{
  "_id": "6a474e306527f6f71f9fd7df",
  "Package": "quantiseqr",
  "Title": "Quantification of the Tumor Immune contexture from RNA-seq data",
  "Version": "1.21.0",
  "Authors@R": "c(\nperson(\ngiven = \"Federico\", family = \"Marini\", role = c(\"aut\", \"cre\"),\nemail = \"marinif@uni-mainz.de\", comment = c(ORCID = \"0000-0003-3252-7758\")\n),\nperson(\ngiven = \"Francesca\", family = \"Finotello\", role = \"aut\",\nemail = \"francesca.finotello@i-med.ac.at\", comment = c(ORCID = \"0000-0003-0712-4658\")\n)\n)",
  "Description": "This package provides a streamlined workflow for the\nquanTIseq method, developed to perform the quantification of\nthe Tumor Immune contexture from RNA-seq data. The\nquantification is performed against the TIL10 signature\n(dissecting the contributions of ten immune cell types),\ncarefully crafted from a collection of human RNA-seq samples.\nThe TIL10 signature has been extensively validated using\nsimulated, flow cytometry, and immunohistochemistry data.",
  "License": "GPL-3",
  "biocViews": "GeneExpression, Software, Transcription, Transcriptomics,\nSequencing, Microarray, Visualization, Annotation,\nImmunoOncology, FeatureExtraction, Classification,\nStatisticalMethod, ExperimentHubSoftware, FlowCytometry",
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  "Encoding": "UTF-8",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 12:55:53 UTC",
  "RemoteUrl": "https://github.com/bioc/quantiseqr",
  "RemoteRef": "HEAD",
  "RemoteSha": "983dfb45626f28d2da5fc52e8a128d98fcebad04",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-07-03 05:45:18 UTC",
    "User": "root"
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  "Author": "Federico Marini [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-3252-7758>),\nFrancesca Finotello [aut] (ORCID:\n<https://orcid.org/0000-0003-0712-4658>)",
  "Maintainer": "Federico Marini <marinif@uni-mainz.de>",
  "MD5sum": "a47b30dd0091d029b036a7b39f57b2db",
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