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>.
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE
r-oldrel-macos-arm64
installed package size
installed size is 5.2Mb
sub-directories of 1Mb or more:
data 2.6Mb
libs 2.5Mb
NOTE
r-oldrel-macos-x86_64
installed package size
installed size is 5.2Mb
sub-directories of 1Mb or more:
data 2.6Mb
libs 2.5Mb