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| -rw-r--r-- | gnu/packages/bioconductor.scm | 31 |
1 files changed, 31 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 683ec77213..8f0c3759d7 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -17291,6 +17291,37 @@ non-parametric testing for statistical significance in Ct values between features (e.g. genes, microRNAs).") (license license:artistic2.0))) +(define-public r-ucell + (package + (name "r-ucell") + (version "2.4.0") + (source (origin + (method url-fetch) + (uri (bioconductor-uri "UCell" version)) + (sha256 + (base32 + "01qcwmiqri4xvwr3j4k1g062rfj6bbc0bvh0ifq1jq2xrm1azw9y")))) + (properties `((upstream-name . "UCell"))) + (build-system r-build-system) + (propagated-inputs (list r-biocneighbors + r-biocparallel + r-data-table + r-matrix + r-singlecellexperiment + r-summarizedexperiment)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/carmonalab/UCell") + (synopsis "Rank-based signature enrichment analysis for single-cell data") + (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.") + (license license:gpl3))) + (define-public r-unifiedwmwqpcr (package (name "r-unifiedwmwqpcr") |