@@ -14800,6 +14800,63 @@ (define-public r-liana
interaction inference from scRNA-seq data.")
(license license:gpl3))))
+(define-public r-nichenetr
+ (let ((commit "cc3bcedfd6271df2e8ca85c8b771f7faa914cd3d")
+ (revision "1"))
+ (package
+ (name "r-nichenetr")
+ (version (git-version "1.1.1" revision commit))
+ (source (origin
+ (method git-fetch)
+ (uri (git-reference
+ (url "https://github.com/saeyslab/nichenetr")
+ (commit commit)))
+ (file-name (git-file-name name version))
+ (sha256
+ (base32
+ "0jxkrk7cpwx0lbbgjrd885jxahdgk9ysfqp2drq22g486k6p2s9y"))))
+ (properties `((upstream-name . "nichenetr")))
+ (build-system r-build-system)
+ (propagated-inputs (list r-caret
+ r-catools
+ r-circlize
+ r-complexheatmap
+ r-cowplot
+ r-data-table
+ r-diagrammer
+ r-dicekriging
+ r-dplyr
+ r-e1071
+ r-emoa
+ r-fdrtool
+ r-ggplot2
+ r-ggpubr
+ r-hmisc
+ r-igraph
+ r-limma
+ r-magrittr
+ r-matrix
+ r-mlrmbo
+ r-parallelmap
+ r-purrr
+ r-randomforest
+ r-readr
+ r-rocr
+ r-seurat
+ r-tibble
+ r-tidyr))
+ (native-inputs (list r-knitr))
+ (home-page "https://github.com/saeyslab/nichenetr")
+ (synopsis "The R implementation of the NicheNet method")
+ (description
+ "The goal of NicheNet is to study intercellular communication from a computational perspective.
+NicheNet uses human or mouse gene expression data of interacting cells
+as input and combines this with a prior model that integrates existing
+knowledge on ligand-to-target signaling paths. This allows to predict
+ligand-receptor interactions that might drive gene expression changes
+in cells of interest.")
+ (license license:gpl3))))
+
(define-public r-circus
(package
(name "r-circus")