GeneNetworkModeling.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "GeneNetworkModeling.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyM5a+tjN/fSGt77jHjydzZ/",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Akmazad/XTalkiiS-application/blob/main/GeneNetworkModeling.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Bjg7mkD2HoGd"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "from IPython.display import display\n",
        "import numpy as np\n",
        "import networkx as nx\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1 = pd.read_csv(\"/content/R_GE_data_GSE38376.csv\", header=None)\n",
        "df1.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "pm5T-6QNNPG2",
        "outputId": "2bdc5852-8963-4650-e370-a65056f956c7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-9e756ab9-9be0-4a1e-983e-2a4e726dfadb\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7A5</td>\n",
              "      <td>77.970</td>\n",
              "      <td>72.450</td>\n",
              "      <td>58.93</td>\n",
              "      <td>72.170000</td>\n",
              "      <td>83.230000</td>\n",
              "      <td>82.660000</td>\n",
              "      <td>73.400000</td>\n",
              "      <td>76.410000</td>\n",
              "      <td>79.530000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>A1BG</td>\n",
              "      <td>100.950</td>\n",
              "      <td>94.765</td>\n",
              "      <td>92.13</td>\n",
              "      <td>102.480000</td>\n",
              "      <td>103.545000</td>\n",
              "      <td>87.490000</td>\n",
              "      <td>93.755000</td>\n",
              "      <td>103.955000</td>\n",
              "      <td>91.075000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>A1CF</td>\n",
              "      <td>79.590</td>\n",
              "      <td>78.910</td>\n",
              "      <td>74.00</td>\n",
              "      <td>78.846667</td>\n",
              "      <td>76.203333</td>\n",
              "      <td>83.873333</td>\n",
              "      <td>73.676667</td>\n",
              "      <td>77.716667</td>\n",
              "      <td>81.606667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>A26A1</td>\n",
              "      <td>73.445</td>\n",
              "      <td>74.870</td>\n",
              "      <td>78.72</td>\n",
              "      <td>79.495000</td>\n",
              "      <td>84.435000</td>\n",
              "      <td>86.385000</td>\n",
              "      <td>87.555000</td>\n",
              "      <td>96.725000</td>\n",
              "      <td>82.015000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>A26B1</td>\n",
              "      <td>70.860</td>\n",
              "      <td>65.470</td>\n",
              "      <td>94.37</td>\n",
              "      <td>83.630000</td>\n",
              "      <td>81.270000</td>\n",
              "      <td>72.340000</td>\n",
              "      <td>67.990000</td>\n",
              "      <td>62.990000</td>\n",
              "      <td>62.320000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9e756ab9-9be0-4a1e-983e-2a4e726dfadb')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9e756ab9-9be0-4a1e-983e-2a4e726dfadb button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9e756ab9-9be0-4a1e-983e-2a4e726dfadb');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "       0        1       2      3           4           5          6  \\\n",
              "0    7A5   77.970  72.450  58.93   72.170000   83.230000  82.660000   \n",
              "1   A1BG  100.950  94.765  92.13  102.480000  103.545000  87.490000   \n",
              "2   A1CF   79.590  78.910  74.00   78.846667   76.203333  83.873333   \n",
              "3  A26A1   73.445  74.870  78.72   79.495000   84.435000  86.385000   \n",
              "4  A26B1   70.860  65.470  94.37   83.630000   81.270000  72.340000   \n",
              "\n",
              "           7           8          9  \n",
              "0  73.400000   76.410000  79.530000  \n",
              "1  93.755000  103.955000  91.075000  \n",
              "2  73.676667   77.716667  81.606667  \n",
              "3  87.555000   96.725000  82.015000  \n",
              "4  67.990000   62.990000  62.320000  "
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O9gl1p7jY4d-",
        "outputId": "d06b11d1-6d21-4839-9d2f-613abecf6821"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(25158, 10)"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1_trans=df1.transpose()\n",
        "df1_trans.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "id": "-JkJ1vNKNcbS",
        "outputId": "181c18f5-b66f-4cb3-c71f-e59c03414138"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-129520a3-4452-46a3-a93c-57e9dbdcd7a3\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>...</th>\n",
              "      <th>25148</th>\n",
              "      <th>25149</th>\n",
              "      <th>25150</th>\n",
