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