{
  "_id": "6a1a7b551d7bb097a09d37b2",
  "Package": "puma",
  "Type": "Package",
  "Title": "Propagating Uncertainty in Microarray Analysis(including\nAffymetrix tranditional 3' arrays and exon arrays and Human\nTranscriptome Array 2.0)",
  "Version": "3.55.0",
  "Date": "2015-7-29",
  "Author": "Richard D. Pearson, Xuejun Liu, Magnus Rattray, Marta Milo,\nNeil D. Lawrence, Guido Sanguinetti, Li Zhang",
  "Maintainer": "Xuejun Liu <xuejun.liu@nuaa.edu.cn>",
  "Description": "Most analyses of Affymetrix GeneChip data (including\ntranditional 3' arrays and exon arrays and Human Transcriptome\nArray 2.0) are based on point estimates of expression levels\nand ignore the uncertainty of such estimates. By propagating\nuncertainty to downstream analyses we can improve results from\nmicroarray analyses. For the first time, the puma package makes\na suite of uncertainty propagation methods available to a\ngeneral audience. In additon to calculte gene expression from\nAffymetrix 3' arrays, puma also provides methods to process\nexon arrays and produces gene and isoform expression for\nalternative splicing study. puma also offers improvements in\nterms of scope and speed of execution over previously available\nuncertainty propagation methods. Included are summarisation,\ndifferential expression detection, clustering and PCA methods,\ntogether with useful plotting functions.",
  "License": "LGPL",
  "biocViews": "Microarray, OneChannel, Preprocessing,\nDifferentialExpression, Clustering, ExonArray, GeneExpression,\nmRNAMicroarray, ChipOnChip, AlternativeSplicing,\nDifferentialSplicing, Bayesian, TwoChannel, DataImport, HTA2.0",
  "URL": "http://umber.sbs.man.ac.uk/resources/puma",
  "Packaged": {
    "Date": "2026-05-30 05:28:09 UTC",
    "User": "root"
  },
  "NeedsCompilation": "yes",
  "Config/pak/sysreqs": "zlib1g-dev",
  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 12:32:24 UTC",
  "RemoteUrl": "https://github.com/bioc/puma",
  "RemoteRef": "HEAD",
  "RemoteSha": "3a79aa4cbd9705f82184c711462c4585081c130b",
  "MD5sum": "cc6325dfa525ac7d77f348b754f18347",
  "_user": "bioc",
  "_type": "src",
  "_file": "puma_3.55.0.tar.gz",
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  "_created": "2026-05-30T05:28:09.000Z",
  "_published": "2026-05-30T05:53:25.474Z",
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  "_buildurl": "https://github.com/r-universe/bioc/actions/runs/26675595288",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/bioc/puma",
  "_commit": {
    "id": "3a79aa4cbd9705f82184c711462c4585081c130b",
    "author": "A Wokaty <andres.wokaty@sph.cuny.edu>",
    "committer": "A Wokaty <andres.wokaty@sph.cuny.edu>",
    "message": "bump x.y.z version to odd y following creation of RELEASE_3_23 branch\n",
    "time": 1777379544
  },
  "_maintainer": {
    "name": "Xuejun Liu",
    "email": "xuejun.liu@nuaa.edu.cn",
    "login": "pugea",
    "description": "",
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  "_selfowned": true,
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  "_updates": [
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      "n": 2
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    "microarray",
    "onechannel",
    "preprocessing",
    "differentialexpression",
    "clustering",
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    "geneexpression",
    "mrnamicroarray",
    "chiponchip",
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    "differentialsplicing",
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    "name": "Bioconductor",
    "description": "Software for the analysis and comprehension of high-throughput genomic data"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
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    "extra/contents.json",
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    "manual.pdf"
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  "_realowner": "bioc",
  "_cranurl": false,
  "_exports": [
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    "calcAUC",
    "calculateFC",
    "calculateLimma",
    "calculateTtest",
    "clusterApplyLBDots",
    "clusterNormE",
    "clusterNormVar",
