(figsize=(30,30))\n",
"ax1 = fig.add_axes([0,0.1,0.25,0.6])\n",
"Y = hc.linkage(corr_condensed, method='weighted')\n",
"Z1 = hc.dendrogram(Y, orientation='left')\n",
"ax1.set_xticks([])\n",
"ax1.set_yticks([])\n",
"\n",
"# Compute and plot second dendrogram.\n",
"ax2 = fig.add_axes([0.3,0.75,0.6,0.25])\n",
"Y = hc.linkage(corr_condensed, method='weighted')\n",
"Z2 = hc.dendrogram(Y)\n",
"ax2.set_xticks([])\n",
"ax2.set_yticks([])\n",
"\n",
"# Plot distance matrix.\n",
"axmatrix = fig.add_axes([0.3,0.1,0.6,0.6])\n",
"idx = list(Z1['leaves'])\n",
"featdict = {0: 'IndA 3K', 1: 'IndA 5.4K', 2: 'IndA 12.2K', 3: 'IndA 24K', 4: 'IndA 78.4K', 5: 'IndA 110K', 6: 'IndA 195.5K', \n",
" 7: 'IndB 3K', 8: 'IndB 5.4K', 9: 'IndB 12.2K', 10: 'IndB 24K', 11: 'IndB 78.4K', 12: 'IndB 110K', 13 :'IndB 195.5K', \n",
" 14: 'IndC 3K', 15: 'IndC 5.4K', 16: 'IndC 12.2K', 17: 'IndC 24K', 18: 'IndC 78.4K', 19: 'IndC 110K', 20: 'IndC 195.5K', \n",
" 21: 'UnA 3K', 22: 'UnA 5.4K', 23: 'UnA 12.2K', 24: 'UnA 24K', 25: 'UnA 78.4K', 26: 'UnA 110K', 27: 'UnA 195.5K', \n",
" 28: 'UnB 3K', 29: 'UnB 5.4K', 30: 'UnB 12.2K', 31: 'UnB 24K', 32: 'UnB 78.4K', 33: 'UnB 110K', 34: 'UnB 195.5K', \n",
" 35: 'UnC 3K', 36: 'UnC 5.4K', 37: 'UnC 12.2K', 38: 'UnC 24K', 39: 'UnC 78.4K', 40: 'UnC 110K', 41: 'UnC 195.5K'}\n",
"corr.index = list(range(0,42))\n",
"corr.columns = list(range(0,42))\n",
"carray = corr.values\n",
"corrind = carray[idx,:][:,idx]\n",
"corrflip = 1 - corrind\n",
"im = axmatrix.matshow(corrflip, aspect='auto', origin='lower', cmap=pylab.cm.YlGnBu)\n",
"idx = [featdict[x] for x in idx]\n",
"axmatrix.set_xticklabels(['']+idx, rotation = 90, fontsize=15)\n",
"axmatrix.set_yticklabels(['']+idx, fontsize=15)\n",
"axmatrix.xaxis.set_major_locator(ticker.MultipleLocator(1))\n",
"axmatrix.yaxis.set_major_locator(ticker.MultipleLocator(1))\n",
"\n",
"# Plot colorbar.\n",
"axcolor = fig.add_axes([0.91,0.1,0.02,0.6])\n",
"pylab.colorbar(im, cax=axcolor)\n",
"fig.suptitle('Pearson Correlation of\\nRow Sum Normalized\\nFractions', x=0.13, y=0.9, fontsize=55)\n",
"fig.savefig('PearsonCorr_matrixwithdendro_rowsum.png', dpi=500, bbox_inches='tight')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 2160x2160 with 4 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Making correlation matrix with dendrograms, spearman correlation\n",
"corr = 1 - df.corr(method='spearman') \n",
"corr_condensed = hc.distance.squareform(corr) # convert to condensed\n",
"\n",
"# Compute and plot first dendrogram.\n",
"fig = pylab.figure(figsize=(30,30))\n",
"ax1 = fig.add_axes([0,0.1,0.25,0.6])\n",
"Y = hc.linkage(corr_condensed, method='weighted')\n",
"Z1 = hc.dendrogram(Y, orientation='left')\n",
"ax1.set_xticks([])\n",
"ax1.set_yticks([])\n",
"\n",
"# Compute and plot second dendrogram.\n",
"ax2 = fig.add_axes([0.3,0.75,0.6,0.25])\n",
"Y = hc.linkage(corr_condensed, method='weighted')\n",
"Z2 = hc.dendrogram(Y)\n",
"ax2.set_xticks([])\n",
"ax2.set_yticks([])\n",
"\n",
"# Plot distance matrix.\n",
"axmatrix = fig.add_axes([0.3,0.1,0.6,0.6])\n",
"idx = list(Z1['leaves'])\n",
"featdict = {0: 'IndA 3K', 1: 'IndA 5.4K', 2: 'IndA 12.2K', 3: 'IndA 24K', 4: 'IndA 78.4K', 5: 'IndA 110K', 6: 'IndA 195.5K', \n",
" 7: 'IndB 3K', 8: 'IndB 5.4K', 9: 'IndB 12.2K', 10: 'IndB 24K', 11: 'IndB 78.4K', 12: 'IndB 110K', 13 :'IndB 195.5K', \n",
" 14: 'IndC 3K', 15: 'IndC 5.4K', 16: 'IndC 12.2K', 17: 'IndC 24K', 18: 'IndC 78.4K', 19: 'IndC 110K', 20: 'IndC 195.5K', \n",
" 21: 'UnA 3K', 22: 'UnA 5.4K', 23: 'UnA 12.2K', 24: 'UnA 24K', 25: 'UnA 78.4K', 26: 'UnA 110K', 27: 'UnA 195.5K', \n",
" 28: 'UnB 3K', 29: 'UnB 5.4K', 30: 'UnB 12.2K', 31: 'UnB 24K', 32: 'UnB 78.4K', 33: 'UnB 110K', 34: 'UnB 195.5K', \n",
