Copy_of_6hrFASTINGhierachicalClustering_exprsprofile.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyOp154iBvEFkZrnecK9ahXc",
      "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/mejian1/ExopherGeneExpressionProfiling/blob/main/Copy_of_6hrFASTINGhierachicalClustering_exprsprofile.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": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 211
        },
        "id": "FA_4Fv3x7d9c",
        "outputId": "df00832e-1904-495a-91dd-60c343f7eb63"
      },
      "outputs": [
        {
          "output_type": "error",
          "ename": "AttributeError",
          "evalue": "module 'pandas' has no attribute 'read'",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-18-a487e78124eb>\u001b[0m in \u001b[0;36m<cell line: 9>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;31m# Generate some random data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcsv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"/content/6hrFASTINg.csv\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex_col\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;31m# Perform hierarchical clustering\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mAttributeError\u001b[0m: module 'pandas' has no attribute 'read'"
          ]
        }
      ],
      "source": [
        "# prompt: I want to make a heatmap using hierachical clustering method average and using the square euclucidean mode\n",
        "import pandas as pd\n",
        "\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import scipy.cluster.hierarchy as sch\n",
        "\n",
        "# Generate some random data\n",
        "data = pd.read.csv(\"/content/6hrFASTINg.csv\", index_col=0)\n",
        "\n",
        "# Perform hierarchical clustering\n",
        "clusters = sch.linkage(data, method='average', metric='sqeuclidean')\n",
        "\n",
        "# Create a heatmap of the clusters\n",
        "plt.figure(figsize=(10, 10))\n",
        "plt.title('Hierarchical Clustering Heatmap (Average Linkage, Square Euclidean Metric)')\n",
        "plt.xlabel('Data Points')\n",
        "plt.ylabel('Clusters')\n",
        "sch.dendrogram(clusters, no_labels=True)\n",
        "plt.show()\n"
      ]
    },
    {
      "source": [
        "import pandas as pd"
      ],
      "cell_type": "code",
      "metadata": {
        "id": "HhhMJARIACMf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "source": [
        "data = pd.read_csv(\"/content/6hrFASTINg.csv\", index_col=0)\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import scipy.cluster.hierarchy as sch\n",
        "import seaborn as sns\n",
        "# Perform hierarchical clustering\n",
        "clusters = sch.linkage(data, method='average', metric='sqeuclidean')\n",
        "# Create a heatmap of the clusters\n",
        "plt.figure(figsize=(10, 6))\n",
        "sch.dendrogram(clusters, labels=data.index, leaf_rotation=90)\n",
        "plt.title('Hierarchical Clustering Heatmap (Average Linkage, Square Euclidean Metric)')\n",
        "plt.xlabel('Data Points')\n",
        "plt.ylabel('Clusters')\n",
        "sch.dendrogram(clusters, no_labels=True)\n",
        "plt.show()\n",
        "# Plot the heatmap\n",
        "plt.figure(figsize=(10, 10))\n",
        "plt.title('Hierarchical Clustering Heatmap (Average Linkage, Square Euclidean Metric)')\n",
        "plt.xlabel('Samples')\n",
        "plt.ylabel('Genes')\n",
        "sns.heatmap(data.iloc[sch.leaves_list(clusters), :], cmap='RdYlGn', cbar_kws={'label': 'Expression'})\n",
        "plt.show()\n",
        "plt.savefig('heatmap.png')  # Save the heatmap as a PNG file\n",
        "plt.show()"
      ],
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "3GRGonn1AGqY",
        "outputId": "4d456c16-d4d8-4f0d-d6eb-fa87acb0adc3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 0 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.cluster import AgglomerativeClustering\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Load your expression data into a pandas DataFrame\n",
        "# Replace 'your_data.csv' with the path to your dataset\n",
        "data = pd.read_csv('/content/mdt15AllGenesMergedAvgExpressionWormbaseID.csv')\n",
        "\n",
        "# Assuming your data has gene names in the first column and expression values in the rest\n",
        "gene_names = data.iloc[:, 0]\n",
        "expression_data = data.iloc[:, 1:]\n",
        "\n",
        "# Standardize the data\n",
        "scaler = StandardScaler()\n",
        "scaled_data = scaler.fit_transform(expression_data)\n",
        "\n",
        "# Perform hierarchical clustering\n",
        "# Adjust parameters like linkage method and number of clusters as needed\n",
        "clustering = AgglomerativeClustering(n_clusters=5, affinity='euclidean', linkage='ward')\n",
        "clusters = clustering.fit_predict(scaled_data)\n",
        "\n",
        "# Visualize the clusters\n",
        "sns.clustermap(scaled_data, row_cluster=True, col_cluster=False, cmap='viridis', figsize=(10, 10))\n",
        "\n",
        "plt.title('Hierarchical Clustering of Gene Expression Profiles')\n",
        "plt.xlabel('Genes')\n",
        "plt.ylabel('Samples')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        },
        "id": "D3NiyMZmHGEb",
        "outputId": "cbe0821b-e0f5-484a-fbfa-c0f985989fc1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "UnicodeDecodeError",
          "evalue": "'utf-8' codec can't decode byte 0x9a in position 11: invalid start byte",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mUnicodeDecodeError\u001b[0m                        Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-28-d1314d6dde12>\u001b[0m in \u001b[0;36m<cell line: 10>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;31m# Load your expression data into a pandas DataFrame\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;31m# Replace 'your_data.csv' with the path to your dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/mdt15AllGenesMergedAvgExpressionWormbaseID.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;31m# Assuming your data has gene names in the first column and expression values in the rest\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m    910\u001b[0m     \u001b[0mkwds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwds_defaults\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    911\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 912\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    913\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    914\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    575\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    576\u001b[0m     \u001b[0;31m# Create the parser.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 577\u001b[0;31m     \u001b[0mparser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTextFileReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mchunksize\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0miterator\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m   1405\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1406\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhandles\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mIOHandles\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1407\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1408\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1409\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36m_make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m   1677\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1678\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1679\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mmapping\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mengine\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1680\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1681\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhandles\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/c_parser_wrapper.