{
  "_id": "6a105620acfb0bcc41ca29a5",
  "Package": "DIscBIO",
  "Date": "2026-01-08",
  "Title": "A User-Friendly Pipeline for Biomarker Discovery in Single-Cell\nTranscriptomics",
  "Version": "1.2.3.9001",
  "Authors@R": "c(\nperson(\ngiven = \"Salim\",\nfamily = \"Ghannoum\",\nrole = c(\"aut\", \"cph\"),\nemail = \"salim.ghannoum@medisin.uio.no\"\n),\nperson(\ngiven = \"Alvaro\",\nfamily = \"Köhn-Luque\",\nrole = c(\"aut\", \"ths\"),\nemail = \"alvaro.kohn-luque@medisin.uio.no\"\n),\nperson(\ngiven = \"Waldir\",\nfamily = \"Leoncio\",\nrole = c(\"cre\", \"aut\"),\nemail = \"w.l.netto@medisin.uio.no\"\n),\nperson(\ngiven = \"Damiano\",\nfamily = \"Fantini\",\nrole = c(\"ctb\")\n)\n)",
  "Description": "An open, multi-algorithmic pipeline for easy, fast and\nefficient analysis of cellular sub-populations and the\nmolecular signatures that characterize them. The pipeline\nconsists of four successive steps: data pre-processing,\ncellular clustering with pseudo-temporal ordering, defining\ndifferential expressed genes and biomarker identification. More\ndetails on Ghannoum et. al. (2021) <doi:10.3390/ijms22031399>.\nThis package implements extensions of the work published by\nGhannoum et. al. (2019) <doi:10.1101/700989>.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.3.3",
  "URL": "https://github.com/ocbe-uio/DIscBIO",
  "BugReports": "https://github.com/ocbe-uio/DIscBIO/issues",
  "Collate": "'DIscBIO-classes.R' 'DIscBIO-generic-ClassVectoringDT.R'\n'DIscBIO-generic-ClustDiffGenes.R' 'DIscBIO-generic-Clustexp.R'\n'DIscBIO-generic-DEGanalysis.R'\n'DIscBIO-generic-DEGanalysis2clust.R'\n'DIscBIO-generic-Exprmclust.R'\n'DIscBIO-generic-FinalPreprocessing.R'\n'DIscBIO-generic-FindOutliers.R'\n'DIscBIO-generic-NoiseFiltering.R'\n'DIscBIO-generic-Normalizedata.R'\n'DIscBIO-generic-PCAplotSymbols.R'\n'DIscBIO-generic-PlotmclustMB.R'\n'DIscBIO-generic-clusteringOrder.R'\n'DIscBIO-generic-clustheatmap.R' 'DIscBIO-generic-comptSNE.R'\n'DIscBIO-generic-plotExptSNE.R' 'DIscBIO-generic-plotGap.R'\n'DIscBIO-generic-plotLabelstSNE.R'\n'DIscBIO-generic-plotOrderTsne.R'\n'DIscBIO-generic-plotSilhouette.R'\n'DIscBIO-generic-plotSymbolstSNE.R'\n'DIscBIO-generic-plottSNE.R'\n'DIscBIO-generic-pseudoTimeOrdering.R' 'J48DT.R' 'J48DTeval.R'\n'Jaccard.R' 'NetAnalysis.R' 'Networking.R' 'PPI.R'\n'PlotMBpca.R' 'RpartDT.R' 'RpartEVAL.R' 'VolcanoPlot.R'\n'bootstrap.R' 'calc_pcareduceres.R' 'cross.val.R'\n'customConverters.R' 'datasets.R'\n'internal-functions-samr-adapted.R' 'internal-functions.R'\n'retrieve_geneList.R'",
  "Language": "en-US",
  "Config/pak/sysreqs": "cmake libglpk-dev make default-jdk libpng-dev\nlibuv1-dev libxml2-dev libssl-dev zlib1g-dev",
  "Repository": "https://ocbe-uio.r-universe.dev",
  "Date/Publication": "2026-01-09 09:51:42 UTC",
  "RemoteUrl": "https://github.com/ocbe-uio/DIscBIO",
  "RemoteRef": "HEAD",
  "RemoteSha": "f5c9bd7b8fc17a3d35b40f7cf7c1631221e2d9d7",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-09 07:54:59 UTC",
    "User": "root"
  },
  "Author": "Salim Ghannoum [aut, cph],\nAlvaro Köhn-Luque [aut, ths],\nWaldir Leoncio [cre, aut],\nDamiano Fantini [ctb]",
  "Maintainer": "Waldir Leoncio <w.l.netto@medisin.uio.no>",
  "MD5sum": "8630126834601498e25c8145bbeed779",
  "_user": "ocbe-uio",
  "_type": "src",
  "_file": "DIscBIO_1.2.3.9001.tar.gz",
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  "_created": "2026-05-09T07:54:59.000Z",
  "_published": "2026-05-22T13:12:00.449Z",
  "_distro": "noble",
  "_jobs": [
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  "_buildurl": "https://github.com/r-universe/ocbe-uio/actions/runs/25595779373",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/ocbe-uio/DIscBIO",