              "      <th>25151</th>\n",
              "      <th>25152</th>\n",
              "      <th>25153</th>\n",
              "      <th>25154</th>\n",
              "      <th>25155</th>\n",
              "      <th>25156</th>\n",
              "      <th>25157</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7A5</td>\n",
              "      <td>A1BG</td>\n",
              "      <td>A1CF</td>\n",
              "      <td>A26A1</td>\n",
              "      <td>A26B1</td>\n",
              "      <td>A26C1B</td>\n",
              "      <td>A26C3</td>\n",
              "      <td>A2BP1</td>\n",
              "      <td>A2M</td>\n",
              "      <td>A2ML1</td>\n",
              "      <td>...</td>\n",
              "      <td>ZWILCH</td>\n",
              "      <td>ZWINT</td>\n",
              "      <td>ZXDA</td>\n",
              "      <td>ZXDB</td>\n",
              "      <td>ZXDC</td>\n",
              "      <td>ZYG11A</td>\n",
              "      <td>ZYG11B</td>\n",
              "      <td>ZYX</td>\n",
              "      <td>ZZEF1</td>\n",
              "      <td>ZZZ3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>77.97</td>\n",
              "      <td>100.95</td>\n",
              "      <td>79.59</td>\n",
              "      <td>73.445</td>\n",
              "      <td>70.86</td>\n",
              "      <td>101.03</td>\n",
              "      <td>88.566667</td>\n",
              "      <td>74.27</td>\n",
              "      <td>58.2</td>\n",
              "      <td>130.51</td>\n",
              "      <td>...</td>\n",
              "      <td>820.08</td>\n",
              "      <td>667.5975</td>\n",
              "      <td>83.426</td>\n",
              "      <td>100.33</td>\n",
              "      <td>164.34</td>\n",
              "      <td>79.365</td>\n",
              "      <td>1240.98</td>\n",
              "      <td>1592.04</td>\n",
              "      <td>291.97</td>\n",
              "      <td>704.085</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>72.45</td>\n",
              "      <td>94.765</td>\n",
              "      <td>78.91</td>\n",
              "      <td>74.87</td>\n",
              "      <td>65.47</td>\n",
              "      <td>91.25</td>\n",
              "      <td>88.33</td>\n",
              "      <td>78.5025</td>\n",
              "      <td>60.9</td>\n",
              "      <td>125.94</td>\n",
              "      <td>...</td>\n",
              "      <td>883.04</td>\n",
              "      <td>579.8725</td>\n",
              "      <td>77.004</td>\n",
              "      <td>99.8</td>\n",
              "      <td>175.005</td>\n",
              "      <td>78.735</td>\n",
              "      <td>1498.08</td>\n",
              "      <td>1317.715</td>\n",
              "      <td>329.25</td>\n",
              "      <td>741.595</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>58.93</td>\n",
              "      <td>92.13</td>\n",
              "      <td>74.0</td>\n",
              "      <td>78.72</td>\n",
              "      <td>94.37</td>\n",
              "      <td>102.87</td>\n",
              "      <td>94.073333</td>\n",
              "      <td>71.3275</td>\n",
              "      <td>82.81</td>\n",
              "      <td>105.17</td>\n",
              "      <td>...</td>\n",
              "      <td>775.413333</td>\n",
              "      <td>646.46</td>\n",
              "      <td>71.566</td>\n",
              "      <td>97.21</td>\n",
              "      <td>169.755</td>\n",
              "      <td>73.645</td>\n",
              "      <td>1236.05</td>\n",
              "      <td>1420.295</td>\n",
              "      <td>276.98</td>\n",
              "      <td>670.59</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>72.17</td>\n",
              "      <td>102.48</td>\n",
              "      <td>78.846667</td>\n",
              "      <td>79.495</td>\n",
              "      <td>83.63</td>\n",
              "      <td>95.26</td>\n",
              "      <td>97.07</td>\n",
              "      <td>70.62</td>\n",
              "      <td>67.48</td>\n",
              "      <td>182.25</td>\n",
              "      <td>...</td>\n",
              "      <td>749.94</td>\n",
              "      <td>508.2</td>\n",
              "      <td>76.794</td>\n",
              "      <td>103.82</td>\n",
              "      <td>163.41</td>\n",
              "      <td>65.835</td>\n",
              "      <td>1202.04</td>\n",
              "      <td>1356.15</td>\n",
              "      <td>282.77</td>\n",
              "      <td>718.465</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 25158 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-129520a3-4452-46a3-a93c-57e9dbdcd7a3')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-129520a3-4452-46a3-a93c-57e9dbdcd7a3 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-129520a3-4452-46a3-a93c-57e9dbdcd7a3');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   0       1          2       3      4       5          6        7      8      \\\n",
