Package: UCell 2.17.0
UCell: Rank-based signature enrichment analysis for single-cell data
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.
Authors:
UCell_2.17.0.tar.gz
UCell_2.17.0.zip(r-4.7)UCell_2.17.0.zip(r-4.6)UCell_2.17.0.zip(r-4.5)
UCell_2.17.0.tgz(r-4.6-any)UCell_2.17.0.tgz(r-4.5-any)
UCell_2.17.0.tar.gz(r-4.7-any)UCell_2.17.0.tar.gz(r-4.6-any)
UCell_2.17.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
UCell/json (API)
NEWS
| # Install 'UCell' in R: |
| install.packages('UCell', repos = c('https://carmonalab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/carmonalab/ucell/issues
- sample.matrix - Sample dataset to test UCell installation
On BioConductor:UCell-2.17.0(bioc 3.24)UCell-2.16.0(bioc 3.23)
singlecellgenesetenrichmenttranscriptomicsgeneexpressioncellbasedassays
Last updated from:15b029a9bf. Checks:7 WARNING, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 315 | ||
| source / vignettes | OK | 761 | ||
| linux-release-x86_64 | WARNING | 423 | ||
| macos-release-arm64 | WARNING | 233 | ||
| macos-oldrel-arm64 | WARNING | 183 | ||
| windows-devel | WARNING | 1435 | ||
| windows-release | WARNING | 1468 | ||
| windows-oldrel | WARNING | 1376 | ||
| wasm-release | OK | 222 |
Exports:AddModuleScore_UCellScoreSignatures_UCellSmoothKNNStoreRankings_UCell
Dependencies:abindassortheadbeachmatBHBiobaseBiocGenericsBiocNeighborsBiocParallelcodetoolscpp11data.tableDelayedArrayformatRfutile.loggerfutile.optionsgenericsGenomicRangesIRangeslambda.rlatticeMatrixMatrixGenericsmatrixStatsRcppS4ArraysS4VectorsSeqinfoSingleCellExperimentsnowSparseArraySummarizedExperimentXVector
Gene signature scoring with UCell
Rendered fromUCell_vignette_basic.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2025-10-01
Started: 2022-02-03
Using UCell with SingleCellExperiment
Rendered fromUCell_sce.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2025-10-01
Started: 2022-08-05
Using UCell with Seurat
Rendered fromUCell_Seurat.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2025-10-01
Started: 2022-08-05
Some important parameters for UCell
Rendered fromUCell_parameters.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2025-10-01
Started: 2025-10-01