  "_commit": {
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    "author": "Waldir Leoncio <w.l.netto@medisin.uio.no>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Removed mention of vignette",
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  "_usedby": 0,
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      "date": "2026-01-09"
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  "_topics": [
    "biomarker-discovery",
    "jupyter-notebook",
    "scrna-seq",
    "single-cell-analysis",
    "transcriptomics",
    "openjdk"
  ],
  "_stars": 14,
  "_contributors": [
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    "type": "organization",
    "name": "Oslo Centre for Biostatistics and Epidemiology",
    "description": "This is where we host most of the scientific software we produce at OCBE, a joint center between the University of Oslo and the Oslo University Hospital."
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  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/DIscBIO"
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  "_mentions": 1,
  "_devurl": "https://github.com/ocbe-uio/discbio",
  "_searchresults": 5,
  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/DIscBIO.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
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  "_homeurl": "https://github.com/ocbe-uio/discbio",
  "_realowner": "ocbe-uio",
  "_cranurl": true,
  "_releases": [
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  "_exports": [
    "as.DISCBIO",
    "ClassVectoringDT",
    "ClustDiffGenes",
    "Clustexp",
    "clustheatmap",
    "comptSNE",
    "customConvertFeats",
    "DEGanalysis",
    "DEGanalysis2clust",
    "DISCBIO",
    "DISCBIO2SingleCellExperiment",
    "Exprmclust",
    "FinalPreprocessing",
    "FindOutliers",
    "J48DT",
    "J48DTeval",
    "Jaccard",
    "KmeanOrder",
    "NetAnalysis",
    "Networking",
    "NoiseFiltering",
    "Normalizedata",
    "PCAplotSymbols",
    "plotExptSNE",
    "plotGap",
    "plotLabelstSNE",
    "PlotMBpca",
    "PlotmclustMB",
    "plotOrderTsne",
    "plotSilhouette",
    "plotSymbolstSNE",
    "plottSNE",
    "PPI",
    "pseudoTimeOrdering",
    "RpartDT",
    "RpartEVAL",
    "VolcanoPlot"
  ],
  "_datasets": [
    {
      "name": "geneList",
      "title": "org.Hs.eg.db annotation package data",
      "object": "geneList",
      "class": [
        "data.frame"
      ],
      "fields": [
        "ENTREZID",
        "SYMBOL",
        "ENSEMBL"
      ],
      "rows": 202019,
      "table": true,
      "tojson": true
    },
    {
      "name": "HumanMouseGeneIds",
      "title": "Human and Mouse Gene Identifiers.",
      "object": "HumanMouseGeneIds",
      "class": [
        "data.frame"
      ],
      "fields": [
        "ENTREZID",
        "ENSEMBL",
        "SYMBOL"
      ],
      "rows": 51927,
      "table": true,
      "tojson": true
    },
    {
      "name": "valuesG1msTest",
      "title": "Single-cells data from a myxoid liposarcoma cell line",
      "object": "valuesG1msTest",
      "class": [
        "data.frame"
      ],
      "fields": [
        "G1_1",
        "G1_8",
        "G1_12",
        "G1_19",
        "G1_20",
        "S_1",
        "S_7",
        "S_21",
        "S_29",
        "S_30",
        "G2_1",
        "G2_4",
        "G2_10",
        "G2_18",
        "G2_22"
      ],
      "rows": 800,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "as.DISCBIO",
      "title": "Convert Single Cell Data Objects to DISCBIO.",
      "topics": [
        "as.DISCBIO"
      ]
    },
    {