    "compareLimmapumaDE",
    "create_eset_r",
    "createContrastMatrix",
    "createDesignMatrix",
    "DEMethod",
    "DEMethod<-",
    "erfc",
    "FC",
    "FC<-",
    "gmhta",
    "gmoExon",
    "hcomb",
    "igmoExon",
    "just.mgmos",
    "just.mmgmos",
    "justmgMOS",
    "justmmgMOS",
    "legend2",
    "license.puma",
    "matrixDistance",
    "mgmos",
    "mmgmos",
    "newtonStep",
    "normalisation.gs",
    "numberOfContrasts",
    "numberOfGenes",
    "numberOfProbesets",
    "numFP",
    "numOfFactorsToUse",
    "numTP",
    "orig_pplr",
    "pLikeValues",
    "plot.pumaPCARes",
    "plotErrorBars",
    "plotHistTwoClasses",
    "plotROC",
    "plotWhiskers",
    "PMmmgmos",
    "pplr",
    "pplrUnsorted",
    "prcfifty",
    "prcfifty<-",
    "prcfive",
    "prcfive<-",
    "prcninfive",
    "prcninfive<-",
    "prcsevfive",
    "prcsevfive<-",
    "prctwfive",
    "prctwfive<-",
    "pumaClust",
    "pumaClustii",
    "pumaComb",
    "pumaCombImproved",
    "pumaDE",
    "pumaDEUnsorted",
    "pumaFull",
    "pumaNormalize",
    "pumaPCA",
    "pumaPCAEstep",
    "pumaPCALikelihoodBound",
    "pumaPCALikelihoodCheck",
    "pumaPCANewtonUpdateLogSigma",
    "pumaPCARemoveRedundancy",
    "pumaPCASigmaGradient",
    "pumaPCASigmaObjective",
    "pumaPCAUpdateCinv",
    "pumaPCAUpdateM",
    "pumaPCAUpdateMu",
    "pumaPCAUpdateW",
    "removeUninformativeFactors",
    "statistic",
    "statistic<-",
    "statisticDescription",
    "statisticDescription<-",
    "topGeneIDs",
    "topGenes",
    "write.reslts"
  ],
  "_datasets": [
    {
      "name": "Clust.exampleE",
      "title": "The example data of the mean gene expression levels",
      "object": "Clust.exampleE",
      "file": "Clust.exampleE.RData",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "CHIP1",
        "CHIP2",
        "CHIP3",
        "CHIP4",
        "CHIP5",
        "CHIP6",
        "CHIP7",
        "CHIP8",
        "CHIP9",
        "CHIP10",
        "CHIP11",
        "CHIP12",
        "CHIP13",
        "CHIP14",
        "CHIP15",
        "CHIP16",
        "CHIP17",
        "CHIP18",
        "CHIP19",
        "CHIP20"
      ],
      "rows": 700,
      "table": true,
      "tojson": true
    },
    {
      "name": "Clust.exampleStd",
      "title": "The example data of the standard deviation for gene expression levels",
      "object": "Clust.exampleStd",
      "file": "Clust.exampleStd.RData",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "CHIP1",
        "CHIP2",
        "CHIP3",
        "CHIP4",
        "CHIP5",
        "CHIP6",
        "CHIP7",
        "CHIP8",
        "CHIP9",
        "CHIP10",
        "CHIP11",
        "CHIP12",
        "CHIP13",
        "CHIP14",
        "CHIP15",
        "CHIP16",
        "CHIP17",
        "CHIP18",
        "CHIP19",
        "CHIP20"
      ],
      "rows": 700,
      "table": true,
      "tojson": true
    },
    {
      "name": "Clustii.exampleE",
      "title": "The example data of the mean gene expression levels",
      "object": "Clustii.exampleE",
      "file": "Clustii.exampleE.RData",
      "class": [
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      "title": "The example data of the standard deviation for gene expression levels",
      "object": "Clustii.exampleStd",
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      ],
      "rows": 600,
      "table": true,
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    },
    {
      "name": "eset_mmgmos",
      "title": "An example ExpressionSet created from the Dilution data with mmgmos",
      "object": "eset_mmgmos",
      "file": "eset_mmgmos.rda",
      "class": [
        "exprReslt"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "exampleE",
      "title": "The example data of the mean gene expression levels",
      "object": "exampleE",
      "file": "exampleE.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "C1.CEL",
        "C2.CEL",
        "C3.CEL",
        "S1.CEL",
        "S2.CEL",
        "S3.CEL"
      ],
      "rows": 200,
      "table": true,
      "tojson": true
    },
    {
      "name": "exampleStd",
      "title": "The example data of the standard deviation for gene expression levels",
