MiniProject_R_ProstateCancer.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "MiniProject_R_ProstateCancer.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPK4/5IZrRdtKnaUjLEIpFx",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "ir",
      "display_name": "R"
    },
    "language_info": {
      "name": "R"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/SanandhKumar02/MiniProject_ProstateCancer/blob/main/MiniProject_R_ProstateCancer.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Prostate Cancer Biomarker Identification using Machine learning**"
      ],
      "metadata": {
        "id": "gWJRRbvhanoS"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Analysis of TCGA gene expression dataset for Prostate Cancer.\n",
        "The goal of this analysis is to find differences in gene expression profiles between the two sample populations: normal cells vs cancer cells. The two groups will be compared through an analysis of a gene expression dataset downloaded from The Cancer Genome Atlas (TCGA). The dataset contains expression values (sequence counts) generated via the Illumina HiSeq platform."
      ],
      "metadata": {
        "id": "mfT5czaOUuAB"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5aReTY5cTa3l",
        "outputId": "776310a4-07e8-4477-805d-979bc4a647b8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Installing package into ‘/usr/local/lib/R/site-library’\n",
            "(as ‘lib’ is unspecified)\n",
            "\n"
          ]
        }
      ],
      "source": [
        "if (!requireNamespace(\"BiocManager\", quietly=TRUE))\n",
        "    install.packages(\"BiocManager\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "BiocManager::install(\"TCGAbiolinks\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "je9mp-JlTqbd",
        "outputId": "98da1790-7c69-4c0c-cb49-2978730ab12b"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'getOption(\"repos\")' replaces Bioconductor standard repositories, see\n",
            "'?repositories' for details\n",
            "\n",
            "replacement repositories:\n",
            "    CRAN: https://cran.rstudio.com\n",
            "\n",
            "\n",
            "Bioconductor version 3.15 (BiocManager 1.30.18), R 4.2.0 (2022-04-22)\n",
            "\n",
            "Installing package(s) 'BiocVersion', 'TCGAbiolinks'\n",
            "\n",
            "also installing the dependencies ‘plogr’, ‘png’, ‘Biostrings’, ‘bitops’, ‘RSQLite’, ‘KEGGREST’, ‘filelock’, ‘RCurl’, ‘GenomeInfoDbData’, ‘zlibbioc’, ‘matrixStats’, ‘AnnotationDbi’, ‘BiocFileCache’, ‘BiocGenerics’, ‘GenomeInfoDb’, ‘XVector’, ‘Rcpp’, ‘R.oo’, ‘R.methodsS3’, ‘MatrixGenerics’, ‘Biobase’, ‘DelayedArray’, ‘downloader’, ‘biomaRt’, ‘GenomicRanges’, ‘XML’, ‘plyr’, ‘IRanges’, ‘S4Vectors’, ‘R.utils’, ‘SummarizedExperiment’, ‘TCGAbiolinksGUI.data’\n",
            "\n",
            "\n",
            "Old packages: 'openssl', 'roxygen2', 'tinytex', 'usethis', 'xfun'\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "library(TCGAbiolinks)"
      ],
      "metadata": {
        "id": "8XJfx0-JWP19"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "library(SummarizedExperiment)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CIbp3meaWSHA",
        "outputId": "2ba9a2c5-022a-42a7-dc14-24e6ef61fd5b"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Loading required package: MatrixGenerics\n",
            "\n",
            "Loading required package: matrixStats\n",
            "\n",
            "\n",
            "Attaching package: ‘MatrixGenerics’\n",
            "\n",
            "\n",
            "The following objects are masked from ‘package:matrixStats’:\n",
            "\n",
            "    colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,\n",
            "    colCounts, colCummaxs, colCummins, colCumprods, colCumsums,\n",
            "    colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,\n",
            "    colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,\n",
            "    colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,\n",
            "    colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,\n",
            "    colWeightedMeans, colWeightedMedians, colWeightedSds,\n",
            "    colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,\n",
            "    rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,\n",
            "    rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,\n",
            "    rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,\n",
            "    rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,\n",
            "    rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,\n",
            "    rowWeightedMads, rowWeightedMeans, rowWeightedMedians,\n",
            "    rowWeightedSds, rowWeightedVars\n",
            "\n",
            "\n",
            "Loading required package: GenomicRanges\n",
            "\n",
            "Loading required package: stats4\n",
