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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 gmail.com>
BugReports: https://github.com/princethewinner/FiRE/issues
License: GPL-3
URL: https://github.com/princethewinner/FiRE
NeedsCompilation: yes
In views: Omics
CRAN checks: FiRE results

Documentation:

Reference manual: FiRE.pdf

Downloads:

Package source: FiRE_1.0.1.tar.gz
Windows binaries: r-devel: FiRE_1.0.1.zip, r-release: FiRE_1.0.1.zip, r-oldrel: FiRE_1.0.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FiRE to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.