{
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  "Package": "combiroc",
  "Title": "Selection and Ranking of Omics Biomarkers Combinations Made Easy",
  "Date": "2023-07-04",
  "Version": "0.3.4",
  "Language": "en-US",
  "Authors@R": "c(person(given = \"Ivan\",\nfamily = \"Ferrari\",\nrole = \"aut\",\nemail = \"ferrari@ingm.org\",\ncomment = c(ORCID = \"0000-0003-3746-4143\")),\nperson(given = \"Riccardo L.\",\nfamily = \"Rossi\",\nrole = c(\"aut\", \"cre\"),\nemail = \"ric.rossi@gmail.com\",\ncomment = c(ORCID = \"0000-0002-4964-3264\")),\nperson(given = \"Saveria\",\nfamily = \"Mazzara\",\nrole = \"aut\",\nemail = \"saveria.mazzara@gmail.com\",\ncomment = c(ORCID = \"0000-0003-1799-2360\")),\nperson(given = \"Mauro\",\nfamily = \"Bombaci\",\nrole = c(\"ccp\", \"ctb\", \"dtc\"),\nemail = \"bombaci@ingm.org\",\ncomment = c(ORCID = \"0000-0002-9887-4165\")))",
  "Description": "Provides functions and a workflow to easily and powerfully\ncalculating specificity, sensitivity and ROC curves of\nbiomarkers combinations. Allows to rank and select\nmulti-markers signatures as well as to find the best performing\nsub-signatures, now also from single-cell RNA-seq datasets. The\nmethod used was first published as a Shiny app and described in\nMazzara et al. (2017) <doi:10.1038/srep45477> and further\ndescribed in Bombaci & Rossi (2019)\n<doi:10.1007/978-1-4939-9164-8_16>, and widely expanded as a\npackage as presented in the bioRxiv pre print Ferrari et al.\n<doi:10.1101/2022.01.17.476603>.",
  "License": "MIT + file LICENSE",
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  "URL": "https://doi.org/10.1101/2022.01.17.476603,\nhttps://github.com/ingmbioinfo/combiroc",
  "BugReports": "https://github.com/ingmbioinfo/combiroc/issues",
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  "Repository": "https://ingmbioinfo.r-universe.dev",
  "Date/Publication": "2026-01-07 10:07:34 UTC",
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  "Author": "Ivan Ferrari [aut] (ORCID: <https://orcid.org/0000-0003-3746-4143>),\nRiccardo L. Rossi [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-4964-3264>),\nSaveria Mazzara [aut] (ORCID: <https://orcid.org/0000-0003-1799-2360>),\nMauro Bombaci [ccp, ctb, dtc] (ORCID:\n<https://orcid.org/0000-0002-9887-4165>)",
  "Maintainer": "Riccardo L. Rossi <ric.rossi@gmail.com>",
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    "ranked_combs",
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      "title": "A demo dataset with proteomics markers",
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        "Class",
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        "Marker2",
        "Marker3",
        "Marker4",
        "Marker5"
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      "title": "A demo dataset with unlabeled proteomics markers",
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      ],
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        "Marker1",
        "Marker2",
        "Marker3",
        "Marker4",
        "Marker5"
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      "table": true,
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      "page": "combi",
      "title": "Compute combinations.",
      "topics": [
        "combi"
      ]
    },
    {
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      "title": "Compute the combi score using glm(link='binomial') models and optionally classifies the samples.",
      "topics": [
        "combi_score"
      ]
    },
    {
      "page": "combiroc_long",
      "title": "Reshape combiroc data in long format.",
      "topics": [
        "combiroc_long"
      ]
    },
    {
      "page": "combs_with",
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      "topics": [
        "combs_with"
      ]
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      "page": "demo_data",
      "title": "A demo dataset with proteomics markers",
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        "demo_data"
      ]
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    {
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      "title": "A demo dataset with unlabeled proteomics markers",
      "topics": [
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      "page": "load_data",
      "title": "Load CombiROC data.",
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        "load_data"
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    },
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      "topics": [
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      "topics": [
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    },
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