carmonalab/UCell: Rank-based signature enrichment analysis for single-cell data

UCell is a package for evaluating gene signatures in single-cell datasets. UCell signature scores, based on the Mann-Whitney U statistic, are robust to dataset size and heterogeneity, and their calculation demands less computing time and memory than other available methods, enabling the processing of large datasets in a few minutes even on machines with limited computing power. UCell can be applied to any single-cell data matrix, and includes functions to directly interact with SingleCellExperiment and Seurat objects.

Getting started

Package details

Bioconductor views CellBasedAssays GeneExpression GeneSetEnrichment SingleCell Transcriptomics
LicenseGPL-3 + file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
carmonalab/UCell documentation built on May 7, 2024, 8:39 a.m.