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author | Navid Afkhami <navid.afkhami@mdc-berlin.de> | 2023-06-23 13:48:55 +0000 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2023-07-03 09:58:57 +0200 |
commit | 11651fbf7f1908351261dc6c9dd6a967acaabbc5 (patch) | |
tree | 58d2788af86bae5c6290bd481c1fbbc931aed521 /gnu/packages/bioconductor.scm | |
parent | 6398fa786032ad0919267019e260082354980635 (diff) | |
download | guix-11651fbf7f1908351261dc6c9dd6a967acaabbc5.tar.gz guix-11651fbf7f1908351261dc6c9dd6a967acaabbc5.zip |
gnu: Add r-cellid.
* gnu/packages/bioconductor.scm (r-cellid): New variable.
Diffstat (limited to 'gnu/packages/bioconductor.scm')
-rw-r--r-- | gnu/packages/bioconductor.scm | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 00701c4463..a566279441 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -1436,6 +1436,51 @@ curated cell type labels, for use in procedures like automated annotation of single-cell data or deconvolution of bulk RNA-seq.") (license license:gpl3))) +(define-public r-cellid + (package + (name "r-cellid") + (version "1.8.1") + (source (origin + (method url-fetch) + (uri (bioconductor-uri "CelliD" version)) + (sha256 + (base32 + "0vigvqjrlqbi5kviaj8qvyq3v8afgbc5pjrz7zmx2ckf4hdp0g03")))) + (properties `((upstream-name . "CelliD"))) + (build-system r-build-system) + (propagated-inputs + (list r-data-table + r-biocparallel + r-fastmatch + r-fgsea + r-ggplot2 + r-glue + r-irlba + r-matrix + r-matrixstats + r-pbapply + r-rcpp + r-rcpparmadillo + r-reticulate + r-rtsne + r-seurat + r-stringr + r-tictoc + r-singlecellexperiment + r-summarizedexperiment + r-umap)) + (native-inputs (list r-knitr r-scater)) + (home-page "https://bioconductor.org/packages/CelliD") + (synopsis + "Single cell gene signature extraction using multiple correspondence analysis") + (description + "CelliD is a clustering-free method for extracting per-cell gene +signatures from scRNA-seq. CelliD allows unbiased cell identity recognition +across different donors, tissues-of-origin, model organisms and single-cell +omics protocols. The package can also be used to explore functional pathways +enrichment in single cell data.") + (license license:gpl3))) + (define-public r-champdata (package (name "r-champdata") |