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gnu: Add r-iclusterplus.

* gnu/packages/bioconductor.scm (r-iclusterplus): New variable.
This commit is contained in:
Ricardo Wurmus 2019-05-10 12:44:09 +02:00
parent b40a36baff
commit 8c42f8f6e8
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@ -4339,3 +4339,33 @@ can add, update, and retrieve. It is useful for managing resources (such as
custom Txdb objects) that are costly or difficult to create, web resources,
and data files used across sessions.")
(license license:artistic2.0)))
(define-public r-iclusterplus
(package
(name "r-iclusterplus")
(version "1.20.0")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "iClusterPlus" version))
(sha256
(base32
"14x43jjhbp4zwb4dv9rwrm5l5p7h76bc1zkdbiikqip9bzph0viq"))))
(properties `((upstream-name . "iClusterPlus")))
(build-system r-build-system)
(native-inputs `(("gfortran" ,gfortran)))
(home-page "https://bioconductor.org/packages/iClusterPlus/")
(synopsis "Integrative clustering of multi-type genomic data")
(description
"iClusterPlus is developed for integrative clustering analysis of
multi-type genomic data and is an enhanced version of iCluster proposed and
developed by Shen, Olshen and Ladanyi (2009). Multi-type genomic data arise
from the experiments where biological samples (e.g. tumor samples) are
analyzed by multiple techniques, for instance, @dfn{array comparative genomic
hybridization} (aCGH), gene expression microarray, RNA-seq and DNA-seq, and so
on. In the iClusterPlus model, binary observations such as somatic mutation
are modeled as Binomial processes; categorical observations such as copy
number states are realizations of Multinomial random variables; counts are
modeled as Poisson random processes; and continuous measures are modeled by
Gaussian distributions.")
(license license:gpl2+)))