Learn R Programming

FiRE (version 1.0.1)

Finder of Rare Entities (FiRE)

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. .

Copy Link

Version

Install

install.packages('FiRE')

Monthly Downloads

207

Version

1.0.1

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Prashant Gupta

Last Published

September 6th, 2021

Functions in FiRE (1.0.1)

FiRE-package

Finder of Rare Entities (FiRE) - To assign rareness/ outlierness score to every sample
FiRE

Constructor for Class
sample_label

Labels of preprocessed 293T<U+2013>Jurkat scRNA-seq dataset
sample_data

Preprocessed 293T<U+2013>Jurkat scRNA-seq dataset
fit

Hash samples in bins
score

Compute score on hashed sample.