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author | Ricardo Wurmus <rekado@elephly.net> | 2023-07-19 15:05:09 +0200 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2023-07-19 15:29:14 +0200 |
commit | e74e9f62405e6ff20f2a23c2c6c64c7007c52b9e (patch) | |
tree | 1aecddaeb3cb5909a82dd682fe5564ec77db78fb | |
parent | efec1a8453380c61bf87e978a91989267b91ac4c (diff) | |
download | guix-e74e9f62405e6ff20f2a23c2c6c64c7007c52b9e.tar.gz |
gnu: r-cellid: Move out of experiments section.
* gnu/packages/bioconductor.scm (r-cellid): Move from experiments section to packages section.
-rw-r--r-- | gnu/packages/bioconductor.scm | 90 |
1 files changed, 45 insertions, 45 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index b60b98d7bb..b19daa2e3f 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -1436,51 +1436,6 @@ 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") @@ -4220,6 +4175,51 @@ scRNA-seq data. A flexible beta-binomial error model that accounts for stochastic dropout events as well as systematic allelic imbalance is used.") (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-coverageview (package (name "r-coverageview") |