              "0    7A5    A1BG       A1CF   A26A1  A26B1  A26C1B      A26C3    A2BP1    A2M   \n",
              "1  77.97  100.95      79.59  73.445  70.86  101.03  88.566667    74.27   58.2   \n",
              "2  72.45  94.765      78.91   74.87  65.47   91.25      88.33  78.5025   60.9   \n",
              "3  58.93   92.13       74.0   78.72  94.37  102.87  94.073333  71.3275  82.81   \n",
              "4  72.17  102.48  78.846667  79.495  83.63   95.26      97.07    70.62  67.48   \n",
              "\n",
              "    9      ...       25148     25149   25150   25151    25152   25153  \\\n",
              "0   A2ML1  ...      ZWILCH     ZWINT    ZXDA    ZXDB     ZXDC  ZYG11A   \n",
              "1  130.51  ...      820.08  667.5975  83.426  100.33   164.34  79.365   \n",
              "2  125.94  ...      883.04  579.8725  77.004    99.8  175.005  78.735   \n",
              "3  105.17  ...  775.413333    646.46  71.566   97.21  169.755  73.645   \n",
              "4  182.25  ...      749.94     508.2  76.794  103.82   163.41  65.835   \n",
              "\n",
              "     25154     25155   25156    25157  \n",
              "0   ZYG11B       ZYX   ZZEF1     ZZZ3  \n",
              "1  1240.98   1592.04  291.97  704.085  \n",
              "2  1498.08  1317.715  329.25  741.595  \n",
              "3  1236.05  1420.295  276.98   670.59  \n",
              "4  1202.04   1356.15  282.77  718.465  \n",
              "\n",
              "[5 rows x 25158 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Converting first row(gene names) as header of the Dataframe\n"
      ],
      "metadata": {
        "id": "hvRTi9fvPKlE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df1_modified = df1_trans\n",
        "df1_modified.columns = df1_modified.iloc[0]\n",
        "df1_modified = df1_modified.drop(0).reset_index(drop=True)\n",
        "df1_modified.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "id": "7UpGmJ3TNd-p",
        "outputId": "c6a5683c-9162-4fbe-d3ad-e48c924c7bd3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-ce5862d8-2451-44e2-839a-18bca9b9f6c1\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>7A5</th>\n",
              "      <th>A1BG</th>\n",
              "      <th>A1CF</th>\n",
              "      <th>A26A1</th>\n",
              "      <th>A26B1</th>\n",
              "      <th>A26C1B</th>\n",
              "      <th>A26C3</th>\n",
              "      <th>A2BP1</th>\n",
              "      <th>A2M</th>\n",
              "      <th>A2ML1</th>\n",
              "      <th>...</th>\n",
              "      <th>ZWILCH</th>\n",
              "      <th>ZWINT</th>\n",
              "      <th>ZXDA</th>\n",
              "      <th>ZXDB</th>\n",
              "      <th>ZXDC</th>\n",
              "      <th>ZYG11A</th>\n",
              "      <th>ZYG11B</th>\n",
              "      <th>ZYX</th>\n",
              "      <th>ZZEF1</th>\n",
              "      <th>ZZZ3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>77.97</td>\n",
              "      <td>100.95</td>\n",
              "      <td>79.59</td>\n",
              "      <td>73.445</td>\n",
              "      <td>70.86</td>\n",
              "      <td>101.03</td>\n",
              "      <td>88.566667</td>\n",
              "      <td>74.27</td>\n",
              "      <td>58.2</td>\n",
              "      <td>130.51</td>\n",
              "      <td>...</td>\n",
              "      <td>820.08</td>\n",
              "      <td>667.5975</td>\n",
              "      <td>83.426</td>\n",
              "      <td>100.33</td>\n",
              "      <td>164.34</td>\n",
              "      <td>79.365</td>\n",
              "      <td>1240.98</td>\n",
              "      <td>1592.04</td>\n",
              "      <td>291.97</td>\n",
              "      <td>704.085</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>72.45</td>\n",
              "      <td>94.765</td>\n",
              "      <td>78.91</td>\n",
              "      <td>74.87</td>\n",
              "      <td>65.47</td>\n",
              "      <td>91.25</td>\n",
              "      <td>88.33</td>\n",
              "      <td>78.5025</td>\n",
              "      <td>60.9</td>\n",
              "      <td>125.94</td>\n",
              "      <td>...</td>\n",
              "      <td>883.04</td>\n",
              "      <td>579.8725</td>\n",
              "      <td>77.004</td>\n",
              "      <td>99.8</td>\n",
              "      <td>175.005</td>\n",
              "      <td>78.735</td>\n",
              "      <td>1498.08</td>\n",
              "      <td>1317.715</td>\n",
              "      <td>329.25</td>\n",
              "      <td>741.595</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>58.93</td>\n",
              "      <td>92.13</td>\n",
              "      <td>74.0</td>\n",
              "      <td>78.72</td>\n",
