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gnu: Add r-debcam.

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* gnu/packages/bioconductor.scm (r-debcam): New variable.
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Mădălin Ionel Patrașcu 2022-10-28 07:02:35 +02:00 committed by Ricardo Wurmus
parent 0d713c865b
commit 917b96cef7
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1 changed files with 40 additions and 0 deletions
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gnu/packages/bioconductor.scm
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@ -48,6 +48,7 @@ (define-module (gnu packages bioconductor)
#:use-module (gnu packages graphviz) #:use-module (gnu packages graphviz)
#:use-module (gnu packages haskell-xyz) #:use-module (gnu packages haskell-xyz)
#:use-module (gnu packages image) #:use-module (gnu packages image)
#:use-module (gnu packages java)
#:use-module (gnu packages maths) #:use-module (gnu packages maths)
#:use-module (gnu packages netpbm) #:use-module (gnu packages netpbm)
#:use-module (gnu packages python) #:use-module (gnu packages python)
@ -3051,6 +3052,45 @@ (define-public r-dearseq
set analyses, and can deal with repeated or longitudinal data.") set analyses, and can deal with repeated or longitudinal data.")
(license license:gpl2))) (license license:gpl2)))
(define-public r-debcam
(package
(name "r-debcam")
(version "1.14.0")
(source (origin
(method url-fetch)
(uri (bioconductor-uri "debCAM" version))
(sha256
(base32
"1ynz57kkxl8nx80zhh1vhhydqb5n6r9d7p69f0k9nj8rp4hdgng7"))))
(properties `((upstream-name . "debCAM")))
(build-system r-build-system)
(inputs (list openjdk))
(propagated-inputs
(list r-apcluster
r-biobase
r-biocparallel
r-corpcor
r-dmwr2
r-geometry
r-nmf
r-nnls
r-pcapp
r-rjava
r-summarizedexperiment))
(native-inputs (list r-knitr))
(home-page "https://bioconductor.org/packages/debCAM")
(synopsis "Deconvolution by convex analysis of mixtures")
(description
"This package is an R implementation for fully unsupervised deconvolution
of complex tissues. DebCAM provides basic functions to perform unsupervised
deconvolution on mixture expression profiles by @acronym{CAM, Convex Analysis
of Mixtures} and some auxiliary functions to help understand the
subpopulation- specific results. It also implements functions to perform
supervised deconvolution based on prior knowledge of molecular markers, S
matrix or A matrix. Combining molecular markers from CAM and from prior
knowledge can achieve semi-supervised deconvolution of mixtures.")
(license license:gpl2)))
(define-public r-decipher (define-public r-decipher
(package (package
(name "r-decipher") (name "r-decipher")