            "\n",
            "Loading required package: BiocGenerics\n",
            "\n",
            "\n",
            "Attaching package: ‘BiocGenerics’\n",
            "\n",
            "\n",
            "The following objects are masked from ‘package:stats’:\n",
            "\n",
            "    IQR, mad, sd, var, xtabs\n",
            "\n",
            "\n",
            "The following objects are masked from ‘package:base’:\n",
            "\n",
            "    anyDuplicated, append, as.data.frame, basename, cbind, colnames,\n",
            "    dirname, do.call, duplicated, eval, evalq, Filter, Find, get, grep,\n",
            "    grepl, intersect, is.unsorted, lapply, Map, mapply, match, mget,\n",
            "    order, paste, pmax, pmax.int, pmin, pmin.int, Position, rank,\n",
            "    rbind, Reduce, rownames, sapply, setdiff, sort, table, tapply,\n",
            "    union, unique, unsplit, which.max, which.min\n",
            "\n",
            "\n",
            "Loading required package: S4Vectors\n",
            "\n",
            "\n",
            "Attaching package: ‘S4Vectors’\n",
            "\n",
            "\n",
            "The following objects are masked from ‘package:base’:\n",
            "\n",
            "    expand.grid, I, unname\n",
            "\n",
            "\n",
            "Loading required package: IRanges\n",
            "\n",
            "Loading required package: GenomeInfoDb\n",
            "\n",
            "Loading required package: Biobase\n",
            "\n",
            "Welcome to Bioconductor\n",
            "\n",
            "    Vignettes contain introductory material; view with\n",
            "    'browseVignettes()'. To cite Bioconductor, see\n",
            "    'citation(\"Biobase\")', and for packages 'citation(\"pkgname\")'.\n",
            "\n",
            "\n",
            "\n",
            "Attaching package: ‘Biobase’\n",
            "\n",
            "\n",
            "The following object is masked from ‘package:MatrixGenerics’:\n",
            "\n",
            "    rowMedians\n",
            "\n",
            "\n",
            "The following objects are masked from ‘package:matrixStats’:\n",
            "\n",
            "    anyMissing, rowMedians\n",
            "\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "library(ggplot2)"
      ],
      "metadata": {
        "id": "ObjhKLPvWV-H"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "BiocManager::install(\"DESeq2\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GFY38iIAWYPG",
        "outputId": "73925c09-ca05-4eb2-9bf3-a64747f6a655"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'getOption(\"repos\")' replaces Bioconductor standard repositories, see\n",
            "'?repositories' for details\n",
            "\n",
            "replacement repositories:\n",
            "    CRAN: https://cran.rstudio.com\n",
            "\n",
            "\n",
            "Bioconductor version 3.15 (BiocManager 1.30.18), R 4.2.0 (2022-04-22)\n",
            "\n",
            "Installing package(s) 'DESeq2'\n",
            "\n",
            "also installing the dependencies ‘formatR’, ‘lambda.r’, ‘futile.options’, ‘xtable’, ‘futile.logger’, ‘snow’, ‘BH’, ‘annotate’, ‘BiocParallel’, ‘genefilter’, ‘locfit’, ‘geneplotter’, ‘RcppArmadillo’\n",
            "\n",
            "\n",
            "Old packages: 'openssl', 'roxygen2', 'tinytex', 'usethis', 'xfun'\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "library(DESeq2)"
      ],
      "metadata": {
        "id": "LZWWfrUTWahS"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Function for Identifiying Upregulated and Downregulated genes"
      ],
      "metadata": {
        "id": "83n5xwwZbBjR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "get_upregulated <- function(df){\n",
        "    key <- intersect(rownames(df)[which(df$log2FoldChange>=1)],\n",
        "              rownames(df)[which(df$pvalue<=0.05)])\n",
        "    \n",
        "    results <- as.data.frame((df)[which(rownames(df) %in% key),])\n",
        "    return(results)\n",
        "  }"
      ],
      "metadata": {
        "id": "g_S4CdhWWc5i"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "get_downregulated <- function(df){\n",
        "  key <- intersect(rownames(df)[which(df$log2FoldChange<=-1)],\n",
        "            rownames(df)[which(df$pvalue<=0.05)])\n",
        "  \n",
        "  results <- as.data.frame((df)[which(rownames(df) %in% key),])\n",
        "  return(results)\n",
        "}"
      ],
      "metadata": {
        "id": "NrMlIqBoWe7s"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Downlading and Data wrangling"
      ],
      "metadata": {
        "id": "l8bBwQsybLiS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "query <- GDCquery(project = \"TCGA-PRAD\", \n",
        "                  data.category = \"Gene expression\",\n",
        "                  data.type = \"Gene expression quantification\",\n",
