{
  "_id": "6a1ac13f1d7bb097a09d7c41",
  "Package": "PanomiR",
  "Title": "Detection of miRNAs that regulate interacting groups of pathways",
  "Version": "1.17.0",
  "Authors@R": "c(\nperson(\"Pourya\", \"Naderi\", email = \"pouryany@gmail.com\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Yue Yang (Alan)\", \"Teo\", email = \"yueyang.teo@epfl.ch\",\nrole = c(\"aut\")),\nperson(\"Ilya\", \"Sytchev\", email = \"isytchev@hsph.harvard.edu\",\nrole = c(\"aut\")),\nperson(\"Winston\", \"Hide\", email = \"whide@bidmc.harvard.edu\",\nrole = c(\"aut\")))",
  "Description": "PanomiR is a package to detect miRNAs that target groups\nof pathways from gene expression data. This package provides\nfunctionality for generating pathway activity profiles,\ndetermining differentially activated pathways between\nuser-specified conditions, determining clusters of pathways via\nthe PCxN package, and generating miRNAs targeting clusters of\npathways. These function can be used separately or sequentially\nto analyze RNA-Seq data.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.1.2",
  "Config/testthat/edition": "3",
  "biocViews": "GeneExpression, GeneSetEnrichment, GeneTarget, miRNA,\nPathways",
  "URL": "https://github.com/pouryany/PanomiR",
  "BugReports": "https://github.com/pouryany/PanomiR/issues",
  "VignetteBuilder": "knitr",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 12:57:46 UTC",
  "RemoteUrl": "https://github.com/bioc/PanomiR",
  "RemoteRef": "HEAD",
  "RemoteSha": "d0a6310a04046e164845a0e7fdec6f72dfc3f2d1",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-30 07:23:50 UTC",
    "User": "root"
  },
  "Author": "Pourya Naderi [aut, cre],\nYue Yang (Alan) Teo [aut],\nIlya Sytchev [aut],\nWinston Hide [aut]",
  "Maintainer": "Pourya Naderi <pouryany@gmail.com>",
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  "_created": "2026-05-30T07:23:50.000Z",
  "_published": "2026-05-30T10:51:43.472Z",
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  "_topics": [
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    "genesetenrichment",
    "genetarget",
    "mirna",
    "pathways"
  ],
  "_stars": 3,
  "_contributors": [
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    "description": "Software for the analysis and comprehension of high-throughput genomic data"
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  "_downloads": {
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    "source": "https://www.bioconductor.org/packages/stats/bioc/PanomiR"
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  "_devurl": "https://github.com/pouryany/panomir",
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  "_assets": [
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  "_exports": [
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    "differentialPathwayAnalysis",
    "getDesignMatrix",
    "linColumnFinder",
    "mappingPathwaysClusters",
    "miRNAPathwayEnrichment",
    "pathwayGeneTab",
    "pathwaySummary",
    "prioritizeMicroRNA",
    "reportEnrichment",
    "tableFromGSC"
  ],
  "_datasets": [
    {
      "name": "gscExample",
      "title": "Example genesets from MSigDB",
      "object": "gscExample",
      "file": "gscExample.rda",
      "class": [
        "GeneSetCollection"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "miniTestsPanomiR",
      "title": "Readouts and datasets for minimal reproducible examples of the PanomiR.",
      "object": "miniTestsPanomiR",
      "file": "miniTestsPanomiR.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "msigdb_c2",
      "title": "Canonical pathways from Molecular Signatures Database, MsigDb V6.2",
      "object": "msigdb_c2",
      "file": "msigdb_c2.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "path_gene_table",
      "title": "A table of gene-pathway association. based on the pathways of MSigDB.",
      "object": "path_gene_table",
      "file": "path_gene_table.rda",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Pathway",
        "ENTREZID",
        "ENSEMBL"
      ],
      "rows": 60715,
      "table": true,
      "tojson": true
    },
    {
      "name": "targetScan_03",
      "title": "A processed list of miRNA target gene sets from the TargetScan dataset. Each list item is a list of genes targeted by the respective miRNA family",
      "object": "targetScan_03",
      "file": "targetScan_03.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "alignToUniverse",
      "title": "function to align a list of sets and a reference universe",
      "topics": [
        "alignToUniverse"
      ]
    },
    {
      "page": "clusterPlot",
      "title": "Plots clusters of pathways with associated directionality.",
      "topics": [
        "clusterPlot"
      ]
    },
    {
      "page": "differentialPathwayAnalysis",