" 35: 'UnC 3K', 36: 'UnC 5.4K', 37: 'UnC 12.2K', 38: 'UnC 24K', 39: 'UnC 78.4K', 40: 'UnC 110K', 41: 'UnC 195.5K'}\n",
"corr.index = list(range(0,42))\n",
"corr.columns = list(range(0,42))\n",
"carray = corr.values\n",
"corrind = carray[idx,:][:,idx]\n",
"corrflip = 1 - corrind\n",
"im = axmatrix.matshow(corrflip, aspect='auto', origin='lower', cmap=pylab.cm.YlGnBu)\n",
"idx = [featdict[x] for x in idx]\n",
"axmatrix.set_xticklabels(['']+idx, rotation = 90, fontsize=15)\n",
"axmatrix.set_yticklabels(['']+idx, fontsize=15)\n",
"axmatrix.xaxis.set_major_locator(ticker.MultipleLocator(1))\n",
"axmatrix.yaxis.set_major_locator(ticker.MultipleLocator(1))\n",
"\n",
"# Plot colorbar.\n",
"axcolor = fig.add_axes([0.91,0.1,0.02,0.6])\n",
"pylab.colorbar(im, cax=axcolor)\n",
"fig.suptitle('Spearman Correlation of\\nRow Sum Normalized\\nFractions', x=0.13, y=0.9, fontsize=55)\n",
"fig.savefig('SpearmanCorr_matrixwithdendro_rowsum.png', dpi=500, bbox_inches='tight')"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 2160x2160 with 4 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Making correlation matrix with dendrograms, kendall correlation\n",
"corr = 1 - df.corr(method='kendall') \n",
"corr_condensed = hc.distance.squareform(corr) # convert to condensed\n",
"\n",
"# Compute and plot first dendrogram.\n",
"fig = pylab.figure(figsize=(30,30))\n",
"ax1 = fig.add_axes([0,0.1,0.25,0.6])\n",
"Y = hc.linkage(corr_condensed, method='weighted')\n",
"Z1 = hc.dendrogram(Y, orientation='left')\n",
"ax1.set_xticks([])\n",
"ax1.set_yticks([])\n",
"\n",
"# Compute and plot second dendrogram.\n",
"ax2 = fig.add_axes([0.3,0.75,0.6,0.25])\n",
"Y = hc.linkage(corr_condensed, method='weighted')\n",
"Z2 = hc.dendrogram(Y)\n",
"ax2.set_xticks([])\n",
"ax2.set_yticks([])\n",
"\n",
"# Plot distance matrix.\n",
"axmatrix = fig.add_axes([0.3,0.1,0.6,0.6])\n",
"idx = list(Z1['leaves'])\n",
"featdict = {0: 'IndA 3K', 1: 'IndA 5.4K', 2: 'IndA 12.2K', 3: 'IndA 24K', 4: 'IndA 78.4K', 5: 'IndA 110K', 6: 'IndA 195.5K', \n",
" 7: 'IndB 3K', 8: 'IndB 5.4K', 9: 'IndB 12.2K', 10: 'IndB 24K', 11: 'IndB 78.4K', 12: 'IndB 110K', 13 :'IndB 195.5K', \n",
" 14: 'IndC 3K', 15: 'IndC 5.4K', 16: 'IndC 12.2K', 17: 'IndC 24K', 18: 'IndC 78.4K', 19: 'IndC 110K', 20: 'IndC 195.5K', \n",
" 21: 'UnA 3K', 22: 'UnA 5.4K', 23: 'UnA 12.2K', 24: 'UnA 24K', 25: 'UnA 78.4K', 26: 'UnA 110K', 27: 'UnA 195.5K', \n",
" 28: 'UnB 3K', 29: 'UnB 5.4K', 30: 'UnB 12.2K', 31: 'UnB 24K', 32: 'UnB 78.4K', 33: 'UnB 110K', 34: 'UnB 195.5K', \n",
" 35: 'UnC 3K', 36: 'UnC 5.4K', 37: 'UnC 12.2K', 38: 'UnC 24K', 39: 'UnC 78.4K', 40: 'UnC 110K', 41: 'UnC 195.5K'}\n",
"corr.index = list(range(0,42))\n",
"corr.columns = list(range(0,42))\n",
"carray = corr.values\n",
"corrind = carray[idx,:][:,idx]\n",
"corrflip = 1 - corrind\n",
"im = axmatrix.matshow(corrflip, aspect='auto', origin='lower', cmap=pylab.cm.YlGnBu)\n",
"idx = [featdict[x] for x in idx]\n",
"axmatrix.set_xticklabels(['']+idx, rotation = 90, fontsize=15)\n",
"axmatrix.set_yticklabels(['']+idx, fontsize=15)\n",
"axmatrix.xaxis.set_major_locator(ticker.MultipleLocator(1))\n",
"axmatrix.yaxis.set_major_locator(ticker.MultipleLocator(1))\n",
"\n",
"# Plot colorbar.\n",
"axcolor = fig.add_axes([0.91,0.1,0.02,0.6])\n",
"pylab.colorbar(im, cax=axcolor)\n",
"fig.suptitle('Kendall Correlation of\\nRow Sum Normalized\\nFractions', x=0.13, y=0.9, fontsize=55)\n",
"fig.savefig('KendallCorr_matrixwithdendro_rowsum.png', dpi=500, bbox_inches='tight')"
]
}
],
"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": "3.7.4"
}
},
"nbformat": 4,
"nbformat_minor": 4
}