              "      <td>94.37</td>\n",
              "      <td>102.87</td>\n",
              "      <td>94.073333</td>\n",
              "      <td>71.3275</td>\n",
              "      <td>82.81</td>\n",
              "      <td>105.17</td>\n",
              "      <td>...</td>\n",
              "      <td>775.413333</td>\n",
              "      <td>646.46</td>\n",
              "      <td>71.566</td>\n",
              "      <td>97.21</td>\n",
              "      <td>169.755</td>\n",
              "      <td>73.645</td>\n",
              "      <td>1236.05</td>\n",
              "      <td>1420.295</td>\n",
              "      <td>276.98</td>\n",
              "      <td>670.59</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>72.17</td>\n",
              "      <td>102.48</td>\n",
              "      <td>78.846667</td>\n",
              "      <td>79.495</td>\n",
              "      <td>83.63</td>\n",
              "      <td>95.26</td>\n",
              "      <td>97.07</td>\n",
              "      <td>70.62</td>\n",
              "      <td>67.48</td>\n",
              "      <td>182.25</td>\n",
              "      <td>...</td>\n",
              "      <td>749.94</td>\n",
              "      <td>508.2</td>\n",
              "      <td>76.794</td>\n",
              "      <td>103.82</td>\n",
              "      <td>163.41</td>\n",
              "      <td>65.835</td>\n",
              "      <td>1202.04</td>\n",
              "      <td>1356.15</td>\n",
              "      <td>282.77</td>\n",
              "      <td>718.465</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>83.23</td>\n",
              "      <td>103.545</td>\n",
              "      <td>76.203333</td>\n",
              "      <td>84.435</td>\n",
              "      <td>81.27</td>\n",
              "      <td>105.32</td>\n",
              "      <td>94.013333</td>\n",
              "      <td>79.2825</td>\n",
              "      <td>63.74</td>\n",
              "      <td>189.27</td>\n",
              "      <td>...</td>\n",
              "      <td>758.883333</td>\n",
              "      <td>434.565</td>\n",
              "      <td>82.176</td>\n",
              "      <td>104.67</td>\n",
              "      <td>159.89</td>\n",
              "      <td>75.59</td>\n",
              "      <td>1367.25</td>\n",
              "      <td>1372.515</td>\n",
              "      <td>267.33</td>\n",
              "      <td>618.59</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>82.66</td>\n",
              "      <td>87.49</td>\n",
              "      <td>83.873333</td>\n",
              "      <td>86.385</td>\n",
              "      <td>72.34</td>\n",
              "      <td>124.91</td>\n",
              "      <td>96.173333</td>\n",
              "      <td>75.025</td>\n",
              "      <td>69.12</td>\n",
              "      <td>203.43</td>\n",
              "      <td>...</td>\n",
              "      <td>724.83</td>\n",
              "      <td>580.3525</td>\n",
              "      <td>74.278</td>\n",
              "      <td>102.74</td>\n",
              "      <td>198.31</td>\n",
              "      <td>72.475</td>\n",
              "      <td>1993.12</td>\n",
              "      <td>1343.165</td>\n",
              "      <td>285.7</td>\n",
              "      <td>859.51</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>73.4</td>\n",
              "      <td>93.755</td>\n",
              "      <td>73.676667</td>\n",
              "      <td>87.555</td>\n",
              "      <td>67.99</td>\n",
              "      <td>95.48</td>\n",
              "      <td>85.886667</td>\n",
              "      <td>77.955</td>\n",
              "      <td>74.69</td>\n",
              "      <td>333.78</td>\n",
              "      <td>...</td>\n",
              "      <td>535.01</td>\n",
              "      <td>321.0525</td>\n",
              "      <td>78.598</td>\n",
              "      <td>106.99</td>\n",
              "      <td>159.695</td>\n",
              "      <td>82.08</td>\n",
              "      <td>1449.37</td>\n",
              "      <td>1371.775</td>\n",
              "      <td>375.63</td>\n",
              "      <td>744.59</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>76.41</td>\n",
              "      <td>103.955</td>\n",
              "      <td>77.716667</td>\n",
              "      <td>96.725</td>\n",
              "      <td>62.99</td>\n",
              "      <td>105.84</td>\n",
              "      <td>95.466667</td>\n",
              "      <td>74.025</td>\n",
              "      <td>69.87</td>\n",
              "      <td>384.45</td>\n",
              "      <td>...</td>\n",
              "      <td>519.34</td>\n",
              "      <td>325.41</td>\n",
              "      <td>81.03</td>\n",
              "      <td>92.94</td>\n",
              "      <td>161.705</td>\n",
              "      <td>73.84</td>\n",
              "      <td>1401.76</td>\n",
              "      <td>1356.275</td>\n",
