VCFs_filtering.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "mount_file_id": "1EzaH9BUvqBSJjZz-OlU4giZ-afusRU1X",
      "authorship_tag": "ABX9TyOmobo0h3DJM0ZOsP5e4Rd0",
      "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/atomikkus/vcf_filteration/blob/main/VCFs_filtering.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": "rgtZcdCmDOGT"
      },
      "outputs": [],
      "source": [
        "import warnings\n",
        "warnings.simplefilter(action='ignore')\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import os\n",
        "import glob2\n",
        "import re\n",
        "import progressbar\n",
        "import time\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive', force_remount=True)\n",
        "\n",
        "path= \"/content/drive/MyDrive/GBC/s_filtered/\" #Importing all csv files of samples"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0RGlsIYzDret",
        "outputId": "763f3b3e-1b66-4544-c05c-98d9e3bad40d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "files= glob2.glob(os.path.join(path, \"*.csv\"))\n",
        "ce_files = []\n",
        "abs_files =[]\n",
        "\n",
        "for i in files:\n",
        "  if '-SE8-' in i or '-SSE-' in i or 'SSE' in i or 'SE8' in i or '-B-' in i:\n",
        "    abs_files.append(i)\n",
        "  else:\n",
        "    ce_files.append(i)"
      ],
      "metadata": {
        "id": "-73qlX3mDrd3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ce_files = abs_files"
      ],
      "metadata": {
        "id": "KYkDp5-8T3ir"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ce_files"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VvgxymygxdcA",
        "outputId": "3bba33ef-0c4e-43f1-de7e-8a625344ce4e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['/content/drive/MyDrive/GBC/s_filtered/VIHE-F-SE8-CL-S79-S1-L001_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/VIAC-F-SE8-S12_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/VI2C-F2-SE8-CL-RES-S8_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/VIBK-F-SE8-S20_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WB2H-F-Res-D-SE8-S3_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WCUF-F-Res-D-SE8-CL-S218-L004_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/VIWA-Z-SE8-CL-RES-S16_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/VLSA-F-Res-D-L2-SE8-S5_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/VIWB-Z2-SE8-CL-RES-S29-L002-S1-L001_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WEVQ-F-Res-D-SE8-CL-S37_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WDFF-F1F2-Res-D-L2-SE8-CL_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WE4R-F1F2-Res-D-L2-SE8-CL_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WCUG-F-Res-D-SE8-CL-S3_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WEJT-F1-Res-D-SE8-CL-S29_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WEJP-F-Res-D-SE8-CL_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WLRAH-F-Res-D-SE8-S220-L004_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WEWK-F-Res-D-SE8-CL-S72_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WJ7A6-F-D-SE8-S1_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WLSA9-Z-Res-D-SE8-S226-L004_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WKPAM-Z-Res-D-SE8-S1_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/WLTAC-F1-D-SE8-S1_filtered.csv',\n",
              " '/content/drive/MyDrive/GBC/s_filtered/XACAH-F-D-SE8-S120-L004_filtered.csv']"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# mkdir /content/drive/MyDrive/GBC/s_filtered"
      ],
      "metadata": {
        "id": "EdbfVfPz42gw"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "for i in progressbar.progressbar(range(len(ce_files))):\n",
        "  df = pd.read_csv(ce_files[i]).drop_duplicates('IGV_link')\n",
        "  sp1=re.split(r'/|\\\\',ce_files[i])[-1]\n",
        "  col_n=sp1.split('_')[0]\n",
        "  df[f'{col_n}:DP'] = df[f'{col_n}:DP'].replace('.', '0').astype('float')\n",
        "  df = df[df['FILTER']=='PASS']\n",
        "\n",
        "  ## Pop frequency\n",
        "  columns_to_process = ['esp6500siv2_all', 'ExAC_ALL', 'ExAC_SAS', 'AF', 'AF_sas', '1000g2015aug_all', '1000g2015aug_all', '1000g2015aug_SAS', 'Ref_Depth']\n",
        "\n",
        "  for column in columns_to_process:\n",
        "    df[column] = df[column].replace('.', '0').astype('float')\n",
        "\n",
        "  df = df[df['esp6500siv2_all']<= 0.01]\n",
        "  df = df[df['ExAC_ALL']<= 0.01]\n",
        "  df = df[df['ExAC_SAS']<= 0.01]\n",
        "  df = df[df['AF']<=0.01]\n",
        "  df = df[df['AF_sas']<= 0.01]\n",
