Package: FiRE
Title: Finder of Rare Entities (FiRE)
Version: 1.0.1
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 sample in voluminous datasets.
    The algorithm makes multiple estimations of the proximity between a pair of samples, in low-dimensional spaces. To compute proximity, FiRE uses Sketching, a variant of locality sensitive hashing. For more details: Jindal, A., Gupta, P., Jayadeva and Sengupta, D., 2018. Discovery of rare cells from voluminous single cell expression data. Nature Communications, 9(1), p.4719. <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
        [cran-package]
Depends: R (>= 3.2.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: methods, Rcpp (>= 0.12.19)
LinkingTo: Rcpp, BH
NeedsCompilation: yes
Author: Prashant Gupta [aut, cre],
  Aashi Jindal [aut],
  Jayadeva [aut],
  Debarka Sengupta [aut]
Maintainer: Prashant Gupta <prashant10991@gmail.com>
Repository: CRAN
Packaged: 2021-09-06 08:46:17 UTC; prashant
Date/Publication: 2021-09-06 09:20:08 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-05-21 12:11:04 UTC; windows
Archs: x64
