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gnu: Add r-ucell.
* gnu/packages/bioconductor.scm (r-ucell): New variable.
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@ -17291,6 +17291,37 @@ (define-public r-htqpcr
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features (e.g. genes, microRNAs).")
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features (e.g. genes, microRNAs).")
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(license license:artistic2.0)))
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(license license:artistic2.0)))
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(define-public r-ucell
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(package
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(name "r-ucell")
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(version "2.4.0")
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(source (origin
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(method url-fetch)
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(uri (bioconductor-uri "UCell" version))
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(sha256
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(base32
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"01qcwmiqri4xvwr3j4k1g062rfj6bbc0bvh0ifq1jq2xrm1azw9y"))))
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(properties `((upstream-name . "UCell")))
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(build-system r-build-system)
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(propagated-inputs (list r-biocneighbors
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r-biocparallel
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r-data-table
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r-matrix
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r-singlecellexperiment
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r-summarizedexperiment))
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(native-inputs (list r-knitr))
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(home-page "https://github.com/carmonalab/UCell")
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(synopsis "Rank-based signature enrichment analysis for single-cell data")
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(description
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"UCell is a package for evaluating gene signatures in single-cell datasets.
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UCell signature scores, based on the Mann-Whitney U statistic, are robust to
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dataset size and heterogeneity, and their calculation demands less computing
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time and memory than other available methods, enabling the processing of large
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datasets in a few minutes even on machines with limited computing power.
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UCell can be applied to any single-cell data matrix, and includes functions to
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directly interact with SingleCellExperiment and Seurat objects.")
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(license license:gpl3)))
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(define-public r-unifiedwmwqpcr
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(define-public r-unifiedwmwqpcr
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(package
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(package
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(name "r-unifiedwmwqpcr")
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(name "r-unifiedwmwqpcr")
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