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  "Title": "Multiple omics data integrative clustering and gene set analysis",
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  "Date": "2020-06-04",
  "Author": "Chen Meng",
  "Maintainer": "Chen Meng <mengchen18@gmail.com>",
  "Description": "This package provide a method for doing gene set analysis\nbased on multiple omics data.",
  "License": "GPL-2",
  "VignetteBuilder": "knitr",
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    "mogsa",
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    "summary",
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      "file": "NCI60_4arrays.rda",
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      "tojson": true
    }
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    {
      "page": "mogsa-package",
      "title": "Multiple omics clustering and gene set analysis",
      "topics": [
        "mogsa-package"
      ]
    },
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      "page": "annotate.gs",
      "title": "Summary annotation information of a gene set",
      "topics": [
        "annotate.gs"
      ]
    },
    {
      "page": "biSoftK",
      "title": "NIPALS algorithm with soft thresholding operator on rows and columns",
      "topics": [
        "biSoftK"
      ]
    },
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      "page": "bootMbpca",
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        "bootMbpca"
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    {
      "page": "bootMbpcaK",
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        "bootMbpcaK"
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    {
      "page": "bootMoa",
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      "topics": [
        "bootMoa"
      ]
    },
    {
      "page": "box.gs.feature",
      "title": "boxplot of gene set variables across all samples.",
      "topics": [
        "box.gs.feature"
      ]
    },
    {
      "page": "combine-methods",
      "title": "Combine two objects of class 'mgsa' into one.",
      "topics": [
        "combine",
        "combine,mgsa,mgsa-method",
        "combine-methods"
      ]
    },
    {
      "page": "decompose.gs.group",
      "title": "Data-wise or PC-wise decomposition of gene set scores for all observations.",
      "topics": [
        "decompose.gs.group"
      ]
    },
    {
      "page": "decompose.gs.ind",
      "title": "Data-wise or PC-wise decomposition of gene set scores for a single observation.",
      "topics": [
        "decompose.gs.ind"
      ]
    },
    {
      "page": "deflat",
      "title": "deflat function used by 'mbpca'",
      "topics": [
        "deflat"
      ]
    },
    {
      "page": "distMoa",
      "title": "Calculate the distance matrix from an object of class 'moa-class'.",
      "topics": [
        "distMoa"
      ]
    },
    {
      "page": "getmgsa",
      "title": "get values in an object of class \"mgsa\".",
      "topics": [
        "getmgsa"
      ]
    },
    {
      "page": "GIS",
      "title": "calculate gene influential scores of genes in a gene set.",
      "topics": [
        "GIS"
      ]
    },
    {
      "page": "matpower",
      "title": "compute the power of a matrix",
      "topics": [
        "matpower"
      ]
    },
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      "page": "mbpca",
      "title": "Extension of PCA to analyze multiple data sets",
      "topics": [
        "mbpca"
      ]
    },
    {
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      "title": "Class '\"mgsa\"'",
      "topics": [
        "mgsa-class"
      ]
    },
    {
      "page": "moa",
      "title": "Multiple omics data analysis using MFA or STATIS",
      "topics": [
        "moa"
      ]
    },
    {
      "page": "moa-class",
      "title": "Class '\"moa\"'",
      "topics": [
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        "plot,moa,missing-method"
      ]
    },
    {
      "page": "moa.sup-class",
      "title": "Class '\"moa.sup\"'",
      "topics": [
        "moa.sup-class"
      ]
    },
    {
      "page": "moaCoef",
      "title": "Extract the loadings/coefficients from an object of class 'moa-class'.",
      "topics": [
        "moaCoef"
      ]
    },
    {
      "page": "moaScore",
      "title": "Extract global scores from an object of class 'moa-class'.",
      "topics": [
        "moaScore"
      ]
    },
    {
      "page": "moGap",
      "title": "Gap statistic for clustering latent variables in 'moa-class'.",
      "topics": [
        "moGap"
      ]
    },
    {
      "page": "mogsa",
      "title": "multiple omics data integration and gene set analysis",
      "topics": [
        "mogsa"
      ]
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      "title": "supp data for Microarray gene expression profiles of the NCI 60 cell lines from 4 different platforms",
      "topics": [
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      "title": "Microarray gene expression profiles of the NCI 60 cell lines from 4 different platforms",
      "topics": [
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      "title": "pairwise RV coefficients.",
      "topics": [
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    },
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      "topics": [
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      "topics": [
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    {
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      "title": "Prepare sumpplementary tables for projection by sup.moa or mogsa.",
      "topics": [
        "prepSupMoa"
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    },
    {
      "page": "print-methods",
      "title": "Methods for function 'print'",
      "topics": [
        "print",
        "print,mgsa-method",
        "print,moa-method",
        "print,moa.sup-method",
        "print-methods"
      ]
    },
    {
      "page": "processOpt",
      "title": "preprocessing of input data in 'mbpca'.",
      "topics": [
        "processOpt"
      ]
    },
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      "page": "show-methods",
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      "topics": [
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        "show,mgsa-method",
        "show,moa-method",
        "show,moa.sup-method",
        "show-methods"
      ]
    },
    {
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      "topics": [
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      ]
    },
    {
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      "topics": [
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        "summary,moa-method",
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        "summary-methods"
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      "date": "2026-05-30T07:33:48.000Z",
      "commit": "2a0cde2c29246ce82ddf3045687888f9fcd01df3",
      "fileid": "d1a592b888dc4cef4436177540f6b81658fa317178b1e2a8631372141b87e167",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26678052238"
    }
  ]
}