        "  df = df[df['1000g2015aug_all']<= 0.01]\n",
        "  df = df[df['1000g2015aug_all']<= 0.01]\n",
        "  df = df[df['1000g2015aug_SAS']<= 0.01]\n",
        "  df = df[df['Ref_Depth']>=2]\n",
        "  df = df[df['ExonicFunc.ensGene']!='synonymous SNV']\n",
        "  df = df[~df['InterVar_automated'].str.contains('benign', case=False)]\n",
        "  df.to_csv(f'/content/drive/MyDrive/GBC/s_filtered/{col_n}_filtered.csv', index=False)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PypCi6o0DZWr",
        "outputId": "2cfc784d-443f-41c6-ede6-b98165fe037f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100% (22 of 22) |########################| Elapsed Time: 0:00:14 Time:  0:00:14\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Compose the binary file"
      ],
      "metadata": {
        "id": "1vSisqVNzica"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "my_df=[]\n",
        "\n",
        "\n",
        "\n",
        "for i in progressbar.progressbar(range(len(ce_files))):\n",
        "  df = pd.read_csv(ce_files[i]).drop_duplicates()\n",
        "  sp1=re.split(r'/|\\\\',ce_files[i])[-1]\n",
        "  col_n=sp1.split('_')[0]\n",
        "  row_list=df['Ref.Gene'].tolist()\n",
        "  col_list=df['InterVar_automated'].tolist()\n",
        "  new_df=pd.DataFrame(col_list,index=row_list,columns=[col_n])\n",
        "  new_df=new_df.replace(\"Uncertain_significance\",\"1\")\n",
        "  new_df=new_df.replace(\"Uncertain_significance\",\"1\")\n",
        "  new_df=new_df.replace(\"Benign\",\"2\")\n",
        "  new_df=new_df.replace(\"Likely_benign\",\"3\")\n",
        "  new_df=new_df.replace(\"Likely_pathogenic\",\"5\")\n",
        "  new_df=new_df.replace('Pathogenic',\"6\")\n",
        "  new_df=new_df.replace('.','4')\n",
        "  new_df=new_df.astype(int)\n",
        "  mod_df = new_df.copy()\n",
        "  mod_df[new_df > 4] = 1 # Pathogenic\n",
        "  mod_df[(new_df <= 4) & (new_df > 0)] = 1 #Benign\n",
        "  mod_df.fillna(0, inplace=True)\n",
        "  mod_df = mod_df.groupby(mod_df.index.tolist(),axis=0)\n",
        "  grouped_df=mod_df.sum()\n",
        "  my_df.append(grouped_df)"
      ],
      "metadata": {
        "id": "kHdDKWIzHG-4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7dbf89b8-fa23-4d7d-9469-821b6a589d26"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100% (22 of 22) |########################| Elapsed Time: 0:00:00 Time:  0:00:00\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fdf = pd.concat(my_df, axis=1).fillna(0).T\n",
        "fdf.sum().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RzoLO5Z9yS8N",
        "outputId": "2459c66a-ba16-441a-9801-08cfbb0dad3c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "14510.0"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fdf = pd.concat(my_df, axis=1).fillna(0).T\n",
        "fdf = fdf.apply(lambda x: x.apply(lambda y: 1 if y > 0 else 0))\n",
        "\n",
        "def fbc_rename(x):\n",
        "  return 'IN-423-'+x.split('-')[0]\n",
        "new_indexes = []\n",
        "for i in fdf.index.to_list():\n",
        "  new_indexes.append(fbc_rename(i))\n",
        "\n",
        "fdf.set_index(pd.Index(new_indexes), inplace=True)\n",
        "\n",
        "fdf.drop_duplicates(inplace=True)"
      ],
      "metadata": {
        "id": "nEG42FhIzPwy"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fdf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 768
        },
        "id": "LtCK9DsMVGd2",
        "outputId": "cefd4a0b-1954-4a2d-b8fb-fa1fbcbe1a1b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              AAK1  ABCA13  ABCB8  ABCF1  ABCG1  ABHD1  ABR  ACAA1  ACBD4  \\\n",
              "IN-423-VIHE      1       1      1      1      1      1    1      1      1   \n",
              "IN-423-VIAC      0       0      0      0      0      0    1      0      0   \n",
              "IN-423-VI2C      0       0      0      0      0      0    0      0      0   \n",
              "IN-423-VIBK      0       1      0      0      0      0    0      0      0   \n",
              "IN-423-WB2H      0       0      0      0      0      0    0      0      0   \n",
              "IN-423-WCUF      0       0      0      0      0      0    0      0      0   \n",
              "IN-423-VIWA      0       0      0      0      0      0    0      0      0   \n",
              "IN-423-VLSA      0       1      0      1      0      0    0      0      0   \n",
              "IN-423-VIWB      0       0      0      0      0      0    0      0      0   \n",
              "IN-423-WEVQ      0       0      0      0      0      0    0      0      0   \n",
