@@ 4695,6 4695,42 @@ their variance is independent of the mean, and they are usually more sensitive
and specific in detecting differential transcription.")
(license license:artistic2.0)))
+(define-public r-xina
+ (package
+ (name "r-xina")
+ (version "1.12.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "XINA" version))
+ (sha256
+ (base32 "14j1rn3p7i0rlqkbbg0a6pyhb97ifzvsbw6vfxw9pna7zv7rbhsp"))))
+ (properties `((upstream-name . "XINA")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-alluvial" ,r-alluvial)
+ ("r-ggplot2" ,r-ggplot2)
+ ("r-gridextra" ,r-gridextra)
+ ("r-igraph" ,r-igraph)
+ ("r-mclust" ,r-mclust)
+ ("r-plyr" ,r-plyr)
+ ("r-stringdb" ,r-stringdb)))
+ (native-inputs `(("r-knitr" ,r-knitr)))
+ (home-page "https://git.bioconductor.org/packages/XINA")
+ (synopsis "Identifying proteins that exhibit similar patterns")
+ (description
+ "The aim of @code{XINA} is to determine which proteins exhibit similar
+patterns within and across experimental conditions, since proteins with
+co-abundance patterns may have common molecular functions. @code{XINA} imports
+multiple datasets, tags dataset in silico, and combines the data for subsequent
+subgrouping into multiple clusters. The result is a single output depicting
+the variation across all conditions. @code{XINA} not only extracts
+coabundance profiles within and across experiments, but also incorporates
+protein-protein interaction databases and integrative resources such as
+@dfn{Kyoto encyclopedia of genes and genomes} (KEGG) to infer interactors and
+molecular functions, respectively, and produces intuitive graphical outputs.")
+ (license license:gpl3)))
+
(define-public r-xvector
(package
(name "r-xvector")