        "                  experimental.strategy = \"RNA-Seq\",\n",
        "                  platform = \"Illumina HiSeq\",\n",
        "                  file.type = \"results\",\n",
        "                  legacy = TRUE)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9kwOBvOXWk1C",
        "outputId": "880c2d4a-6f1f-4fab-f28b-29731bda0e6c"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "--------------------------------------\n",
            "\n",
            "o GDCquery: Searching in GDC database\n",
            "\n",
            "--------------------------------------\n",
            "\n",
            "Genome of reference: hg19\n",
            "\n",
            "--------------------------------------------\n",
            "\n",
            "oo Accessing GDC. This might take a while...\n",
            "\n",
            "--------------------------------------------\n",
            "\n",
            "ooo Project: TCGA-PRAD\n",
            "\n",
            "--------------------\n",
            "\n",
            "oo Filtering results\n",
            "\n",
            "--------------------\n",
            "\n",
            "ooo By platform\n",
            "\n",
            "ooo By experimental.strategy\n",
            "\n",
            "ooo By data.type\n",
            "\n",
            "ooo By file.type\n",
            "\n",
            "----------------\n",
            "\n",
            "oo Checking data\n",
            "\n",
            "----------------\n",
            "\n",
            "ooo Check if there are duplicated cases\n",
            "\n",
            "ooo Check if there results for the query\n",
            "\n",
            "-------------------\n",
            "\n",
            "o Preparing output\n",
            "\n",
            "-------------------\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "GDCdownload(query, method = \"api\", files.per.chunk = 100,\n",
        "            directory = \"/content/Data\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OKc5OQf9Wm2E",
        "outputId": "d0e4706f-95c5-4d17-802c-41933bc680ea"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading data for project TCGA-PRAD\n",
            "\n",
            "GDCdownload will download 550 files. A total of 834.121914 MB\n",
            "\n",
            "Downloading chunk 1 of 6 (100 files, size = 151.869266 MB) as Thu_Jun__2_07_42_15_2022_0.tar.gz\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading: 61 MB     "
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading chunk 2 of 6 (100 files, size = 151.619367 MB) as Thu_Jun__2_07_42_15_2022_1.tar.gz\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading: 61 MB     "
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading chunk 3 of 6 (100 files, size = 151.62918 MB) as Thu_Jun__2_07_42_15_2022_2.tar.gz\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading: 61 MB     "
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading chunk 4 of 6 (100 files, size = 151.582944 MB) as Thu_Jun__2_07_42_15_2022_3.tar.gz\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading: 61 MB     "
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading chunk 5 of 6 (100 files, size = 151.708686 MB) as Thu_Jun__2_07_42_15_2022_4.tar.gz\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading: 61 MB     "
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading chunk 6 of 6 (50 files, size = 75.712471 MB) as Thu_Jun__2_07_42_15_2022_5.tar.gz\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading: 30 MB     "
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_df <- GDCprepare(query, directory = \"/content/Data\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g4Uk59pHWpPN",
        "outputId": "c347ef2a-a8f7-4895-b731-bcd8a567c007"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "--------------------\n",
            "\n",
            "oo Reading 550 files\n",
            "\n",
            "--------------------\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "|====================================================|100%                      Completed after 20 s \n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "--------------------\n",
            "\n",
            "oo Merging 550 files\n",
            "\n",
            "--------------------\n",
            "\n",
            "Starting to add information to samples\n",
            "\n",
            " => Add clinical information to samples\n",
            "\n",
            " => Adding TCGA molecular information from marker papers\n",
            "\n",
            " => Information will have prefix 'paper_' \n",
            "\n",
            "prad subtype information from:doi:10.1016/j.cell.2015.10.025\n",
            "\n",
            "Available assays in SummarizedExperiment : \n",
            "  => raw_count\n",
            "  => scaled_estimate\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "### remove columns we dont need, keep counts\n",