              "IN-423-WDFF      0       0      0      0      0      0    0      0      0   \n",
              "IN-423-WE4R      0       0      0      0      0      0    0      0      0   \n",
              "IN-423-WCUG      0       0      0      0      0      0    0      0      0   \n",
              "IN-423-WEJT      0       0      0      0      0      0    0      0      0   \n",
              "IN-423-WEJP      0       0      0      0      0      0    0      0      0   \n",
              "IN-423-WLRAH     0       1      0      0      0      0    0      0      0   \n",
              "IN-423-WEWK      0       1      0      0      0      0    0      0      0   \n",
              "IN-423-WJ7A6     0       0      1      0      0      0    0      0      0   \n",
              "IN-423-WLSA9     0       1      0      0      0      0    0      0      0   \n",
              "IN-423-WKPAM     0       1      0      0      0      0    0      0      0   \n",
              "IN-423-WLTAC     0       1      0      0      0      0    0      0      0   \n",
              "IN-423-XACAH     0       1      0      0      0      0    0      0      0   \n",
              "\n",
              "              ACOT1  ...  WIPI2  XPR1  YARS2  ZCCHC2  ZFPM2  ZNF471  ZNF529  \\\n",
              "IN-423-VIHE       1  ...      0     0      0       0      0       0       0   \n",
              "IN-423-VIAC       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-VI2C       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-VIBK       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WB2H       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WCUF       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-VIWA       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-VLSA       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-VIWB       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WEVQ       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WDFF       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WE4R       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WCUG       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WEJT       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WEJP       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WLRAH      0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WEWK       0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WJ7A6      0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WLSA9      0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WKPAM      0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-WLTAC      0  ...      0     0      0       0      0       0       0   \n",
              "IN-423-XACAH      0  ...      1     1      1       1      1       1       1   \n",
              "\n",
              "              ZNF547  ZNF549  ZNF775  \n",
              "IN-423-VIHE        0       0       0  \n",
              "IN-423-VIAC        0       0       0  \n",
              "IN-423-VI2C        0       0       0  \n",
              "IN-423-VIBK        0       0       0  \n",
              "IN-423-WB2H        0       0       0  \n",
              "IN-423-WCUF        0       0       0  \n",
              "IN-423-VIWA        0       0       0  \n",
              "IN-423-VLSA        0       0       0  \n",
              "IN-423-VIWB        0       0       0  \n",
              "IN-423-WEVQ        0       0       0  \n",
              "IN-423-WDFF        0       0       0  \n",
              "IN-423-WE4R        0       0       0  \n",
              "IN-423-WCUG        0       0       0  \n",
              "IN-423-WEJT        0       0       0  \n",
              "IN-423-WEJP        0       0       0  \n",
              "IN-423-WLRAH       0       0       0  \n",
              "IN-423-WEWK        0       0       0  \n",
              "IN-423-WJ7A6       0       0       0  \n",
              "IN-423-WLSA9       0       0       0  \n",
              "IN-423-WKPAM       0       0       0  \n",
              "IN-423-WLTAC       0       0       0  \n",
              "IN-423-XACAH       1       1       1  \n",
              "\n",
              "[22 rows x 8451 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-63dff5ae-d23f-486e-94d1-2fa966a6b898\" class=\"colab-df-container\">\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>AAK1</th>\n",
              "      <th>ABCA13</th>\n",
              "      <th>ABCB8</th>\n",
              "      <th>ABCF1</th>\n",
              "      <th>ABCG1</th>\n",
              "      <th>ABHD1</th>\n",
              "      <th>ABR</th>\n",
              "      <th>ACAA1</th>\n",
              "      <th>ACBD4</th>\n",