      "object": "exampleStd",
      "file": "exampleStd.rda",
      "class": [
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        "array"
      ],
      "fields": [
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        "S3.CEL"
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      "rows": 200,
      "table": true,
      "tojson": true
    },
    {
      "name": "hgu95aphis",
      "title": "Estimated parameters of the distribution of phi",
      "object": "hgu95aphis",
      "file": "hgu95aphis.rda",
      "class": [
        "numeric"
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      "fields": [],
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  ],
  "_help": [
    {
      "page": "puma-package",
      "title": "puma - Propagating Uncertainty in Microarray Analysis",
      "topics": [
        "puma-package",
        "puma"
      ]
    },
    {
      "page": "bcomb",
      "title": "Combining replicates for each condition",
      "topics": [
        "bcomb"
      ]
    },
    {
      "page": "calcAUC",
      "title": "Calculate Area Under Curve (AUC) for a standard ROC plot.",
      "topics": [
        "calcAUC"
      ]
    },
    {
      "page": "calculateFC",
      "title": "Calculate differential expression between conditions using FC",
      "topics": [
        "calculateFC"
      ]
    },
    {
      "page": "calculateLimma",
      "title": "Calculate differential expression between conditions using limma",
      "topics": [
        "calculateLimma"
      ]
    },
    {
      "page": "calculateTtest",
      "title": "Calculate differential expression between conditions using T-test",
      "topics": [
        "calculateTtest"
      ]
    },
    {
      "page": "Clust.exampleE",
      "title": "The example data of the mean gene expression levels",
      "topics": [
        "Clust.exampleE"
      ]
    },
    {
      "page": "Clust.exampleStd",
      "title": "The example data of the standard deviation for gene expression levels",
      "topics": [
        "Clust.exampleStd"
      ]
    },
    {
      "page": "clusterApplyLBDots",
      "title": "clusterApplyLB with dots to indicate progress",
      "topics": [
        "clusterApplyLBDots"
      ]
    },
    {
      "page": "clusterNormE",
      "title": "Zero-centered normalisation",
      "topics": [
        "clusterNormE"
      ]
    },
    {
      "page": "clusterNormVar",
      "title": "Adjusting expression variance for zero-centered normalisation",
      "topics": [
        "clusterNormVar"
      ]
    },
    {
      "page": "Clustii.exampleE",
      "title": "The example data of the mean gene expression levels",
      "topics": [
        "Clustii.exampleE"
      ]
    },
    {
      "page": "Clustii.exampleStd",
      "title": "The example data of the standard deviation for gene expression levels",
      "topics": [
        "Clustii.exampleStd"
      ]
    },
    {
      "page": "compareLimmapumaDE",
      "title": "Compare pumaDE with a default Limma model",
      "topics": [
        "compareLimmapumaDE"
      ]
    },
    {
      "page": "create_eset_r",
      "title": "Create an ExpressionSet from a PPLR matrix",
      "topics": [
        "create_eset_r"
      ]
    },
    {
      "page": "createContrastMatrix",
      "title": "Automatically create a contrast matrix from an ExpressionSet and optional design matrix",
      "topics": [
        "createContrastMatrix"
      ]
    },
    {
      "page": "createDesignMatrix",
      "title": "Automatically create a design matrix from an ExpressionSet",
      "topics": [
        "createDesignMatrix"
      ]
    },
    {
      "page": "DEResult-class",
      "title": "Class DEResult",
      "topics": [
        "class:DEResult",
        "DEMethod",
        "DEMethod,DEResult-method",
        "DEMethod<-",
        "DEMethod<-,DEResult,character-method",
        "DEResult",
        "DEResult-class",
        "FC",
        "FC,DEResult-method",
        "FC<-",
        "FC<-,DEResult,matrix-method",
        "numberOfContrasts",
        "numberOfContrasts,DEResult-method",
        "numberOfGenes",
        "numberOfGenes,DEResult-method",
        "numberOfProbesets",
        "numberOfProbesets,DEResult-method",
