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
Depends: R (≥ 3.2.0)
Imports: methods, Rcpp (≥ 0.12.19)
LinkingTo: Rcpp, BH
Published: 2019-01-02
Author: Prashant Gupta [aut, cre], Aashi Jindal [aut], Jayadeva [aut], Debarka Sengupta [aut]
Maintainer: Prashant Gupta <prashant10991 at gmail.com>
BugReports: https://github.com/princethewinner/FiRE/issues
License: GPL-3
URL: https://github.com/princethewinner/FiRE
NeedsCompilation: yes
CRAN checks: FiRE results

Downloads:

Reference manual: FiRE.pdf
Package source: FiRE_1.0.tar.gz
Windows binaries: r-devel: FiRE_1.0.zip, r-release: FiRE_1.0.zip, r-oldrel: FiRE_1.0.zip
OS X binaries: r-release: FiRE_1.0.tgz, r-oldrel: not available

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