        "mrna_meta <- mrna_df$sample\n",
        "mrna_meta <- cbind(mrna_meta, mrna_df$definition)\n",
        "mrna_df <- assay(mrna_df)"
      ],
      "metadata": {
        "id": "FbrqE3IcWvvg"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "delim_fn = function(x, n, i){\n",
        "    do.call(c, lapply(x, function(X)\n",
        "        paste(unlist(strsplit(X, \"-\"))[(n+1):(i)], collapse = \"-\")))\n",
        "}"
      ],
      "metadata": {
        "id": "J7POICTqW1o9"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "colnames(mrna_df) <- delim_fn(x = colnames(mrna_df), n = 0, i = 4)"
      ],
      "metadata": {
        "id": "lSi-uKHmW33Y"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_meta <- as.data.frame(mrna_meta)\n",
        "mrna_df <- as.data.frame(mrna_df)"
      ],
      "metadata": {
        "id": "rXaIkyIcW5Xo"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "## Remove metastatic sample\n",
        "metastatic_key <- mrna_meta[which(mrna_meta[,2] == \"Metastatic\"),]\n",
        "mrna_meta <- mrna_meta[!mrna_meta[,2] == metastatic_key[,2],]\n",
        "mrna_df <- mrna_df[, -grep(paste0(metastatic_key[,1]), colnames(mrna_df))]"
      ],
      "metadata": {
        "id": "P_aEuCuDW7MI"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_meta[,2] <- as.character(mrna_meta[,2])"
      ],
      "metadata": {
        "id": "6lx5or01W9MT"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_meta[,2] <- gsub(\"Primary solid Tumor\", \"Tumor\", mrna_meta[,2])\n",
        "mrna_meta[,2] <- gsub(\"Solid Tissue Normal\", \"Normal\", mrna_meta[,2])\n",
        "mrna_meta[,2] <- as.factor(mrna_meta[,2])\n",
        "levels(mrna_meta[,2])\n",
        "colnames(mrna_meta) <- c(\"cases\", \"Condition\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "id": "Qt9pUZNNW--M",
        "outputId": "c0882042-792a-4244-eee5-13f07046e0b8"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>'Normal'</li><li>'Tumor'</li></ol>\n"
            ],
            "text/markdown": "1. 'Normal'\n2. 'Tumor'\n\n\n",
            "text/latex": "\\begin{enumerate*}\n\\item 'Normal'\n\\item 'Tumor'\n\\end{enumerate*}\n",
            "text/plain": [
              "[1] \"Normal\" \"Tumor\" "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## DESeq2 Analysis\n",
        "### Summary of the Differential Expression Analysis Workflow:\n",
        "\n",
        "\n",
        "1. Involves identifying genes whose expression levels change between two sample groups.\n",
        "2. We begin by importing our dataset and necessary packages.\n",
        "3. Then, we can reduce our dataset by filtering out all genes with zero values.\n",
        "4. Next, we can split our dataset using regular expressions:\n",
        "\n",
        "\n",
        "```\n",
        "a) Expression values for cancer cells in one dataframe\n",
        "b) Expression values for normal cells in another dataframe\n",
        "```\n",
        "\n",
        "5. Then we generate MetaData\n",
        "6. After that we call the *DESeqDataSetFromMatrix* function and at last *DESeq* function to get the results\n",
        "\n",
        "![DESeq2_workflow_2018.png](data:image/png;base64,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)\n",
        "\n",
        "[link text](https://hbctraining.github.io/DGE_workshop/lessons/04_DGE_DESeq2_analysis.html)\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "ipIYVlWFZ34z"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_dds <- DESeqDataSetFromMatrix(round(mrna_df), colData = mrna_meta, design = ~ Condition)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XM-r0nAbXCWn",
        "outputId": "845d64f8-97e7-461b-e28b-38a15cf56138"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "converting counts to integer mode\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_dds$Condition <- relevel(mrna_dds$Condition, ref = \"Normal\")"
      ],
      "metadata": {
        "id": "8ki-24u5XEoV"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_dds <- DESeq(mrna_dds)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nZWVVQNCXGR1",
        "outputId": "3bcecbb3-dc9f-427f-9bf1-d30248800d72"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "estimating size factors\n",
            "\n",
            "estimating dispersions\n",
            "\n",
            "gene-wise dispersion estimates\n",
            "\n",
            "mean-dispersion relationship\n",
            "\n",
            "final dispersion estimates\n",
            "\n",
            "fitting model and testing\n",
            "\n",
            "-- replacing outliers and refitting for 1439 genes\n",
            "-- DESeq argument 'minReplicatesForReplace' = 7 \n",
            "-- original counts are preserved in counts(dds)\n",
            "\n",
            "estimating dispersions\n",
            "\n",
            "fitting model and testing\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "vsd <- varianceStabilizingTransformation(mrna_dds, blind=FALSE)"
