@@ 5639,6 5639,35 @@ identification of cells from empty droplets, removal of barcode-swapped
pseudo-cells, and downsampling of the count matrix.")
(license license:gpl3)))
+;; This is a CRAN package, but it depends on r-limma from Bioconductor.
+(define-public r-dsb
+ (package
+ (name "r-dsb")
+ (version "1.0.3")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "dsb" version))
+ (sha256
+ (base32 "1xzhd4q04c1vql49r6m4zskpx7f5hkl5hmdgr3gsbxb73xfs51v2"))))
+ (properties `((upstream-name . "dsb")))
+ (build-system r-build-system)
+ (propagated-inputs (list r-limma r-magrittr r-mclust))
+ (native-inputs (list r-knitr r-rmarkdown))
+ (home-page "https://github.com/niaid/dsb")
+ (synopsis
+ "Normalize & denoise droplet single cell protein data (CITE-Seq)")
+ (description
+ "R-dsb improves protein expression analysis in droplet-based single-cell
+studies. The package specifically addresses noise in raw protein UMI counts
+from methods like CITE-seq. It identifies and removes two main sources of
+noise—protein-specific noise from unbound antibodies and droplet/cell-specific
+noise. The package is applicable to various methods, including CITE-seq,
+REAP-seq, ASAP-seq, TEA-seq, and Mission Bioplatform data. Check the vignette
+for tutorials on integrating dsb with Seurat and Bioconductor, and using dsb
+in Python.")
+ (license license:cc0)))
+
(define-public r-dss
(package
(name "r-dss")