Bioconductor 3.22 Released

UCell

This is the development version of UCell; for the stable release version, see UCell.

Rank-based signature enrichment analysis for single-cell data


Bioconductor version: Development (3.23)

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 iD ORCID: 0000-0002-8036-2647 , Santiago Carmona [aut] ORCID iD ORCID: 0000-0002-2495-0671

Maintainer: Massimo Andreatta <massimo.andreatta at unige.ch>

Citation (from within R, enter citation("UCell")):

Installation

To install this package, start R (version "4.6") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("UCell")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("UCell")
1. Gene signature scoring with UCell HTML R Script
2. Using UCell with SingleCellExperiment HTML R Script
3. Using UCell with Seurat HTML R Script
4. Some important parameters for UCell HTML R Script
Reference Manual PDF

Details

biocViews CellBasedAssays, GeneExpression, GeneSetEnrichment, SingleCell, Software, Transcriptomics
Version 2.15.0
In Bioconductor since BioC 3.15 (R-4.2) (3.5 years)
License GPL-3 + file LICENSE
Depends R (>= 4.3.0)
Imports methods, data.table (>= 1.13.6), Matrix, stats, BiocParallel, BiocNeighbors, SingleCellExperiment, SummarizedExperiment
System Requirements
URL https://github.com/carmonalab/UCell
Bug Reports https://github.com/carmonalab/UCell/issues
See More
Suggests scater, scRNAseq, reshape2, patchwork, ggplot2, BiocStyle, Seurat (>= 5.0.0), SeuratObject (>= 5.0.0), knitr, rmarkdown
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package UCell_2.15.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/UCell
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/UCell
Bioc Package Browser https://code.bioconductor.org/browse/UCell/
Package Short Url https://bioconductor.org/packages/UCell/
Package Downloads Report Download Stats