@@ -22512,6 +22512,44 @@ (define-public r-bayesspace
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 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")