              "      <td>315.66</td>\n",
              "      <td>720.885</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>79.53</td>\n",
              "      <td>91.075</td>\n",
              "      <td>81.606667</td>\n",
              "      <td>82.015</td>\n",
              "      <td>62.32</td>\n",
              "      <td>104.75</td>\n",
              "      <td>87.56</td>\n",
              "      <td>76.205</td>\n",
              "      <td>72.02</td>\n",
              "      <td>299.56</td>\n",
              "      <td>...</td>\n",
              "      <td>595.243333</td>\n",
              "      <td>407.58</td>\n",
              "      <td>82.066</td>\n",
              "      <td>103.79</td>\n",
              "      <td>158.01</td>\n",
              "      <td>78.66</td>\n",
              "      <td>1337.73</td>\n",
              "      <td>1311.84</td>\n",
              "      <td>308.64</td>\n",
              "      <td>664.695</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>9 rows × 25158 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ce5862d8-2451-44e2-839a-18bca9b9f6c1')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-ce5862d8-2451-44e2-839a-18bca9b9f6c1 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-ce5862d8-2451-44e2-839a-18bca9b9f6c1');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "0    7A5     A1BG       A1CF   A26A1  A26B1  A26C1B      A26C3    A2BP1  \\\n",
              "0  77.97   100.95      79.59  73.445  70.86  101.03  88.566667    74.27   \n",
              "1  72.45   94.765      78.91   74.87  65.47   91.25      88.33  78.5025   \n",
              "2  58.93    92.13       74.0   78.72  94.37  102.87  94.073333  71.3275   \n",
              "3  72.17   102.48  78.846667  79.495  83.63   95.26      97.07    70.62   \n",
              "4  83.23  103.545  76.203333  84.435  81.27  105.32  94.013333  79.2825   \n",
              "5  82.66    87.49  83.873333  86.385  72.34  124.91  96.173333   75.025   \n",
              "6   73.4   93.755  73.676667  87.555  67.99   95.48  85.886667   77.955   \n",
              "7  76.41  103.955  77.716667  96.725  62.99  105.84  95.466667   74.025   \n",
              "8  79.53   91.075  81.606667  82.015  62.32  104.75      87.56   76.205   \n",
              "\n",
              "0    A2M   A2ML1  ...      ZWILCH     ZWINT    ZXDA    ZXDB     ZXDC  ZYG11A  \\\n",
              "0   58.2  130.51  ...      820.08  667.5975  83.426  100.33   164.34  79.365   \n",
              "1   60.9  125.94  ...      883.04  579.8725  77.004    99.8  175.005  78.735   \n",
              "2  82.81  105.17  ...  775.413333    646.46  71.566   97.21  169.755  73.645   \n",
              "3  67.48  182.25  ...      749.94     508.2  76.794  103.82   163.41  65.835   \n",
              "4  63.74  189.27  ...  758.883333   434.565  82.176  104.67   159.89   75.59   \n",
              "5  69.12  203.43  ...      724.83  580.3525  74.278  102.74   198.31  72.475   \n",
              "6  74.69  333.78  ...      535.01  321.0525  78.598  106.99  159.695   82.08   \n",
              "7  69.87  384.45  ...      519.34    325.41   81.03   92.94  161.705   73.84   \n",
              "8  72.02  299.56  ...  595.243333    407.58  82.066  103.79   158.01   78.66   \n",
              "\n",
              "0   ZYG11B       ZYX   ZZEF1     ZZZ3  \n",
              "0  1240.98   1592.04  291.97  704.085  \n",
              "1  1498.08  1317.715  329.25  741.595  \n",
              "2  1236.05  1420.295  276.98   670.59  \n",
              "3  1202.04   1356.15  282.77  718.465  \n",
              "4  1367.25  1372.515  267.33   618.59  \n",
              "5  1993.12  1343.165   285.7   859.51  \n",
              "6  1449.37  1371.775  375.63   744.59  \n",
              "7  1401.76  1356.275  315.66  720.885  \n",
              "8  1337.73   1311.84  308.64  664.695  \n",
              "\n",
              "[9 rows x 25158 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "correlation_matrix_df1 = df1_modified.astype('float64').corr(method='pearson')\n",
        "correlation_matrix_df1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "id": "H2iedObCPmBR",
        "outputId": "9f722785-64ad-42ef-cecc-6f366334bc82"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-3fa6f32d-e88b-410e-9ed5-4d009e04ca5f\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>7A5</th>\n",
              "      <th>A1BG</th>\n",
              "      <th>A1CF</th>\n",
              "      <th>A26A1</th>\n",
              "      <th>A26B1</th>\n",
              "      <th>A26C1B</th>\n",
              "      <th>A26C3</th>\n",
              "      <th>A2BP1</th>\n",
              "      <th>A2M</th>\n",
              "      <th>A2ML1</th>\n",
              "      <th>...</th>\n",
              "      <th>ZWILCH</th>\n",
              "      <th>ZWINT</th>\n",
              "      <th>ZXDA</th>\n",
              "      <th>ZXDB</th>\n",
              "      <th>ZXDC</th>\n",
