{
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  "Package": "hypergate",
  "Title": "Machine Learning of Hyperrectangular Gating Strategies for\nHigh-Dimensional Cytometry",
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  "Authors@R": "c(\nperson(\"Etienne\",\"Becht\",email=\"etienne.becht@protonmail.com\",role=c(\"cre\",\"aut\")),\nperson(\"Samuel\",\"Granjeaud\",email=\"samuel.granjeaud@inserm.fr\",role=c(\"ctb\"))\n)",
  "Description": "Given a high-dimensional dataset that typically represents\na cytometry dataset, and a subset of the datapoints, this\nalgorithm outputs an hyperrectangle so that datapoints within\nthe hyperrectangle best correspond to the specified subset. In\nessence, this allows the conversion of clustering algorithms'\noutputs to gating strategies outputs.",
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  "Author": "Etienne Becht [cre, aut], Samuel Granjeaud [ctb]",
  "Maintainer": "Etienne Becht <etienne.becht@protonmail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2024-01-17 02:41:01 UTC",
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    "color_biplot_by_discrete",
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    "gate_from_biplot",
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    "hgate_pheno",
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    "hgate_sample",
    "hypergate",
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      "title": "2000 events randomly sampled from the 'Samusik_01' dataset",
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      "page": "boolmat",
      "title": "boolmat",
      "topics": [
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      ]
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      "title": "channels_contributions",
      "topics": [
        "channels_contributions"
      ]
    },
    {
      "page": "color_biplot_by_discrete",
      "title": "Colors a biplot according to a vector with discrete values",
      "topics": [
        "color_biplot_by_discrete"
      ]
    },
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      "page": "contract",
      "title": "contract",
      "topics": [
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      ]
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      "title": "contract.update",
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      ]
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      "page": "coreloop",
      "title": "coreloop",
      "topics": [
        "coreloop"
      ]
    },
    {
      "page": "en.locator",
      "title": "Wrapper to locator that plots segments on the fly",
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    {
      "page": "expand",
      "title": "expand",
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      "title": "expand.update",
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      "page": "f",
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    },
    {
      "page": "F_beta",
      "title": "F_beta",
      "topics": [
        "F_beta"
      ]
    },
    {
      "page": "fill_FNTN_matrix",
      "title": "fill_FNTN_matrix",
      "topics": [
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      ]
    },
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      "title": "FNTN_matrix.recycle",
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      "topics": [
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      "topics": [
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      "filename": "Hypergate.html",
      "title": "Hypergate",
      "author": "Etienne Becht",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Package installation",
        "Data loading",
        "Specifying the cell subset of interest",
        "Selection from low-dimensional plot",
        "Clustering",
        "Running Hypergate",
        "Interpreting and polishing the results",
        "Gating datapoints",
        "Examining the output",
        "Channels contributions",
        "Reoptimize strategy",
        "Human-readable output",
        "Final notes",
        "Which channels to use as input?",
        "How big can the input matrix be?"
      ],
      "created": "2018-05-14 09:45:52",
      "modified": "2019-04-17 20:20:03",
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