{
  "_id": "6a5f88d714e95619b75d69d7",
  "Package": "DgeaHeatmap",
  "Title": "Implementation of Functions to Analyze Nanostring and Other Data\nfor DGE and to Generate Heatmaps",
  "Version": "0.99.0",
  "Authors@R": "c(\nperson(\"Leonie Johanna\", \"Lancelle\",\nemail = \"leonie.lancelle@uni-bielefeld.de\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0004-3138-0752\"))\n)",
  "Description": "Package for data extraction from Nanostring GeoMx DSP\ndata, also works for other data. Simple functions for\nDifferential Expression Analysis. User-friendly and highly\ncustomizable functions for heatmap generation.",
  "License": "GPL-3 + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "biocViews": "Bayesian,Clustering, DifferentialExpression, GeneExpression,\nNormalization, PrincipalComponent, RNASeq, Regression,\nSequencing, Software, Transcription, AlternativeSplicing,\nBatchEffect,BiomedicalInformatics, CellBiology,\nCheminformatics, DataImport, DifferentialSplicing, Epigenetics,\nExonArray, FunctionalGenomics, GeneSetEnrichment, Genetics,\nImmunoOncology, Metabolomics, MicroRNAArray, Microarray,\nMultipleComparison, OneChannel, Preprocessing,\nProprietaryPlatforms, Proteomics, QualityControl,\nSystemsBiology, TimeCourse, TwoChannel, mRNAMicroarray",
  "URL": "https://gitlab.ub.uni-bielefeld.de/spittaulab/Dgea_Heatmap_Package",
  "BugReports": "https://gitlab.ub.uni-bielefeld.de/spittaulab/Dgea_Heatmap_Package/-/issues",
  "VignetteBuilder": "knitr",
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  "Repository": "https://biocstaging.r-universe.dev",
  "Date/Publication": "2026-07-20 09:37:47 UTC",
  "RemoteUrl": "https://github.com/BiocStaging/DgeaHeatmap",
  "RemoteRef": "HEAD",
  "RemoteSha": "65a509be682ef287f8d7158d8a9555e8ad95e845",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-07-21 14:46:37 UTC",
    "User": "root"
  },
  "Author": "Leonie Johanna Lancelle [aut, cre] (ORCID:\n<https://orcid.org/0009-0004-3138-0752>)",
  "Maintainer": "Leonie Johanna Lancelle <leonie.lancelle@uni-bielefeld.de>",
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  "_type": "src",
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  "_expires": "2026-10-29T14:57:26.000Z",
  "_created": "2026-07-21T14:46:37.000Z",
  "_published": "2026-07-21T14:57:27.957Z",
  "_bioccheck": {
    "error": 0,
    "warning": 1,
    "note": 4
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  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/biocstaging/actions/runs/29840348293",
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  "_exports": [
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    "adv_Heatmap",
    "aExprsDataQC",
    "build_matrix",
    "color_setting",
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    "genRawReadCountTable",
    "get_dist",
    "get_heatmap_colors",
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    "Kmean_generation",
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    "pairwise_contrasts",
    "performing_kMeans",
    "prepare_dge_list",
    "print_heatmap",
    "row_clustering",
    "scale_counts",
    "set_annotation",
    "set_row_annotation",
    "set_sample_annotation",
    "show_data_distribution",
    "split_data_by_column",
    "summarise_bio_replicates",
    "summarize_edgeR_DEA"
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    {
      "page": "add_demoElem",
      "title": "Build a matrix from an input csv file, with one column as rownames",
      "topics": [
        "add_demoElem"
      ]
    },
    {
      "page": "adv_Heatmap",
      "title": "Creating a color scheme based on the available color palettes of RColorBrewer for the heatmap.",
      "topics": [
        "adv_Heatmap"
      ]
    },
    {
      "page": "aExprsDataQC",
      "title": "Function for automatized quality control.",
      "topics": [
        "aExprsDataQC"
      ]
    },
    {
      "page": "build_matrix",
      "title": "Builds a matrix from an input csv file, with one column as rownames",
      "topics": [
        "build_matrix"
      ]
    },
    {
      "page": "color_setting",
      "title": "Function to set color scheme for a heatmap.",
      "topics": [
        "color_setting"
      ]
    },
    {
      "page": "column_clustering",
      "title": "Setting the column clustering",
      "topics": [
        "column_clustering"
      ]
    },
    {
      "page": "create_contrast_matrix_edgeR",
      "title": "create_contrast_matrix_edgeR",
      "topics": [
        "create_contrast_matrix_edgeR"
      ]
    },
    {
      "page": "DGEADESeq2",
      "title": "DGEADESeq2",
      "topics": [
        "DGEADESeq2"
      ]
    },
    {
      "page": "DGEAedgeR",
      "title": "DGEAedgeR",
      "topics": [
        "DGEAedgeR"
      ]
    },
    {
      "page": "DGEALimma",
      "title": "DGEALimma",
      "topics": [
        "DGEALimma"
      ]
    },
    {
      "page": "draw_adv_heatmap",
      "title": "Draw the advanced heatmap",
      "topics": [
        "draw_adv_heatmap"
      ]
    },
    {
      "page": "elbow_plot",
      "title": "Function to create an elbow plot to choose k for clustering by k-Means.",
      "topics": [
        "elbow_plot"
      ]
    },
    {
      "page": "extract_genes_direction",
      "title": "Get list of genes and their direction of regulation",
      "topics": [
        "extract_genes_direction"
      ]
    },
    {
      "page": "extractDEGenes",
      "title": "extractDEGenes",
      "topics": [
        "extractDEGenes"
      ]
    },
    {
      "page": "filtering_for_top_exprGenes",
      "title": "Function to filter a matrix to extract a chosen number of most variable rows through calculation of the variance.",
      "topics": [
        "filtering_for_top_exprGenes"
      ]
    },
    {
      "page": "function_complexHeatmap_var",
      "title": "Creating a heatmap with annotation of x most variable rows(genes).",
      "topics": [
        "function_complexHeatmap_var"
      ]
    },
    {
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      "title": "Function to generating a raw read count table.",
      "topics": [
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      ]
    },
    {
      "page": "get_dist",
      "title": "Calculates the distance matrix",
      "topics": [
        "get_dist"
      ]
    },
    {
      "page": "get_heatmap_colors",
      "title": "Creating a color scheme based on the available color palettes of RColorBrewer for the heatmap.",
      "topics": [
        "get_heatmap_colors"
      ]
    },
    {
      "page": "individual_matrix",
      "title": "Creates a matrix only containing chosen columns of an original matrix with more data.",
      "topics": [
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      ]
    },
    {
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      "title": "Generates K-means for the columns and rows of a matrix.",
      "topics": [
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      ]
    },
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      "title": "Function to determine the most variable genes of each cluster to enable annotation..",
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      "title": "Create pairwise contrasts",
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      ]
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      "title": "Function to perform k-Means clustering for a matrix and setting split to split a heatmap into clusters.",
      "topics": [
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      ]
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      "title": "DGEAedgeR",
      "topics": [
        "prepare_dge_list"
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      "title": "Function to build a heatmap using other functions.",
      "topics": [
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      ]
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      "page": "row_clustering",
      "title": "Setting the row clustering",
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      "topics": [
        "split_data_by_column"
      ]
    },
    {
      "page": "summarise_bio_replicates",
      "title": "Summarizes columns biological replicates of a matrix into one.",
      "topics": [
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      ]
    },
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      "page": "summarize_edgeR_DEA",
      "title": "Summarize the results of the DEA with edgeR",
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        "summarize_edgeR_DEA"
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