        "pLikeValues",
        "pLikeValues,DEResult-method",
        "show,DEResult-method",
        "statistic",
        "statistic,DEResult-method",
        "statistic<-",
        "statistic<-,DEResult,matrix-method",
        "statisticDescription",
        "statisticDescription,DEResult-method",
        "statisticDescription<-",
        "statisticDescription<-,DEResult,character-method",
        "topGeneIDs",
        "topGeneIDs,DEResult-method",
        "topGenes",
        "topGenes,DEResult-method",
        "write.reslts,DEResult-method"
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    },
    {
      "page": "erfc",
      "title": "The complementary error function",
      "topics": [
        "erfc"
      ]
    },
    {
      "page": "eset_mmgmos",
      "title": "An example ExpressionSet created from the Dilution data with mmgmos",
      "topics": [
        "eset_mmgmos"
      ]
    },
    {
      "page": "exampleE",
      "title": "The example data of the mean gene expression levels",
      "topics": [
        "exampleE"
      ]
    },
    {
      "page": "exampleStd",
      "title": "The example data of the standard deviation for gene expression levels",
      "topics": [
        "exampleStd"
      ]
    },
    {
      "page": "exprReslt-class",
      "title": "Class exprReslt",
      "topics": [
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        "exprReslt",
        "exprReslt-class",
        "prcfifty",
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        "prcfifty<-",
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        "prcfive<-,exprReslt-method",
        "prcninfive",
        "prcninfive,exprReslt-method",
        "prcninfive<-",
        "prcninfive<-,exprReslt-method",
        "prcsevfive",
        "prcsevfive,exprReslt-method",
        "prcsevfive<-",
        "prcsevfive<-,exprReslt-method",
        "prctwfive",
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        "prctwfive<-",
        "prctwfive<-,exprReslt-method",
        "se.exprs",
        "se.exprs,exprReslt-method",
        "se.exprs<-",
        "se.exprs<-,exprReslt-method",
        "show,exprReslt-method",
        "write.reslts",
        "write.reslts,ExpressionSet-method",
        "write.reslts,exprReslt-method"
      ]
    },
    {
      "page": "gmhta",
      "title": "Compute gene and transcript expression values and standard deviatons from hta2.0 CEL Files",
      "topics": [
        "gmhta"
      ]
    },
    {
      "page": "gmoExon",
      "title": "Compute gene and transcript expression values and standard deviatons from exon CEL Files",
      "topics": [
        "gmoExon"
      ]
    },
    {
      "page": "hcomb",
      "title": "Combining replicates for each condition with the true gene expression",
      "topics": [
        "hcomb"
      ]
    },
    {
      "page": "hgu95aphis",
      "title": "Estimated parameters of the distribution of phi",
      "topics": [
        "hgu95aphis"
      ]
    },
    {
      "page": "igmoExon",
      "title": "Separately Compute gene and transcript expression values and standard deviatons from exon CEL Files by the conditions.",
      "topics": [
        "igmoExon"
      ]
    },
    {
      "page": "justmgMOS",
      "title": "Compute mgmos Directly from CEL Files",
      "topics": [
        "just.mgmos",
        "justmgMOS"
      ]
    },
    {
      "page": "justmmgMOS",
      "title": "Compute mmgmos Directly from CEL Files",
      "topics": [
        "just.mmgmos",
        "justmmgMOS"
      ]
    },
    {
      "page": "legend2",
      "title": "A legend which allows longer lines",
      "topics": [
        "legend2"
      ]
    },
    {
      "page": "license.puma",
      "title": "Print puma license",
      "topics": [
        "license.puma"
      ]
    },
    {
      "page": "matrixDistance",
      "title": "Calculate distance between two matrices",
      "topics": [
        "matrixDistance"
      ]
    },
    {
      "page": "mgmos",
      "title": "modified gamma Model for Oligonucleotide Signal",
      "topics": [
        "mgmos"
      ]
    },
    {
      "page": "mmgmos",
      "title": "Multi-chip modified gamma Model for Oligonucleotide Signal",