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, src, **kwds)\u001b[0m\n\u001b[1;32m     91\u001b[0m             \u001b[0;31m# Fail here loudly instead of in cython after reading\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     92\u001b[0m             \u001b[0mimport_optional_dependency\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"pyarrow\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 93\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparsers\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTextReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     94\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     95\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munnamed_cols\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munnamed_cols\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader.__cinit__\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._get_header\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._tokenize_rows\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._check_tokenize_status\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.raise_parser_error\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;31mUnicodeDecodeError\u001b[0m: 'utf-8' codec can't decode byte 0x9a in position 11: invalid start byte"
          ]
        }
      ]
    },
    {
      "source": [
        "!pip install chardet"
      ],
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2yrCPiXnHaZ9",
        "outputId": "09e7e80a-5e3a-448c-b107-66a9dc05ff3e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: chardet in /usr/local/lib/python3.10/dist-packages (5.2.0)\n"
          ]
        }
      ]
    },
    {
      "source": [
        "import chardet"
      ],
      "cell_type": "code",
      "metadata": {
        "id": "-WZPSsB7HmLT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "source": [
        "with open('/content/mdt15AllGenesMergedAvgExpressionWormbaseID.csv', 'rb') as f:\n",
        "    encoding = chardet.detect(f.read())['encoding']"
      ],
      "cell_type": "code",
      "metadata": {
        "id": "V6aQd-KqHoOk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "source": [
        "data = pd.read_csv('/content/mdt15AllGenesMergedAvgExpressionWormbaseID.csv', encoding=encoding)"
      ],
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 217
        },
        "id": "tiUSWkocH0eq",
        "outputId": "9c0db5d3-301e-4644-c501-bad962561626"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "UnicodeDecodeError",
          "evalue": "'utf-8' codec can't decode byte 0x9a in position 11: invalid start byte",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mUnicodeDecodeError\u001b[0m                        Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-32-2367b91403c8>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/mdt15AllGenesMergedAvgExpressionWormbaseID.csv'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mencoding\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m    910\u001b[0m     \u001b[0mkwds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwds_defaults\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    911\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 912\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    913\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    914\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    575\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    576\u001b[0m     \u001b[0;31m# Create the parser.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 577\u001b[0;31m     \u001b[0mparser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTextFileReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mchunksize\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0miterator\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m   1405\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1406\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhandles\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mIOHandles\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1407\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1408\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1409\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36m_make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m   1677\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1678\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1679\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mmapping\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mengine\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1680\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1681\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhandles\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/c_parser_wrapper.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, src, **kwds)\u001b[0m\n\u001b[1;32m     91\u001b[0m             \u001b[0;31m# Fail here loudly instead of in cython after reading\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     92\u001b[0m             \u001b[0mimport_optional_dependency\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"pyarrow\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 93\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparsers\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTextReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     94\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     95\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munnamed_cols\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munnamed_cols\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader.__cinit__\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._get_header\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._tokenize_rows\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._check_tokenize_status\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.raise_parser_error\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;31mUnicodeDecodeError\u001b[0m: 'utf-8' codec can't decode byte 0x9a in position 11: invalid start byte"
          ]
        }
      ]
    },
    {
      "source": [
        "# Assuming your data has gene names in the first column and expression values in the rest\n",
        "gene_names = data.iloc[:, 0]\n",
        "expression_data = data.iloc[:, 1:]\n",
        "\n",
        "# Standardize the data\n",
        "scaler = StandardScaler()\n",
        "scaled_data = scaler.fit_transform(expression_data)\n",
        "\n",
        "# Perform hierarchical clustering\n",
        "# Adjust parameters like linkage method and number of clusters as needed\n",
        "clustering = AgglomerativeClustering(n_clusters=5, affinity='euclidean', linkage='ward')\n",
        "clusters = clustering.fit_predict(scaled_data)\n",
        "\n",
        "# Visualize the clusters\n",
        "sns.clustermap(scaled_data, row_cluster=True, col_cluster=False, cmap='viridis', figsize=(10, 10))\n",
        "\n",
        "plt.title('Hierarchical Clustering of Gene Expression Profiles')\n",
        "plt.xlabel('Genes')\n",
        "plt.ylabel('Samples')\n",
        "plt.show()"
      ],
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 855
        },
        "id": "iId-ikS0H3oe",
        "outputId": "14ad3356-34a5-4b51-a707-ebf80e8a4aa8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_agglomerative.py:983: FutureWarning: Attribute `affinity` was deprecated in version 1.2 and will be removed in 1.4. Use `metric` instead\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 4 Axes>"
            ],
            "image/png": 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    }
  ]
}