              "      <th>ACOT1</th>\n",
              "      <th>...</th>\n",
              "      <th>WIPI2</th>\n",
              "      <th>XPR1</th>\n",
              "      <th>YARS2</th>\n",
              "      <th>ZCCHC2</th>\n",
              "      <th>ZFPM2</th>\n",
              "      <th>ZNF471</th>\n",
              "      <th>ZNF529</th>\n",
              "      <th>ZNF547</th>\n",
              "      <th>ZNF549</th>\n",
              "      <th>ZNF775</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>IN-423-VIHE</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-VIAC</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-VI2C</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-VIBK</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WB2H</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WCUF</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-VIWA</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-VLSA</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-VIWB</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WEVQ</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WDFF</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WE4R</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WCUG</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WEJT</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WEJP</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WLRAH</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WEWK</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WJ7A6</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WLSA9</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WKPAM</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-WLTAC</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN-423-XACAH</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>22 rows × 8451 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-63dff5ae-d23f-486e-94d1-2fa966a6b898')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
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              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
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              "\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",
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "        document.querySelector('#df-63dff5ae-d23f-486e-94d1-2fa966a6b898 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
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              "\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",
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              "        element.appendChild(docLink);\n",
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              "<div id=\"df-b9d968f2-cb25-49c4-8c0d-3073052b01ad\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b9d968f2-cb25-49c4-8c0d-3073052b01ad')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-b9d968f2-cb25-49c4-8c0d-3073052b01ad button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "fdf"
            }
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "freq_df = fdf.sum(axis=0).reset_index()\n",
        "freq_df.columns  = ['Gene', 'Frequency']"
      ],
      "metadata": {
        "id": "GrL4iK-4jL83"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "freq_df.sort_values('Frequency', ascending=False).to_csv('GBC_gene_freq.csv')"
      ],
      "metadata": {
        "id": "cjrZkP4WDxKP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "77mckCzBDw5N"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(40, 8))\n",
        "custom_bw_palette = ['#FFFFFF','#000000']\n",
        "\n",
        "# Set the custom palette in Seaborn\n",
        "x=sns.color_palette(custom_bw_palette)\n",
        "\n",
        "sns.heatmap(fdf[freq_df.sort_values('Frequency', ascending=False).head(100)['Gene'].to_list()], cmap=x, linewidths=1, linecolor='black')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 494
        },
        "id": "DaAehclVjlDx",
        "outputId": "28f7d30f-47fb-4d3c-e9a3-ac09fa8456ec"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 27
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 4000x800 with 2 Axes>"
            ],
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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "YkBuA21Zxd4h"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "freq_df.sort_values('Frequency', ascending=False).head(100)['Gene'].to_list()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0n8sJMngmLiJ",
        "outputId": "3078b7af-0b33-436b-ed0d-9e1d9461a347"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['.',\n",
