This is the released version of UCell; for the devel version, see UCell.
Rank-based signature enrichment analysis for single-cell dataBioconductor version: Release (3.21)
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.
Author: Massimo Andreatta [aut, cre] ORCID: 0000-0002-8036-2647 , Santiago Carmona [aut] ORCID: 0000-0002-2495-0671
Maintainer: Massimo Andreatta <massimo.andreatta at unil.ch>
Citation (from within R, entercitation("UCell")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("UCell")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("UCell")Follow Installation instructions to use this package in your R session.
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