      ],
      "metadata": {
        "id": "f11nXPptXI-f"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "head(assay(vsd))\n",
        "hist(assay(vsd))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 747
        },
        "id": "DuU2b5jZXMMJ",
        "outputId": "03a2d84e-5209-4db4-bb4f-22f1dc83fd8e"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A matrix: 6 × 549 of type dbl</caption>\n",
              "<thead>\n",
              "\t<tr><th></th><th scope=col>TCGA-G9-7525-01A</th><th scope=col>TCGA-EJ-7789-01A</th><th scope=col>TCGA-EJ-7314-11A</th><th scope=col>TCGA-HC-8265-01A</th><th scope=col>TCGA-EJ-A46B-01A</th><th scope=col>TCGA-HC-7819-01A</th><th scope=col>TCGA-EJ-5510-01A</th><th scope=col>TCGA-HC-7080-01A</th><th scope=col>TCGA-CH-5769-11A</th><th scope=col>TCGA-KK-A7AY-01A</th><th scope=col>⋯</th><th scope=col>TCGA-G9-6377-01A</th><th scope=col>TCGA-V1-A8MF-01A</th><th scope=col>TCGA-G9-6499-11A</th><th scope=col>TCGA-J4-A67R-01A</th><th scope=col>TCGA-KK-A6E7-01A</th><th scope=col>TCGA-J9-A8CN-01A</th><th scope=col>TCGA-CH-5762-01A</th><th scope=col>TCGA-XJ-A9DX-01A</th><th scope=col>TCGA-KK-A6E5-01A</th><th scope=col>TCGA-EJ-5496-01A</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><th scope=row>A1BG|1</th><td> 6.008894</td><td> 7.355672</td><td> 7.672604</td><td> 7.907780</td><td> 7.380921</td><td> 6.189704</td><td> 6.560988</td><td> 5.889730</td><td> 6.145200</td><td> 6.520872</td><td>⋯</td><td> 6.584258</td><td> 6.959848</td><td> 6.889952</td><td> 7.406567</td><td> 6.830122</td><td> 6.074995</td><td> 5.411722</td><td> 8.238785</td><td> 7.448119</td><td> 5.840184</td></tr>\n",
              "\t<tr><th scope=row>A2M|2</th><td>14.977996</td><td>14.768960</td><td>16.052200</td><td>14.783020</td><td>13.568532</td><td>13.518895</td><td>14.263595</td><td>14.022247</td><td>14.657321</td><td>14.457274</td><td>⋯</td><td>13.784273</td><td>14.996586</td><td>15.086310</td><td>14.495920</td><td>14.170037</td><td>14.425412</td><td>15.190929</td><td>13.686582</td><td>14.506364</td><td>13.316533</td></tr>\n",
              "\t<tr><th scope=row>NAT1|9</th><td> 7.369287</td><td> 5.967220</td><td> 8.657079</td><td> 8.214435</td><td> 9.172845</td><td> 5.967724</td><td> 8.689489</td><td> 6.183797</td><td> 8.645634</td><td> 5.524921</td><td>⋯</td><td> 8.042378</td><td> 8.220037</td><td> 9.312656</td><td> 7.235903</td><td> 9.267809</td><td> 9.088459</td><td> 7.819305</td><td> 5.980150</td><td> 9.675646</td><td> 7.288150</td></tr>\n",
              "\t<tr><th scope=row>NAT2|10</th><td> 5.153428</td><td> 4.052769</td><td> 5.213812</td><td> 4.687886</td><td> 5.166692</td><td> 4.522975</td><td> 5.095599</td><td> 5.115032</td><td> 5.176564</td><td> 4.514181</td><td>⋯</td><td> 4.859166</td><td> 5.722875</td><td> 5.025388</td><td> 5.173697</td><td> 6.807294</td><td> 4.465588</td><td> 4.052769</td><td> 4.052769</td><td> 4.774214</td><td> 4.706704</td></tr>\n",
              "\t<tr><th scope=row>SERPINA3|12</th><td>16.425500</td><td> 8.755545</td><td>14.887241</td><td>16.042970</td><td>10.837725</td><td>14.793632</td><td>15.035991</td><td>12.389362</td><td>15.395851</td><td>12.833889</td><td>⋯</td><td>15.029958</td><td>10.727668</td><td>14.168768</td><td>16.990727</td><td>10.022932</td><td>14.148247</td><td>13.947195</td><td>10.260316</td><td>12.506878</td><td>14.000804</td></tr>\n",
              "\t<tr><th scope=row>AADAC|13</th><td> 4.408430</td><td> 4.052769</td><td> 4.558712</td><td> 4.052769</td><td> 4.052769</td><td> 4.052769</td><td> 4.359825</td><td> 4.052769</td><td> 4.521184</td><td> 4.052769</td><td>⋯</td><td> 4.052769</td><td> 4.052769</td><td> 4.052769</td><td> 4.591437</td><td> 4.518895</td><td> 4.052769</td><td> 4.052769</td><td> 4.052769</td><td> 4.416300</td><td> 4.052769</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/markdown": "\nA matrix: 6 × 549 of type dbl\n\n| <!--/--> | TCGA-G9-7525-01A | TCGA-EJ-7789-01A | TCGA-EJ-7314-11A | TCGA-HC-8265-01A | TCGA-EJ-A46B-01A | TCGA-HC-7819-01A | TCGA-EJ-5510-01A | TCGA-HC-7080-01A | TCGA-CH-5769-11A | TCGA-KK-A7AY-01A | ⋯ | TCGA-G9-6377-01A | TCGA-V1-A8MF-01A | TCGA-G9-6499-11A | TCGA-J4-A67R-01A | TCGA-KK-A6E7-01A | TCGA-J9-A8CN-01A | TCGA-CH-5762-01A | TCGA-XJ-A9DX-01A | TCGA-KK-A6E5-01A | TCGA-EJ-5496-01A |\n|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| A1BG|1 |  6.008894 |  7.355672 |  7.672604 |  7.907780 |  7.380921 |  6.189704 |  6.560988 |  5.889730 |  6.145200 |  6.520872 | ⋯ |  6.584258 |  6.959848 |  6.889952 |  7.406567 |  6.830122 |  6.074995 |  5.411722 |  8.238785 |  7.448119 |  5.840184 |\n| A2M|2 | 14.977996 | 14.768960 | 16.052200 | 14.783020 | 13.568532 | 13.518895 | 14.263595 | 14.022247 | 14.657321 | 14.457274 | ⋯ | 13.784273 | 14.996586 | 15.086310 | 14.495920 | 14.170037 | 14.425412 | 15.190929 | 13.686582 | 14.506364 | 13.316533 |\n| NAT1|9 |  7.369287 |  5.967220 |  8.657079 |  8.214435 |  9.172845 |  5.967724 |  8.689489 |  6.183797 |  8.645634 |  5.524921 | ⋯ |  8.042378 |  8.220037 |  9.312656 |  7.235903 |  9.267809 |  9.088459 |  7.819305 |  5.980150 |  9.675646 |  7.288150 |\n| NAT2|10 |  5.153428 |  4.052769 |  5.213812 |  4.687886 |  5.166692 |  4.522975 |  5.095599 |  5.115032 |  5.176564 |  4.514181 | ⋯ |  4.859166 |  5.722875 |  5.025388 |  5.173697 |  6.807294 |  4.465588 |  4.052769 |  4.052769 |  4.774214 |  4.706704 |\n| SERPINA3|12 | 16.425500 |  8.755545 | 14.887241 | 16.042970 | 10.837725 | 14.793632 | 15.035991 | 12.389362 | 15.395851 | 12.833889 | ⋯ | 15.029958 | 10.727668 | 14.168768 | 16.990727 | 10.022932 | 14.148247 | 13.947195 | 10.260316 | 12.506878 | 14.000804 |\n| AADAC|13 |  4.408430 |  4.052769 |  4.558712 |  4.052769 |  4.052769 |  4.052769 |  4.359825 |  4.052769 |  4.521184 |  4.052769 | ⋯ |  4.052769 |  4.052769 |  4.052769 |  4.591437 |  4.518895 |  4.052769 |  4.052769 |  4.052769 |  4.416300 |  4.052769 |\n\n",
            "text/latex": "A matrix: 6 × 549 of type dbl\n\\begin{tabular}{r|lllllllllllllllllllll}\n  & TCGA-G9-7525-01A & TCGA-EJ-7789-01A & TCGA-EJ-7314-11A & TCGA-HC-8265-01A & TCGA-EJ-A46B-01A & TCGA-HC-7819-01A & TCGA-EJ-5510-01A & TCGA-HC-7080-01A & TCGA-CH-5769-11A & TCGA-KK-A7AY-01A & ⋯ & TCGA-G9-6377-01A & TCGA-V1-A8MF-01A & TCGA-G9-6499-11A & TCGA-J4-A67R-01A & TCGA-KK-A6E7-01A & TCGA-J9-A8CN-01A & TCGA-CH-5762-01A & TCGA-XJ-A9DX-01A & TCGA-KK-A6E5-01A & TCGA-EJ-5496-01A\\\\\n\\hline\n\tA1BG\\textbar{}1 &  6.008894 &  7.355672 &  7.672604 &  7.907780 &  7.380921 &  6.189704 &  6.560988 &  5.889730 &  6.145200 &  6.520872 & ⋯ &  6.584258 &  6.959848 &  6.889952 &  7.406567 &  6.830122 &  6.074995 &  5.411722 &  8.238785 &  7.448119 &  5.840184\\\\\n\tA2M\\textbar{}2 & 14.977996 & 14.768960 & 16.052200 & 14.783020 & 13.568532 & 13.518895 & 14.263595 & 14.022247 & 14.657321 & 14.457274 & ⋯ & 13.784273 & 14.996586 & 15.086310 & 14.495920 & 14.170037 & 14.425412 & 15.190929 & 13.686582 & 14.506364 & 13.316533\\\\\n\tNAT1\\textbar{}9 &  7.369287 &  5.967220 &  8.657079 &  8.214435 &  9.172845 &  5.967724 &  8.689489 &  6.183797 &  8.645634 &  5.524921 & ⋯ &  8.042378 &  8.220037 &  9.312656 &  7.235903 &  9.267809 &  9.088459 &  7.819305 &  5.980150 &  9.675646 &  7.288150\\\\\n\tNAT2\\textbar{}10 &  5.153428 &  4.052769 &  5.213812 &  4.687886 &  5.166692 &  4.522975 &  5.095599 &  5.115032 &  5.176564 &  4.514181 & ⋯ &  4.859166 &  5.722875 &  5.025388 &  5.173697 &  6.807294 &  4.465588 &  4.052769 &  4.052769 &  4.774214 &  4.706704\\\\\n\tSERPINA3\\textbar{}12 & 16.425500 &  8.755545 & 14.887241 & 16.042970 & 10.837725 & 14.793632 & 15.035991 & 12.389362 & 15.395851 & 12.833889 & ⋯ & 15.029958 & 10.727668 & 14.168768 & 16.990727 & 10.022932 & 14.148247 & 13.947195 & 10.260316 & 12.506878 & 14.000804\\\\\n\tAADAC\\textbar{}13 &  4.408430 &  4.052769 &  4.558712 &  4.052769 &  4.052769 &  4.052769 &  4.359825 &  4.052769 &  4.521184 &  4.052769 & ⋯ &  4.052769 &  4.052769 &  4.052769 &  4.591437 &  4.518895 &  4.052769 &  4.052769 &  4.052769 &  4.416300 &  4.052769\\\\\n\\end{tabular}\n",
            "text/plain": [
              "            TCGA-G9-7525-01A TCGA-EJ-7789-01A TCGA-EJ-7314-11A TCGA-HC-8265-01A\n",
              "A1BG|1       6.008894         7.355672         7.672604         7.907780       \n",
              "A2M|2       14.977996        14.768960        16.052200        14.783020       \n",
              "NAT1|9       7.369287         5.967220         8.657079         8.214435       \n",
              "NAT2|10      5.153428         4.052769         5.213812         4.687886       \n",
              "SERPINA3|12 16.425500         8.755545        14.887241        16.042970       \n",
              "AADAC|13     4.408430         4.052769         4.558712         4.052769       \n",
              "            TCGA-EJ-A46B-01A TCGA-HC-7819-01A TCGA-EJ-5510-01A TCGA-HC-7080-01A\n",
              "A1BG|1       7.380921         6.189704         6.560988         5.889730       \n",
              "A2M|2       13.568532        13.518895        14.263595        14.022247       \n",
              "NAT1|9       9.172845         5.967724         8.689489         6.183797       \n",
              "NAT2|10      5.166692         4.522975         5.095599         5.115032       \n",
              "SERPINA3|12 10.837725        14.793632        15.035991        12.389362       \n",
              "AADAC|13     4.052769         4.052769         4.359825         4.052769       \n",
              "            TCGA-CH-5769-11A TCGA-KK-A7AY-01A ⋯ TCGA-G9-6377-01A\n",
              "A1BG|1       6.145200         6.520872        ⋯  6.584258       \n",
              "A2M|2       14.657321        14.457274        ⋯ 13.784273       \n",
              "NAT1|9       8.645634         5.524921        ⋯  8.042378       \n",
              "NAT2|10      5.176564         4.514181        ⋯  4.859166       \n",
              "SERPINA3|12 15.395851        12.833889        ⋯ 15.029958       \n",
              "AADAC|13     4.521184         4.052769        ⋯  4.052769       \n",
