{
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  "Package": "gINTomics",
  "Title": "Multi-Omics data integration",
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  "Authors@R": "c(person(\"Angelo\", \"Velle\", role = c(\"cre\", \"aut\"),\nemail = \"angelo.velle@unipd.it\",\ncomment = c(ORCID = \"0000-0002-4010-6390\")),\nperson(\"Francesco\", \"Patane'\", role = \"aut\",\nemail = \"francesco.patane@unipd.it\",\ncomment = c(ORCID = \"0009-0001-8619-447X\")),\nperson(\"Chiara\", \"Romualdi\", role = \"aut\",\nemail = \"chiara.romualdi@unipd.it\",\ncomment = c(ORCID = \"0000-0003-4792-9047\")))",
  "Description": "gINTomics is an R package for Multi-Omics data integration\nand visualization. gINTomics is designed to detect the\nassociation between the expression of a target and of its\nregulators, taking into account also their genomics\nmodifications such as Copy Number Variations (CNV) and\nmethylation. What is more, gINTomics allows integration results\nvisualization via a Shiny-based interactive app.",
  "License": "AGPL-3",
  "biocViews": "GeneExpression, RNASeq, Microarray, Visualization,\nCopyNumberVariation, GeneTarget",
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  "BugReports": "https://github.com/angelovelle96/gINTomics/issues",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 13:03:03 UTC",
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  "Author": "Angelo Velle [cre, aut] (ORCID:\n<https://orcid.org/0000-0002-4010-6390>),\nFrancesco Patane' [aut] (ORCID:\n<https://orcid.org/0009-0001-8619-447X>),\nChiara Romualdi [aut] (ORCID: <https://orcid.org/0000-0003-4792-9047>)",
  "Maintainer": "Angelo Velle <angelo.velle@unipd.it>",
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      "title": "plotting enrichment",
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        "extract_model_res,list-method",
        "extract_model_res,MultiClass-method",
        "extract_model_res,MultiOmics-method"
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      "title": "miRNA IDs. Dataset containing lastly definition of miRNAs (Names, Accessions, Sequences, Families and others) from different miRBase versions (From miRBase version 6 to version 22).",
      "topics": [
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      ]
    },
    {
      "page": "mmultiassay_ov",
      "title": "Example data for a standard workflow. This is an example dataset containing a MultiAssayExperiment of 20 ovarian cancer (OVC) patients extracted from the Cancer Genome Atlas (TCGA) database. The object contains all the available input data types: Gene expression data, miRNA expression data, gene methylation data, gene Copy Number Variations and miRNA Copy Number Variations.",
      "topics": [
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      "page": "run_shiny",
      "title": "Start a Shiny application for integrated multi-omics data analysis.",
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