              "      <th>ZYG11A</th>\n",
              "      <th>ZYG11B</th>\n",
              "      <th>ZYX</th>\n",
              "      <th>ZZEF1</th>\n",
              "      <th>ZZZ3</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>7A5</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.138373</td>\n",
              "      <td>0.595808</td>\n",
              "      <td>0.277762</td>\n",
              "      <td>-0.554253</td>\n",
              "      <td>0.453229</td>\n",
              "      <td>-0.020882</td>\n",
              "      <td>0.527642</td>\n",
              "      <td>-0.604548</td>\n",
              "      <td>0.335648</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.168387</td>\n",
              "      <td>-0.308177</td>\n",
              "      <td>0.646418</td>\n",
              "      <td>0.349870</td>\n",
              "      <td>0.108885</td>\n",
              "      <td>0.137892</td>\n",
              "      <td>0.451809</td>\n",
              "      <td>-0.093787</td>\n",
              "      <td>-0.063354</td>\n",
              "      <td>0.163386</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>A1BG</th>\n",
              "      <td>0.138373</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.292244</td>\n",
              "      <td>0.127284</td>\n",
              "      <td>0.064465</td>\n",
              "      <td>-0.383619</td>\n",
              "      <td>0.266521</td>\n",
              "      <td>-0.079191</td>\n",
              "      <td>-0.455862</td>\n",
              "      <td>0.094529</td>\n",
              "      <td>...</td>\n",
              "      <td>0.006394</td>\n",
              "      <td>-0.228833</td>\n",
              "      <td>0.549178</td>\n",
              "      <td>-0.234830</td>\n",
              "      <td>-0.585902</td>\n",
              "      <td>-0.244018</td>\n",
              "      <td>-0.573007</td>\n",
              "      <td>0.293816</td>\n",
              "      <td>-0.203913</td>\n",
              "      <td>-0.491631</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>A1CF</th>\n",
              "      <td>0.595808</td>\n",
              "      <td>-0.292244</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.090909</td>\n",
              "      <td>-0.417886</td>\n",
              "      <td>0.550957</td>\n",
              "      <td>0.156003</td>\n",
              "      <td>-0.040424</td>\n",
              "      <td>-0.423848</td>\n",
              "      <td>-0.032947</td>\n",
              "      <td>...</td>\n",
              "      <td>0.149128</td>\n",
              "      <td>0.242169</td>\n",
              "      <td>0.121540</td>\n",
              "      <td>0.039904</td>\n",
              "      <td>0.546780</td>\n",
              "      <td>-0.204338</td>\n",
              "      <td>0.531679</td>\n",
              "      <td>-0.138312</td>\n",
              "      <td>-0.273059</td>\n",
              "      <td>0.497984</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>A26A1</th>\n",
              "      <td>0.277762</td>\n",
              "      <td>0.127284</td>\n",
              "      <td>-0.090909</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.299176</td>\n",
              "      <td>0.399609</td>\n",
              "      <td>0.314033</td>\n",
              "      <td>0.088798</td>\n",
              "      <td>0.332884</td>\n",
              "      <td>0.848810</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.829109</td>\n",
              "      <td>-0.779537</td>\n",
              "      <td>0.102809</td>\n",
              "      <td>-0.207707</td>\n",
              "      <td>-0.051802</td>\n",
              "      <td>-0.098013</td>\n",
              "      <td>0.323427</td>\n",
              "      <td>-0.417663</td>\n",
              "      <td>0.243488</td>\n",
              "      <td>0.177161</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>A26B1</th>\n",
              "      <td>-0.554253</td>\n",
              "      <td>0.064465</td>\n",
              "      <td>-0.417886</td>\n",
              "      <td>-0.299176</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.003636</td>\n",
              "      <td>0.516339</td>\n",
              "      <td>-0.505226</td>\n",
              "      <td>0.388877</td>\n",
              "      <td>-0.610701</td>\n",
              "      <td>...</td>\n",
              "      <td>0.425064</td>\n",
              "      <td>0.467263</td>\n",
              "      <td>-0.567524</td>\n",
              "      <td>0.021419</td>\n",
              "      <td>0.062952</td>\n",
              "      <td>-0.531443</td>\n",
              "      <td>-0.305312</td>\n",
              "      <td>0.215142</td>\n",
              "      <td>-0.616264</td>\n",
              "      <td>-0.283356</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>ZYG11A</th>\n",
              "      <td>0.137892</td>\n",
              "      <td>-0.244018</td>\n",