      "topics": [
        "mmgmos"
      ]
    },
    {
      "page": "normalisation.gs",
      "title": "Global scaling normalisation",
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        "normalisation.gs"
      ]
    },
    {
      "page": "numFP",
      "title": "Number of False Positives for a given proportion of True Positives.",
      "topics": [
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      ]
    },
    {
      "page": "numOfFactorsToUse",
      "title": "Determine number of factors to use from an ExpressionSet",
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      ]
    },
    {
      "page": "numTP",
      "title": "Number of True Positives for a given proportion of False Positives.",
      "topics": [
        "numTP"
      ]
    },
    {
      "page": "orig_pplr",
      "title": "Probability of positive log-ratio",
      "topics": [
        "orig_pplr"
      ]
    },
    {
      "page": "plot-methods",
      "title": "Plot method for pumaPCARes objects",
      "topics": [
        "plot,pumaPCARes,missing-method",
        "plot,pumaPCARes-method",
        "plot-methods",
        "plot.pumaPCARes"
      ]
    },
    {
      "page": "plotErrorBars",
      "title": "Plot mean expression levels and error bars for one or more probesets",
      "topics": [
        "plotErrorBars"
      ]
    },
    {
      "page": "plotHistTwoClasses",
      "title": "Stacked histogram plot of two different classes",
      "topics": [
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      ]
    },
    {
      "page": "plotROC",
      "title": "Receiver Operator Characteristic (ROC) plot",
      "topics": [
        "plotROC"
      ]
    },
    {
      "page": "plotWhiskers",
      "title": "Standard errors whiskers plot",
      "topics": [
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      ]
    },
    {
      "page": "PMmmgmos",
      "title": "Multi-chip modified gamma Model for Oligonucleotide Signal using only PM probe intensities",
      "topics": [
        "PMmmgmos"
      ]
    },
    {
      "page": "pplr",
      "title": "Probability of positive log-ratio",
      "topics": [
        "pplr"
      ]
    },
    {
      "page": "pplrUnsorted",
      "title": "Return an unsorted matrix of PPLR values",
      "topics": [
        "pplrUnsorted"
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    },
    {
      "page": "pumaclust",
      "title": "Propagate probe-level uncertainty in model-based clustering on gene expression data",
      "topics": [
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    },
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      "page": "pumaClustii",
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      "topics": [
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    },
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      "page": "pumaComb",
      "title": "Combining replicates for each condition",
      "topics": [
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      "page": "pumaCombImproved",
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      "topics": [
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    },
    {
      "page": "pumaDE",
      "title": "Calculate differential expression between conditions",
      "topics": [
        "pumaDE"
      ]
    },
    {
      "page": "pumaDEUnsorted",
      "title": "Return an unsorted matrix of PPLR values",
      "topics": [
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    },
    {
      "page": "pumaFull",
      "title": "Perform a full PUMA analysis",
      "topics": [
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    },
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      "page": "pumaNormalize",
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      "topics": [
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        "pumaPCANewtonUpdateLogSigma",
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      "page": "pumaPCAExpectations-class",
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    },
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    },
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