              " 'AGAP10P',\n",
              " 'BAGE2',\n",
              " 'TPTE',\n",
              " 'POTEG',\n",
              " 'CROCCP2',\n",
              " 'OR2L13',\n",
              " 'NONE',\n",
              " 'MUC5AC',\n",
              " 'MUC19',\n",
              " 'MST1P2',\n",
              " 'MIR4436A',\n",
              " 'MIR3675',\n",
              " 'DUXAP10',\n",
              " 'LOC390705',\n",
              " 'LOC107985911',\n",
              " 'ANKRD30BP2',\n",
              " 'LOC101927429',\n",
              " 'GYPA',\n",
              " 'FAM74A1',\n",
              " 'GGT3P',\n",
              " 'LOC101927050',\n",
              " 'LINC00999',\n",
              " 'FAM30C',\n",
              " 'LOC100996724',\n",
              " 'LOC105370697',\n",
              " 'LINC02297',\n",
              " 'ZNF141',\n",
              " 'TIMM23B-AGAP6',\n",
              " 'NBPF1',\n",
              " 'LINC02203',\n",
              " 'DDX12P',\n",
              " 'LOC101926935',\n",
              " 'LOC283683',\n",
              " 'ECE1',\n",
              " 'RAB6C',\n",
              " 'TTN',\n",
              " 'GOLGA8CP',\n",
              " 'LOC285074',\n",
              " 'LOC440292',\n",
              " 'TCAF2P1',\n",
              " 'CHEK2P2',\n",
              " 'CLCNKA',\n",
              " 'POTEM',\n",
              " 'NANOGP8',\n",
              " 'PABPC3',\n",
              " 'HGC6.3',\n",
              " 'HSFY1P1',\n",
              " 'GOLGA6A',\n",
              " 'NCF1B',\n",
              " 'MIR10396A',\n",
              " 'FAM90A25P',\n",
              " 'FAM90A7P',\n",
              " 'PRIM2',\n",
              " 'ZNF267',\n",
              " 'GOLGA6L3',\n",
              " 'FANK1',\n",
              " 'LILRB4',\n",
              " 'CLK4',\n",
              " 'RRBP1',\n",
              " 'PRB4',\n",
              " 'CROCC',\n",
              " 'BCR',\n",
              " 'TNXB',\n",
              " 'ENPP7P13',\n",
              " 'TBC1D3P2',\n",
              " 'FAM66E',\n",
              " 'MUC2',\n",
              " 'LYZL2',\n",
              " 'DRD5P2',\n",
              " 'IVL',\n",
              " 'ACTR3BP2',\n",
              " 'SLC35G4',\n",
              " 'TBC1D3P1-DHX40P1',\n",
              " 'FAM66A',\n",
              " 'RP1L1',\n",
              " 'PRAMEF8',\n",
              " 'POTEH',\n",
              " 'FKBP9P1',\n",
              " 'LNP1',\n",
              " 'PABPC1',\n",
              " 'OR8G5',\n",
              " 'ZC3H11B',\n",
              " 'KRT18',\n",
              " 'SEC63',\n",
              " 'NBPF25P',\n",
              " 'NPIPB5',\n",
              " 'LINC02749',\n",
              " 'TUBB8',\n",
              " 'ANTXRL',\n",
              " 'GOLGA6L7',\n",
              " 'HBZ',\n",
              " 'GZMH',\n",
              " 'OR8G1',\n",
              " 'LOC100996740',\n",
              " 'LGALS9C',\n",
              " 'REREP3',\n",
              " 'GTF2H2B',\n",
              " 'NBPF14',\n",
              " 'FAM90A2P']"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(40, 8))\n",
        "sns.barplot(freq_df.sort_values('Frequency', ascending=False).head(100), x='Gene', y='Frequency')\n",
        "var = plt.xticks(rotation=90)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 432
        },
        "id": "X7jMT4zvk8Ks",
        "outputId": "90c43f84-8f06-4c0d-a25a-6628f5cba248"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 4000x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "## Gene frequency within Dataset\n",
        "\n",
        "result_dict = {}\n",
        "for index, row in fdf.iterrows():\n",
        "    genes_list = row[row == 1].index.tolist()\n",
        "    result_dict[index] = genes_list\n",
        "\n",
        "gene_frequency = {}\n",
        "for genes_list in result_dict.values():\n",
        "    for gene in genes_list:\n",
        "        if gene in gene_frequency:\n",
        "            gene_frequency[gene] += 1\n",
        "        else:\n",
        "            gene_frequency[gene] = 1\n",
        "\n",
        "gf =pd.DataFrame(list(gene_frequency.items()), columns=['Gene', 'Frequency']).sort_values('Frequency', ascending=False).iloc[:100, :]\n",
        "gf.to_csv('gene_freq_WC_cancer.csv')\n",
        "plt.figure(figsize=(30, 5))\n",
        "sns.barplot(gf, x='Gene', y='Frequency')\n",
        "var = plt.xticks(rotation=90)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "jlj3OS9fXUOu",
        "outputId": "04026868-d4ff-4cf7-b756-12845ecb39fe"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 3000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}