      "page": "check.format",
      "title": "Check format",
      "topics": [
        "check.format"
      ]
    },
    {
      "page": "ClassVectoringDT",
      "title": "Generating a class vector to be used for the decision tree analysis.",
      "topics": [
        "ClassVectoringDT",
        "ClassVectoringDT,DISCBIO-method"
      ]
    },
    {
      "page": "ClustDiffGenes",
      "title": "ClustDiffGenes",
      "topics": [
        "ClustDiffGenes",
        "ClustDiffGenes,DISCBIO-method"
      ]
    },
    {
      "page": "Clustexp",
      "title": "Clustering of single-cell transcriptome data",
      "topics": [
        "Clustexp",
        "Clustexp,DISCBIO-method"
      ]
    },
    {
      "page": "clustheatmap",
      "title": "Plotting clusters in a heatmap representation of the cell distances",
      "topics": [
        "clustheatmap",
        "clustheatmap,DISCBIO-method"
      ]
    },
    {
      "page": "comptSNE",
      "title": "Computing tSNE",
      "topics": [
        "comptSNE",
        "comptSNE,DISCBIO-method"
      ]
    },
    {
      "page": "customConvertFeats",
      "title": "Automatic Feature Id Conversion.",
      "topics": [
        "customConvertFeats"
      ]
    },
    {
      "page": "DEGanalysis",
      "title": "Determining differentially expressed genes (DEGs) between all individual clusters.",
      "topics": [
        "DEGanalysis",
        "DEGanalysis,DISCBIO-method"
      ]
    },
    {
      "page": "DEGanalysis2clust",
      "title": "Determining differentially expressed genes (DEGs) between two particular clusters.",
      "topics": [
        "DEGanalysis2clust",
        "DEGanalysis2clust,DISCBIO-method"
      ]
    },
    {
      "page": "DISCBIO",
      "title": "The DISCBIO Class",
      "topics": [
        "DISCBIO",
        "DISCBIO-class",
        "DISCBIO-class,"
      ]
    },
    {
      "page": "DISCBIO2SingleCellExperiment",
      "title": "Convert a DISCBIO object to a SingleCellExperiment.",
      "topics": [
        "DISCBIO2SingleCellExperiment"
      ]
    },
    {
      "page": "Exprmclust",
      "title": "Performing Model-based clustering on expression values",
      "topics": [
        "Exprmclust",
        "Exprmclust,data.frame-method",
        "Exprmclust,DISCBIO-method"
      ]
    },
    {
      "page": "FinalPreprocessing",
      "title": "Final Preprocessing",
      "topics": [
        "FinalPreprocessing",
        "FinalPreprocessing,DISCBIO-method"
      ]
    },
    {
      "page": "FindOutliers",
      "title": "Inference of outlier cells",
      "topics": [
        "FindOutliers",
        "FindOutliers,DISCBIO-method"
      ]
    },
    {
      "page": "foldchange.seq.twoclass.unpaired",
      "title": "Foldchange of twoclass unpaired sequencing data",
      "topics": [
        "foldchange.seq.twoclass.unpaired"
      ]
    },
    {
      "page": "geneList",
      "title": "org.Hs.eg.db annotation package data",
      "topics": [
        "geneList"
      ]
    },
    {
      "page": "HumanMouseGeneIds",
      "title": "Human and Mouse Gene Identifiers.",
      "topics": [
        "HumanMouseGeneIds"
      ]
    },
    {
      "page": "J48DT",
      "title": "J48 Decision Tree",
      "topics": [
        "J48DT"
      ]
    },
    {
      "page": "J48DTeval",
      "title": "Evaluating the performance of the J48 decision tree.",
      "topics": [
        "J48DTeval"
      ]
    },
    {
      "page": "Jaccard",
      "title": "Jaccard’s similarity",
      "topics": [
        "Jaccard"
      ]
    },
    {
      "page": "KmeanOrder",
      "title": "Pseudo-time ordering based on k-means clusters",
      "topics": [