              "      <td>-0.204338</td>\n",
              "      <td>-0.098013</td>\n",
              "      <td>-0.531443</td>\n",
              "      <td>-0.226751</td>\n",
              "      <td>-0.909887</td>\n",
              "      <td>0.700004</td>\n",
              "      <td>-0.117762</td>\n",
              "      <td>0.183106</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.153198</td>\n",
              "      <td>-0.171500</td>\n",
              "      <td>0.415473</td>\n",
              "      <td>0.178356</td>\n",
              "      <td>-0.241857</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.025672</td>\n",
              "      <td>0.198541</td>\n",
              "      <td>0.625636</td>\n",
              "      <td>-0.125455</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZYG11B</th>\n",
              "      <td>0.451809</td>\n",
              "      <td>-0.573007</td>\n",
              "      <td>0.531679</td>\n",
              "      <td>0.323427</td>\n",
              "      <td>-0.305312</td>\n",
              "      <td>0.707554</td>\n",
              "      <td>0.152271</td>\n",
              "      <td>0.315315</td>\n",
              "      <td>-0.047067</td>\n",
              "      <td>0.125100</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.054775</td>\n",
              "      <td>0.009426</td>\n",
              "      <td>-0.300206</td>\n",
              "      <td>0.124443</td>\n",
              "      <td>0.840857</td>\n",
              "      <td>0.025672</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.367951</td>\n",
              "      <td>0.104187</td>\n",
              "      <td>0.807207</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZYX</th>\n",
              "      <td>-0.093787</td>\n",
              "      <td>0.293816</td>\n",
              "      <td>-0.138312</td>\n",
              "      <td>-0.417663</td>\n",
              "      <td>0.215142</td>\n",
              "      <td>-0.068962</td>\n",
              "      <td>-0.149296</td>\n",
              "      <td>-0.259771</td>\n",
              "      <td>-0.281568</td>\n",
              "      <td>-0.388353</td>\n",
              "      <td>...</td>\n",
              "      <td>0.313277</td>\n",
              "      <td>0.513795</td>\n",
              "      <td>0.265815</td>\n",
              "      <td>-0.148844</td>\n",
              "      <td>-0.137953</td>\n",
              "      <td>0.198541</td>\n",
              "      <td>-0.367951</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.217435</td>\n",
              "      <td>-0.161856</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZZEF1</th>\n",
              "      <td>-0.063354</td>\n",
              "      <td>-0.203913</td>\n",
              "      <td>-0.273059</td>\n",
              "      <td>0.243488</td>\n",
              "      <td>-0.616264</td>\n",
              "      <td>-0.419271</td>\n",
              "      <td>-0.686739</td>\n",
              "      <td>0.415067</td>\n",
              "      <td>0.103594</td>\n",
              "      <td>0.544880</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.495764</td>\n",
              "      <td>-0.527341</td>\n",
              "      <td>0.114296</td>\n",
              "      <td>0.176205</td>\n",
              "      <td>-0.207534</td>\n",
              "      <td>0.625636</td>\n",
              "      <td>0.104187</td>\n",
              "      <td>-0.217435</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.264849</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZZZ3</th>\n",
              "      <td>0.163386</td>\n",
              "      <td>-0.491631</td>\n",
              "      <td>0.497984</td>\n",
              "      <td>0.177161</td>\n",
              "      <td>-0.283356</td>\n",
              "      <td>0.445653</td>\n",
              "      <td>0.146686</td>\n",
              "      <td>-0.085720</td>\n",
              "      <td>-0.041782</td>\n",
              "      <td>0.081452</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.035349</td>\n",
              "      <td>0.142512</td>\n",
              "      <td>-0.425282</td>\n",
              "      <td>0.016205</td>\n",
              "      <td>0.808118</td>\n",
              "      <td>-0.125455</td>\n",
              "      <td>0.807207</td>\n",
              "      <td>-0.161856</td>\n",
              "      <td>0.264849</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>25158 rows × 25158 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3fa6f32d-e88b-410e-9ed5-4d009e04ca5f')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-3fa6f32d-e88b-410e-9ed5-4d009e04ca5f button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-3fa6f32d-e88b-410e-9ed5-4d009e04ca5f');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "0            7A5      A1BG      A1CF     A26A1     A26B1    A26C1B     A26C3  \\\n",
              "0                                                                              \n",