      "title": "Differential Expression Analysis For Pathways",
      "topics": [
        "differentialPathwayAnalysis"
      ]
    },
    {
      "page": "enrichAllPairs",
      "title": "Pairwise enrichment analysis between two given lists of sets",
      "topics": [
        "enrichAllPairs"
      ]
    },
    {
      "page": "getDesignMatrix",
      "title": "Obtain Design Matrix",
      "topics": [
        "getDesignMatrix"
      ]
    },
    {
      "page": "getDiffExpTable",
      "title": "function to get a DE table",
      "topics": [
        "getDiffExpTable"
      ]
    },
    {
      "page": "getResidual",
      "title": "function to get residuals with respect to a set of covariates",
      "topics": [
        "getResidual"
      ]
    },
    {
      "page": "gscExample",
      "title": "Example genesets from MSigDB",
      "topics": [
        "gscExample"
      ]
    },
    {
      "page": "jackKnifeBase",
      "title": "Outputs a table with col x (miRNA), probability of observing k (depending on methodology) against a random distribution with jack-knifing of the pathway cluster (removing a pathway at a time)",
      "topics": [
        "jackKnifeBase"
      ]
    },
    {
      "page": "linColumnFinder",
      "title": "Function imported from https://github.com/th1vairam/CovariateAnalysis Modified from http://stackoverflow.com/questions/13088770/ Function to find linearly dependednt columns of a matrix",
      "topics": [
        "linColumnFinder"
      ]
    },
    {
      "page": "mappingPathwaysClusters",
      "title": "Outputs a table with pathways and their respective clusters",
      "topics": [
        "mappingPathwaysClusters"
      ]
    },
    {
      "page": "methodProbBase",
      "title": "Outputs a table with col x, miRNA, probability of observing k against a random distribution of the cover of methodology",
      "topics": [
        "methodProbBase"
      ]
    },
    {
      "page": "miniTestsPanomiR",
      "title": "Readouts and datasets for minimal reproducible examples of the PanomiR.",
      "topics": [
        "miniTestsPanomiR"
      ]
    },
    {
      "page": "miRNAPathwayEnrichment",
      "title": "Enrichment Probability Of miRNAs",
      "topics": [
        "miRNAPathwayEnrichment"
      ]
    },
    {
      "page": "msigdb_c2",
      "title": "Canonical pathways from Molecular Signatures Database, MsigDb V6.2",
      "topics": [
        "msigdb_c2"
      ]
    },
    {
      "page": "path_gene_table",
      "title": "A table of gene-pathway association. based on the pathways of MSigDB.",
      "topics": [
        "path_gene_table"
      ]
    },
    {
      "page": "pathwayGeneTab",
      "title": "Pathway-Gene Associations",
      "topics": [
        "pathwayGeneTab"
      ]
    },
    {
      "page": "pathwaySummary",
      "title": "Pathway Summary Statistics",
      "topics": [
        "pathwaySummary"
      ]
    },
    {
      "page": "pcxnToNet",
      "title": "Creates a network out of pcxn table",
      "topics": [
        "pcxnToNet"
      ]
    },
    {
      "page": "prioritizeMicroRNA",
      "title": "Prioritize miRNA",
      "topics": [
        "prioritizeMicroRNA"
      ]
    },
    {
      "page": "reportEnrichment",
      "title": "Publication-ready miRNA-Pathway Enrichment table",
      "topics": [
        "reportEnrichment"
      ]
    },
    {
      "page": "samplingDataBase",
      "title": "Outputs a table of sampling data(rows are miRNA and cols are samples)",
      "topics": [
        "samplingDataBase"
      ]
    },
    {
      "page": "tableFromGSC",
      "title": "Pathway-Gene Associations from GeneSet collections",
      "topics": [
        "tableFromGSC"
      ]
    },
    {
      "page": "targetScan_03",
      "title": "A processed list of miRNA target gene sets from the TargetScan dataset. Each list item is a list of genes targeted by the respective miRNA family",
      "topics": [
        "targetScan_03"
      ]
    }
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      "source": "PanomiR.Rmd",
      "filename": "PanomiR.html",
      "title": "miRNA and pathway analysis with PanomiR",
      "author": "Pourya Naderi, Alan Teo, Ilya Sytchev, and Winston Hide",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Installation",
        "Overview",
        "Pathway summarization",
        "Differential Pathway activation",
        "Finding clusters of pathways",
        "Prioritizing miRNAs per cluster of pathways.",
        "Enrichment reference",
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        "Sampling parameter",
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        "Customized genesets and recommendations",
        "Session info",
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