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author | Mădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de> | 2023-11-06 12:06:47 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2023-11-13 15:05:26 +0100 |
commit | 17978740e52cba864ec96a3a64cc79995f624ebb (patch) | |
tree | 23a81ad87c141d31cb004b9be2771218a431f850 /gnu/packages | |
parent | f95519432175d7a9061152132f4a7387e0e513a9 (diff) | |
download | guix-17978740e52cba864ec96a3a64cc79995f624ebb.tar.gz guix-17978740e52cba864ec96a3a64cc79995f624ebb.zip |
gnu: Add r-baynorm.
* gnu/packages/bioconductor.scm (r-baynorm): New variable.
Change-Id: I83e82d3d0362874918f423ab01f038c74f3eb265
Diffstat (limited to 'gnu/packages')
-rw-r--r-- | gnu/packages/bioconductor.scm | 39 |
1 files changed, 39 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 80de46ac2a..e70a528b04 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -22828,6 +22828,45 @@ resolution of the low-dimensional representation into \"sub-spots\", for which features such as gene expression or cell type composition can be imputed.") (license license:expat))) +(define-public r-baynorm + (package + (name "r-baynorm") + (version "1.20.0") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "bayNorm" version)) + (sha256 + (base32 "01lv4w1x43x3f9sdrqikhsr1gdvkgqzrgcd9wnjj76qsljn57ifq")))) + (properties `((upstream-name . "bayNorm"))) + (build-system r-build-system) + (propagated-inputs + (list r-bb + r-biocparallel + r-dosnow + r-fitdistrplus + r-foreach + r-iterators + r-locfit + r-mass + r-matrix + r-rcpp + r-rcpparmadillo + r-rcppprogress + r-singlecellexperiment + r-summarizedexperiment)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/WT215/bayNorm") + (synopsis "Single-cell RNA sequencing data normalization") + (description + "The bayNorm package is used for normalizing single-cell RNA-seq data. +The main function is @code{bayNorm}, which is a wrapper function for gene +specific prior parameter estimation and normalization. The input is a matrix +of scRNA-seq data with rows different genes and coloums different cells. The +output is either point estimates from posterior (2D array) or samples from +posterior (3D array).") + (license license:gpl2+))) + (define-public r-biocthis (package (name "r-biocthis") |