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UCell

This is thereleased version of UCell; for the devel version, seeUCell.

Rank-based signature enrichment analysis for single-cell data

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DOI: 10.18129/B9.bioc.UCell


Bioconductor version: Release (3.22)

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, 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 appropriateBioconductor 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 UCellHTMLR Script
2. Using UCell with SingleCellExperimentHTMLR Script
3. Using UCell with SeuratHTMLR Script
4. Some important parameters for UCellHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsCellBasedAssays,GeneExpression,GeneSetEnrichment,SingleCell,Software,Transcriptomics
Version2.14.0
In Bioconductor sinceBioC 3.15 (R-4.2) (3.5 years)
LicenseGPL-3 + fileLICENSE
DependsR (>= 4.3.0)
Importsmethods,data.table (>= 1.13.6),Matrix, stats,BiocParallel,BiocNeighbors,SingleCellExperiment,SummarizedExperiment
System Requirements
URLhttps://github.com/carmonalab/UCell
Bug Reportshttps://github.com/carmonalab/UCell/issues
See More
Suggestsscater,scRNAseq,reshape2,patchwork,ggplot2,BiocStyle,Seurat (>= 5.0.0),SeuratObject (>= 5.0.0),knitr,rmarkdown
Linking To
Enhances
Depends On Me
Imports MescGate
Suggests Meescape,scLANE,SCpubr
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageUCell_2.14.0.tar.gz
Windows Binary (x86_64) UCell_2.14.0.zip
macOS Binary (x86_64)UCell_2.14.0.tgz
macOS Binary (arm64)UCell_2.14.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/UCell
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/UCell
Bioc Package Browserhttps://code.bioconductor.org/browse/UCell/
Package Short Urlhttps://bioconductor.org/packages/UCell/
Package Downloads ReportDownload Stats

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