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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.1 rolling source/ R- FiRE_1.0.1.tar.gz 1.6 MiB
1.0.1 latest source/ R- FiRE_1.0.1.tar.gz 1.6 MiB
1.0.1 2026-04-23 source/ R- FiRE_1.0.1.tar.gz 1.6 MiB
1.0.1 2026-04-09 windows/windows R-4.5 FiRE_1.0.1.zip 1.9 MiB

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