FiRE: Finder of Rare Entities (FiRE)

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>.

Version: 1.0.1
Depends: R (≥ 3.2.0)
Imports: methods, Rcpp (≥ 0.12.19)
LinkingTo: Rcpp, BH
Published: 2021-09-06
DOI: 10.32614/CRAN.package.FiRE
Author: Prashant Gupta [aut, cre], Aashi Jindal [aut], Jayadeva [aut], Debarka Sengupta [aut]
Maintainer: Prashant Gupta <prashant10991 at>
License: GPL-3
NeedsCompilation: yes
In views: Omics
CRAN checks: FiRE results


Reference manual: FiRE.pdf


Package source: FiRE_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): FiRE_1.0.1.tgz, r-oldrel (arm64): FiRE_1.0.1.tgz, r-release (x86_64): FiRE_1.0.1.tgz, r-oldrel (x86_64): FiRE_1.0.1.tgz
Old sources: FiRE archive


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