              "            TCGA-V1-A8MF-01A TCGA-G9-6499-11A TCGA-J4-A67R-01A TCGA-KK-A6E7-01A\n",
              "A1BG|1       6.959848         6.889952         7.406567         6.830122       \n",
              "A2M|2       14.996586        15.086310        14.495920        14.170037       \n",
              "NAT1|9       8.220037         9.312656         7.235903         9.267809       \n",
              "NAT2|10      5.722875         5.025388         5.173697         6.807294       \n",
              "SERPINA3|12 10.727668        14.168768        16.990727        10.022932       \n",
              "AADAC|13     4.052769         4.052769         4.591437         4.518895       \n",
              "            TCGA-J9-A8CN-01A TCGA-CH-5762-01A TCGA-XJ-A9DX-01A TCGA-KK-A6E5-01A\n",
              "A1BG|1       6.074995         5.411722         8.238785         7.448119       \n",
              "A2M|2       14.425412        15.190929        13.686582        14.506364       \n",
              "NAT1|9       9.088459         7.819305         5.980150         9.675646       \n",
              "NAT2|10      4.465588         4.052769         4.052769         4.774214       \n",
              "SERPINA3|12 14.148247        13.947195        10.260316        12.506878       \n",
              "AADAC|13     4.052769         4.052769         4.052769         4.416300       \n",
              "            TCGA-EJ-5496-01A\n",
              "A1BG|1       5.840184       \n",
              "A2M|2       13.316533       \n",
              "NAT1|9       7.288150       \n",
              "NAT2|10      4.706704       \n",
              "SERPINA3|12 14.000804       \n",
              "AADAC|13     4.052769       "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “Histogram of assay(vsd)”"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAMAAADKOT/pAAADAFBMVEUAAAABAQECAgIDAwME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\nQAEhAQoICVBASIACQgIUEBKggJAABf8fNx02FUwO2yIAAAAASUVORK5CYII="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "resultsNames(mrna_dds)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "id": "aJLpnaHxXPqp",
        "outputId": "82950794-c202-41fe-e745-da57626840b8"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>'Intercept'</li><li>'Condition_Tumor_vs_Normal'</li></ol>\n"
            ],
            "text/markdown": "1. 'Intercept'\n2. 'Condition_Tumor_vs_Normal'\n\n\n",
            "text/latex": "\\begin{enumerate*}\n\\item 'Intercept'\n\\item 'Condition\\_Tumor\\_vs\\_Normal'\n\\end{enumerate*}\n",
            "text/plain": [
              "[1] \"Intercept\"                 \"Condition_Tumor_vs_Normal\""
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Dispersions Plot "
      ],
      "metadata": {
        "id": "TWkIaT0UXZ2w"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot Dispersions:\n",
        "plotDispEsts(mrna_dds, main=\"Dispersion plot\")\n",
        "dev.off()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 454
        },
        "id": "wNcNE4T_XZGs",
        "outputId": "be4b2cd2-1b56-4a65-eb0a-18d781b4c826"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<strong>null device:</strong> 1"
            ],
            "text/markdown": "**null device:** 1",
            "text/latex": "\\textbf{null device:} 1",
            "text/plain": [
              "null device \n",
              "          1 "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “Dispersion plot”"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAACXBIWXMAABJ0AAASdAHeZh94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\nIwAAAABJRU5ErkJggg=="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_res <- results(mrna_dds, name = \"Condition_Tumor_vs_Normal\")"
      ],
      "metadata": {
        "id": "Yc-bzPx2Xohu"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## MA Plot"
      ],
      "metadata": {
        "id": "9Ype4vKgXqaY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plotMA(mrna_res)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "OBNXPhrJXsRf",
        "outputId": "51fb48ad-f36e-4115-88d1-ece38119da27"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “”"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAACXBIWXMAABJ0AAASdAHeZh94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\nrkJggg=="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Summing Up"
      ],
      "metadata": {
        "id": "MVNOfmkJaFEh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_res_df <- as.data.frame(mrna_res)"
      ],
      "metadata": {
        "id": "B1ABdtPGX1rW"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mrnaTable <- mrna_res_df"
      ],
      "metadata": {
        "id": "ew8SvaZFX5_M"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mrnaTable$Gene_id <- rownames(mrnaTable)"
      ],
      "metadata": {
        "id": "vPSZHHqFX-qH"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "summary(mrna_res)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Lb42XVXpYAr6",
