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| -rw-r--r-- | gnu/packages/bioconductor.scm | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index d27419428f..facfb75abf 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -5751,6 +5751,38 @@ a scRNA-seq experiment onto the cell-types or individual cells identified in a different experiment.") (license license:gpl3))) +(define-public r-scry + (package + (name "r-scry") + (version "1.8.0") + (source (origin + (method url-fetch) + (uri (bioconductor-uri "scry" version)) + (sha256 + (base32 + "16mj21r91jy8ircdz8rfrdli9gjy0hrx90kf6ghs305d3d4dl193")))) + (properties `((upstream-name . "scry"))) + (build-system r-build-system) + (propagated-inputs + (list r-biocsingular + r-delayedarray + r-glmpca + r-hdf5array + r-matrix + r-singlecellexperiment + r-summarizedexperiment)) + (native-inputs (list r-knitr)) + (home-page "https://bioconductor.org/packages/scry.html") + (synopsis "Small-count analysis methods for high-dimensional data") + (description + "Many modern biological datasets consist of small counts that are not +well fit by standard linear-Gaussian methods such as principal component +analysis. This package provides implementations of count-based feature +selection and dimension reduction algorithms. These methods can be used to +facilitate unsupervised analysis of any high-dimensional data such as +single-cell RNA-seq.") + (license license:artistic2.0))) + (define-public r-seqlogo (package (name "r-seqlogo") |