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  "Package": "FiRE",
  "Title": "Finder of Rare Entities (FiRE)",
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  "Authors@R": "c(person(\"Prashant\", \"Gupta\", email = \"prashant10991@gmail.com\", role = c(\"aut\", \"cre\")), person(\"Aashi\", \"Jindal\", email = \"jindal.aashi21@gmail.com\", role = c(\"aut\")), person(\"Jayadeva\", email = \"iitjd4@gmail.com\", role = c(\"aut\")) ,person(\"Debarka\", \"Sengupta\", email = \"debarka@gmail.com\", role = c(\"aut\")))",
  "Description": "The algorithm assigns rareness/ outlierness score to every\nsample in voluminous datasets. The algorithm makes multiple\nestimations of the proximity between a pair of samples, in\nlow-dimensional spaces. To compute proximity, FiRE uses\nSketching, a variant of locality sensitive hashing. For more\ndetails: Jindal, A., Gupta, P., Jayadeva and Sengupta, D.,\n2018. Discovery of rare cells from voluminous single cell\nexpression data. Nature Communications, 9(1), p.4719.\n<doi:10.1038/s41467-018-07234-6>.",
  "URL": "https://github.com/princethewinner/FiRE",
  "BugReports": "https://github.com/princethewinner/FiRE/issues",
  "Note": "While reporting issues on github start subject line with\n[cran-package]",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "LazyDataCompression": "xz",
  "NeedsCompilation": "yes",
  "Author": "Prashant Gupta [aut, cre], Aashi Jindal [aut], Jayadeva [aut],\nDebarka Sengupta [aut]",
  "Maintainer": "Prashant Gupta <prashant10991@gmail.com>",
  "Packaged": {
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  "Date/Publication": "2021-09-06 08:20:08 UTC",
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
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      "page": "FiRE-package",
      "title": "Finder of Rare Entities (FiRE) - To assign rareness/ outlierness score to every sample",
      "concept": [
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        "Rare",
        "Rare cells",
        "Rare events",
        "Hashing",
        "Outlier detection",
        "Anomaly detection"
      ],
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        "FiRE",
        "Rcpp_FiRE"
      ]
    },
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      "page": "FiRE",
      "title": "Constructor for Class",
      "topics": [
        "Rcpp_FiRE-class"
      ]
    },
    {
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      "title": "Hash samples in bins",
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        "fit"
      ]
    },
    {
      "page": "data",
      "title": "Preprocessed 293T–Jurkat scRNA-seq dataset",
      "topics": [
        "sample_data"
      ]
    },
    {
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      "title": "Labels of preprocessed 293T–Jurkat scRNA-seq dataset",
      "topics": [
        "sample_label"
      ]
    },
    {
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      ]
    }
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