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
| Maintainer | Massimo Andreatta <massimo.andreatta@unige.ch> |
| Author | Massimo Andreatta [aut, cre] (ORCID: <https://orcid.org/0000-0002-8036-2647>), Santiago Carmona [aut] (ORCID: <https://orcid.org/0000-0002-2495-0671>) |
| License | GPL-3 + file LICENSE |
| URL | https://github.com/carmonalab/UCell |
| Bug Reports | https://github.com/carmonalab/UCell/issues |
| Downloads rank | 2696 |
| Source branch | RELEASE_3_23 |
| biocViews | CellBasedAssays, GeneExpression, GeneSetEnrichment, SingleCell, Software, Transcriptomics |
Documentation
- Gene signature scoring with UCell
- Using UCell with SingleCellExperiment
- Using UCell with Seurat
- Some important parameters for UCell
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