@@ -1987,6 +1987,58 @@ (define-public r-agimicrorna
objects are used so that other packages could be used as well.")
(license license:gpl3)))
+(define-public r-amaretto
+ (package
+ (name "r-amaretto")
+ (version "1.12.0")
+ (source (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "AMARETTO" version))
+ (sha256
+ (base32
+ "111dk19b9910icksyr592cvhc5gwvgknr5q4887j9yxbajd7hcmx"))))
+ (properties `((upstream-name . "AMARETTO")))
+ (build-system r-build-system)
+ (propagated-inputs
+ (list r-biocfilecache
+ r-callr
+ r-circlize
+ r-complexheatmap
+ r-curatedtcgadata
+ r-doparallel
+ r-dplyr
+ r-dt
+ r-foreach
+ r-ggplot2
+ r-glmnet
+ r-gridextra
+ r-httr
+ r-impute
+ r-knitr
+ r-limma
+ r-matrix
+ r-matrixstats
+ r-multiassayexperiment
+ r-rcpp
+ r-readr
+ r-reshape2
+ r-rmarkdown
+ r-tibble))
+ (native-inputs (list r-knitr))
+ (home-page "https://bioconductor.org/packages/AMARETTO")
+ (synopsis "Regulatory network inference and driver gene evaluation")
+ (description
+ "This package @code{AMARETTO} represents an algorithm that integrates copy
+number, DNA methylation and gene expression data to identify a set of driver
+genes by analyzing cancer samples and connects them to clusters of co-expressed
+genes, which we define as modules. @code{AMARETTO} can be applied in a pancancer
+setting to identify cancer driver genes and their modules on multiple cancer
+sites. @code{AMARETTO} captures modules enriched in angiogenesis, cell cycle
+and EMT, and modules that accurately predict survival and molecular subtypes.
+This allows @code{AMARETTO} to identify novel cancer driver genes directing
+canonical cancer pathways.")
+ (license license:asl2.0)))
+
(define-public r-aneufinder
(package
(name "r-aneufinder")