        "outputId": "e49df63a-cbac-4828-f417-36d9729572ba"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "out of 19669 with nonzero total read count\n",
            "adjusted p-value < 0.1\n",
            "LFC > 0 (up)       : 6878, 35%\n",
            "LFC < 0 (down)     : 6338, 32%\n",
            "outliers [1]       : 0, 0%\n",
            "low counts [2]     : 0, 0%\n",
            "(mean count < 0)\n",
            "[1] see 'cooksCutoff' argument of ?results\n",
            "[2] see 'independentFiltering' argument of ?results\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_upreg <- get_upregulated(mrna_res)"
      ],
      "metadata": {
        "id": "ck05UJ7LYCk6"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_downreg <- get_downregulated(mrna_res)"
      ],
      "metadata": {
        "id": "fB7v14Y3YEKx"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_counts <- counts(mrna_dds, normalized = T)"
      ],
      "metadata": {
        "id": "zxb4WAHnYGO-"
      },
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_upreg$Gene_id <- rownames(mrna_upreg)"
      ],
      "metadata": {
        "id": "uumy33mYYIJA"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_downreg$Gene_id <- rownames(mrna_downreg)"
      ],
      "metadata": {
        "id": "lIlPGX3zYKZl"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mrna_res_df$Gene_id <- rownames(mrna_res_df)"
      ],
      "metadata": {
        "id": "ATOV8dPQYMSr"
      },
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#txt Format\n",
        "\n",
        "write.table(mrna_counts, \"/content/Results/mRNA_norm.counts.txt\", quote = F, sep = \"\\t\")\n",
        "write.table(mrna_res_df, \"/content/Results/mrna_res_deseq2.txt\", quote = F, sep = \"\\t\")\n",
        "write.table(mrna_upreg, \"/content/Results/mRNA_upreg.txt\", quote = F, sep = \"\\t\", row.names = F)\n",
        "write.table(mrna_downreg, \"/content/Results/mRNA_downreg.txt\", quote = F, sep = \"\\t\", row.names = F)\n",
        "\n",
        "#CSV Format\n",
        "\n",
        "write.csv(as.data.frame(mrna_upreg), file=\"mrna_upreg.csv\")\n",
        "write.csv(as.data.frame(mrna_downreg), file=\"mrna_downreg.csv\")\n",
        "write.csv(as.data.frame(mrna_counts), file=\"mrna_counts.csv\")\n",
        "write.csv(as.data.frame(mrna_res_df), file=\"mrna_res_df.csv\")"
      ],
      "metadata": {
        "id": "oj08HkYFYOZT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Volcano Plot"
      ],
      "metadata": {
        "id": "1w3l0ffMYkcj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "par(mar=c(5,5,5,5), cex=1.0, cex.main=1.4, cex.axis=1.4, cex.lab=1.4)"
      ],
      "metadata": {
        "id": "zAfx1k9zYjZ1"
      },
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "with(mrna_res_df, plot(log2FoldChange, -log10(padj), pch=20, main=\"Volcano plot\", cex=1.0, xlab=bquote(~Log[2]~fold~change), ylab=bquote(~-log[10]~P~value)))\n",
        "\n",
        "with(subset(mrna_res_df, padj<0.05 & abs(log2FoldChange)>2), points(log2FoldChange, -log10(padj), pch=20, col=\"red\", cex=0.5))\n",
        "\n",
        "#with(subset(mrna_res_df, padj<0.05 & abs(log2FoldChange)>2), text(log2FoldChange, -log10(padj), labels=subset(rownames(mrna_res_df), mrna_res_df$padj<0.05 & abs(mrna_res_df$log2FoldChange)>2), cex=0.8, pos=3))\n",
        "\n",
        "#Add lines for absolute FC>2 and P-value cut-off at FDR Q<0.05\n",
        "abline(v=0, col=\"black\", lty=3, lwd=1.0)\n",
        "abline(v=-2, col=\"black\", lty=4, lwd=2.0)\n",
        "abline(v=2, col=\"black\", lty=4, lwd=2.0)\n",
        "abline(h=-log10(max(mrna_res_df$pvalue[mrna_res_df$padj<0.05], na.rm=TRUE)), col=\"black\", lty=4, lwd=2.0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "DkGb_Yi7Yp93",
        "outputId": "4d8c2551-c2dd-413c-8b40-bdeeddc150e3"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “Volcano plot”"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAACXBIWXMAABJ0AAASdAHeZh94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\nAAAASUVORK5CYII="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# CONCLUSION\n",
        "The set of genes found to be differentially expressed, namely ANGPT1, CHRM2, HSPA6, KIRREL3, C2orf88, SMR3A, CIDEC, ZNF185, FAM167A, APOBEC3C, EPHA10, HOXC4, NETO2, GTSE1, NETO1, KISS1R, TEKT1, ACTL8, ROPN1L, could be deduced from the above results. The genes ANGPT1, APOBEC3C, ZNF185, EPHA10, and HOXC4 have the potential to be used as diagnostic tests for prostate cancer early detection. These genes will need to be studied further to see if they may be fused with other genes to boost their selectivity and specificity. Because prostate cancer is a potentially fatal malignancy for the majority of men who are diagnosed with it, the only way to solve this issue is through early detection and accurate prognosis, which is what our research attempts to achieve."
      ],
      "metadata": {
        "id": "q5Chk5y_ezLd"
      }
    }
  ]
}