        "KmeanOrder",
        "KmeanOrder,DISCBIO-method"
      ]
    },
    {
      "page": "NetAnalysis",
      "title": "Networking analysis.",
      "topics": [
        "NetAnalysis"
      ]
    },
    {
      "page": "Networking",
      "title": "Plotting the network.",
      "topics": [
        "Networking"
      ]
    },
    {
      "page": "NoiseFiltering",
      "title": "Noise Filtering",
      "topics": [
        "NoiseFiltering",
        "NoiseFiltering,DISCBIO-method"
      ]
    },
    {
      "page": "Normalizedata",
      "title": "Normalizing and filtering",
      "topics": [
        "Normalizedata",
        "Normalizedata,DISCBIO-method"
      ]
    },
    {
      "page": "PCAplotSymbols",
      "title": "Plot PCA symbols",
      "topics": [
        "PCAplotSymbols",
        "PCAplotSymbols,DISCBIO-method"
      ]
    },
    {
      "page": "plotExptSNE",
      "title": "Highlighting gene expression in the t-SNE map",
      "topics": [
        "plotExptSNE",
        "plotExptSNE,DISCBIO-method"
      ]
    },
    {
      "page": "plotGap",
      "title": "Plotting Gap Statistics",
      "topics": [
        "plotGap",
        "plotGap,DISCBIO-method"
      ]
    },
    {
      "page": "plotLabelstSNE",
      "title": "tSNE map with labels",
      "topics": [
        "plotLabelstSNE",
        "plotLabelstSNE,DISCBIO-method"
      ]
    },
    {
      "page": "PlotMBpca",
      "title": "Plotting pseudo-time ordering or gene expression in Model-based clustering in PCA",
      "topics": [
        "PlotMBpca"
      ]
    },
    {
      "page": "PlotmclustMB",
      "title": "Plotting the Model-based clusters in PCA.",
      "topics": [
        "PlotmclustMB",
        "PlotmclustMB,DISCBIO-method"
      ]
    },
    {
      "page": "plotOrderTsne",
      "title": "Plotting the pseudo-time ordering in the t-SNE map",
      "topics": [
        "plotOrderTsne",
        "plotOrderTsne,DISCBIO-method"
      ]
    },
    {
      "page": "plotSilhouette",
      "title": "Silhouette Plot for K-means clustering",
      "topics": [
        "plotSilhouette",
        "plotSilhouette,DISCBIO-method"
      ]
    },
    {
      "page": "plotSymbolstSNE",
      "title": "tSNE map for K-means clustering with symbols",
      "topics": [
        "plotSymbolstSNE",
        "plotSymbolstSNE,DISCBIO-method"
      ]
    },
    {
      "page": "plottSNE",
      "title": "tSNE map",
      "topics": [
        "plottSNE",
        "plottSNE,DISCBIO-method"
      ]
    },
    {
      "page": "PPI",
      "title": "Defining protein-protein interactions (PPI) over a list of genes,",
      "topics": [
        "PPI"
      ]
    },
    {
      "page": "prepExampleDataset",
      "title": "Prepare Example Dataset",
      "topics": [
        "prepExampleDataset"
      ]
    },
    {
      "page": "pseudoTimeOrdering",
      "title": "Pseudo-time ordering",
      "topics": [
        "pseudoTimeOrdering",
        "pseudoTimeOrdering,DISCBIO-method"
      ]
    },
    {
      "page": "rankcols",
      "title": "Rank columns",
      "topics": [
        "rankcols"
      ]
    },
    {
      "page": "reformatSiggenes",
      "title": "Reformat Siggenes Table",
      "topics": [
        "reformatSiggenes"
      ]
    },
    {
      "page": "replaceDecimals",
      "title": "Replace Decimals",
      "topics": [
        "replaceDecimals"
      ]
    },
    {
      "page": "resa",
      "title": "Resampling",
      "topics": [
        "resa"
      ]
    },
    {
      "page": "retrieveURL",
      "title": "Retries a URL",
      "topics": [
        "retrieveURL"
      ]
    },
    {
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