              "7A5     1.000000  0.138373  0.595808  0.277762 -0.554253  0.453229 -0.020882   \n",
              "A1BG    0.138373  1.000000 -0.292244  0.127284  0.064465 -0.383619  0.266521   \n",
              "A1CF    0.595808 -0.292244  1.000000 -0.090909 -0.417886  0.550957  0.156003   \n",
              "A26A1   0.277762  0.127284 -0.090909  1.000000 -0.299176  0.399609  0.314033   \n",
              "A26B1  -0.554253  0.064465 -0.417886 -0.299176  1.000000  0.003636  0.516339   \n",
              "...          ...       ...       ...       ...       ...       ...       ...   \n",
              "ZYG11A  0.137892 -0.244018 -0.204338 -0.098013 -0.531443 -0.226751 -0.909887   \n",
              "ZYG11B  0.451809 -0.573007  0.531679  0.323427 -0.305312  0.707554  0.152271   \n",
              "ZYX    -0.093787  0.293816 -0.138312 -0.417663  0.215142 -0.068962 -0.149296   \n",
              "ZZEF1  -0.063354 -0.203913 -0.273059  0.243488 -0.616264 -0.419271 -0.686739   \n",
              "ZZZ3    0.163386 -0.491631  0.497984  0.177161 -0.283356  0.445653  0.146686   \n",
              "\n",
              "0          A2BP1       A2M     A2ML1  ...    ZWILCH     ZWINT      ZXDA  \\\n",
              "0                                     ...                                 \n",
              "7A5     0.527642 -0.604548  0.335648  ... -0.168387 -0.308177  0.646418   \n",
              "A1BG   -0.079191 -0.455862  0.094529  ...  0.006394 -0.228833  0.549178   \n",
              "A1CF   -0.040424 -0.423848 -0.032947  ...  0.149128  0.242169  0.121540   \n",
              "A26A1   0.088798  0.332884  0.848810  ... -0.829109 -0.779537  0.102809   \n",
              "A26B1  -0.505226  0.388877 -0.610701  ...  0.425064  0.467263 -0.567524   \n",
              "...          ...       ...       ...  ...       ...       ...       ...   \n",
              "ZYG11A  0.700004 -0.117762  0.183106  ... -0.153198 -0.171500  0.415473   \n",
              "ZYG11B  0.315315 -0.047067  0.125100  ... -0.054775  0.009426 -0.300206   \n",
              "ZYX    -0.259771 -0.281568 -0.388353  ...  0.313277  0.513795  0.265815   \n",
              "ZZEF1   0.415067  0.103594  0.544880  ... -0.495764 -0.527341  0.114296   \n",
              "ZZZ3   -0.085720 -0.041782  0.081452  ... -0.035349  0.142512 -0.425282   \n",
              "\n",
              "0           ZXDB      ZXDC    ZYG11A    ZYG11B       ZYX     ZZEF1      ZZZ3  \n",
              "0                                                                             \n",
              "7A5     0.349870  0.108885  0.137892  0.451809 -0.093787 -0.063354  0.163386  \n",
              "A1BG   -0.234830 -0.585902 -0.244018 -0.573007  0.293816 -0.203913 -0.491631  \n",
              "A1CF    0.039904  0.546780 -0.204338  0.531679 -0.138312 -0.273059  0.497984  \n",
              "A26A1  -0.207707 -0.051802 -0.098013  0.323427 -0.417663  0.243488  0.177161  \n",
              "A26B1   0.021419  0.062952 -0.531443 -0.305312  0.215142 -0.616264 -0.283356  \n",
              "...          ...       ...       ...       ...       ...       ...       ...  \n",
              "ZYG11A  0.178356 -0.241857  1.000000  0.025672  0.198541  0.625636 -0.125455  \n",
              "ZYG11B  0.124443  0.840857  0.025672  1.000000 -0.367951  0.104187  0.807207  \n",
              "ZYX    -0.148844 -0.137953  0.198541 -0.367951  1.000000 -0.217435 -0.161856  \n",
              "ZZEF1   0.176205 -0.207534  0.625636  0.104187 -0.217435  1.000000  0.264849  \n",
              "ZZZ3    0.016205  0.808118 -0.125455  0.807207 -0.161856  0.264849  1.000000  \n",
              "\n",
              "[25158 rows x 25158 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "croppedDf = correlation_matrix_df1.iloc[:30, :30]\n",
        "croppedDf.index.name = None\n",
        "croppedDf.columns.name = None"
      ],
      "metadata": {
        "id": "9qJBpWCRh8kp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "links = croppedDf.stack()\n",
        "links = links.reset_index()\n",
        "\n",
        "links.columns = ['Gene1', 'Gene2', 'value']\n",
        " \n",
        "# Keep only correlation over a threshold and remove self correlation (cor(A,A)=1)\n",
        "links_filtered=links.loc[ (links['value'] > 0.8) & (links['Gene1'] != links['Gene2']) ]"
      ],
      "metadata": {
        "id": "7IVLUpv3iAoa"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Build your graph\n",
        "G=nx.from_pandas_edgelist(links_filtered, 'Gene1', 'Gene2')\n",
        " \n",
        "# Plot the network:\n",
        "nx.draw(G, with_labels=True, node_color='orange', node_size=200, edge_color='black', linewidths=1, font_size=12)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 319
        },
        "id": "ecU9DfktZDiA",
        "outputId": "24c13692-ab89-4a05-b8af-4a34f992df9e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "l45ur5-QTAFi"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}