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UCell

Rank-based signature enrichment analysis for single-cell data

Bioconductor version: 3.23 · Package version: 2.16.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("UCell")

Details

MaintainerMassimo Andreatta <massimo.andreatta@unige.ch>
AuthorMassimo Andreatta [aut, cre] (ORCID: <https://orcid.org/0000-0002-8036-2647>), Santiago Carmona [aut] (ORCID: <https://orcid.org/0000-0002-2495-0671>)
LicenseGPL-3 + file LICENSE
URLhttps://github.com/carmonalab/UCell
Bug Reportshttps://github.com/carmonalab/UCell/issues
Downloads rank2696
Source branchRELEASE_3_23
biocViewsCellBasedAssays, GeneExpression, GeneSetEnrichment, SingleCell, Software, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 4.3.0)

Imports: methods, data.table (>= 1.13.6), Matrix, stats, BiocParallel, BiocNeighbors, SingleCellExperiment, SummarizedExperiment

Suggests: scater, scRNAseq, reshape2, patchwork, ggplot2, BiocStyle, Seurat (>= 5.0.0), SeuratObject (>= 5.0.0), knitr, rmarkdown

Reverse dependencies

Imports Me (1): scGate

Suggests Me (4): escape, GSABenchmark, scLANE, SCpubr