DESCRIPTION

Package: UCell
Type: Package
Title: Rank-based signature enrichment analysis for single-cell data
Version: 2.11.1
Authors@R: c(
  person('Massimo', 'Andreatta', 
     email = 'massimo.andreatta@unil.ch',
     role = c('aut','cre'),
     comment = c(ORCID = '0000-0002-8036-2647')),
  person('Santiago', 'Carmona', 
     email = 'santiago.carmona@unil.ch',
     role = c('aut'),
     comment = c(ORCID = '0000-0002-2495-0671'))
  )
Description: 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.
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
biocViews: SingleCell,
    GeneSetEnrichment,
    Transcriptomics,
    GeneExpression,
    CellBasedAssays
VignetteBuilder: knitr
BugReports: https://github.com/carmonalab/UCell/issues
URL: https://github.com/carmonalab/UCell
License: GPL-3 + file LICENSE
Encoding: UTF-8
LazyData: FALSE
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2