gnu: r-missmethyl: Move out of experiments section.
* gnu/packages/bioconductor.scm (r-missmethyl): Move from experiments section to packages section.
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@ -1731,56 +1731,6 @@ in Nature Genetics, January 2018.")
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methylation arrays.")
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methylation arrays.")
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(license license:artistic2.0)))
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(license license:artistic2.0)))
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(define-public r-missmethyl
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(package
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(name "r-missmethyl")
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(version "1.34.0")
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(source (origin
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(method url-fetch)
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(uri (bioconductor-uri "missMethyl" version))
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(sha256
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(base32
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"1jvrdr57mv93pcbyazcg1bcx1zd0kp72hi1if839gw54hk3igs3h"))))
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(properties `((upstream-name . "missMethyl")))
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(build-system r-build-system)
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(propagated-inputs
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(list r-annotationdbi
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r-biasedurn
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r-biobase
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r-biocgenerics
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r-genomicranges
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r-go-db
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r-illuminahumanmethylation450kanno-ilmn12-hg19
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r-illuminahumanmethylation450kmanifest
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r-illuminahumanmethylationepicanno-ilm10b4-hg19
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r-illuminahumanmethylationepicmanifest
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r-iranges
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r-limma
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r-methylumi
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r-minfi
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r-org-hs-eg-db
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r-ruv
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r-s4vectors
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r-statmod
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r-stringr
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r-summarizedexperiment))
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(native-inputs (list r-knitr))
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(home-page "https://bioconductor.org/packages/missMethyl")
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(synopsis "Analyzing Illumina HumanMethylation BeadChip data")
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(description
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"This is a package for normalization, testing for differential
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variability and differential methylation and gene set testing for data from
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Illumina's Infinium HumanMethylation arrays. The normalization procedure is
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subset-quantile within-array normalization (SWAN), which allows Infinium I and
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II type probes on a single array to be normalized together. The test for
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differential variability is based on an empirical Bayes version of Levene's
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test. Differential methylation testing is performed using RUV, which can
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adjust for systematic errors of unknown origin in high-dimensional data by
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using negative control probes. Gene ontology analysis is performed by taking
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into account the number of probes per gene on the array, as well as taking
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into account multi-gene associated probes.")
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(license license:gpl2)))
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(define-public r-msdata
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(define-public r-msdata
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(package
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(package
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(name "r-msdata")
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(name "r-msdata")
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@ -12850,6 +12800,56 @@ model.")
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methylation arrays.")
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methylation arrays.")
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(license license:artistic2.0)))
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(license license:artistic2.0)))
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(define-public r-missmethyl
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(package
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(name "r-missmethyl")
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(version "1.34.0")
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(source (origin
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(method url-fetch)
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(uri (bioconductor-uri "missMethyl" version))
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(sha256
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(base32
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"1jvrdr57mv93pcbyazcg1bcx1zd0kp72hi1if839gw54hk3igs3h"))))
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(properties `((upstream-name . "missMethyl")))
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(build-system r-build-system)
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(propagated-inputs
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(list r-annotationdbi
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r-biasedurn
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r-biobase
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r-biocgenerics
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r-genomicranges
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r-go-db
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r-illuminahumanmethylation450kanno-ilmn12-hg19
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r-illuminahumanmethylation450kmanifest
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r-illuminahumanmethylationepicanno-ilm10b4-hg19
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r-illuminahumanmethylationepicmanifest
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r-iranges
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r-limma
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r-methylumi
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r-minfi
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r-org-hs-eg-db
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r-ruv
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r-s4vectors
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r-statmod
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r-stringr
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r-summarizedexperiment))
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(native-inputs (list r-knitr))
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(home-page "https://bioconductor.org/packages/missMethyl")
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(synopsis "Analyzing Illumina HumanMethylation BeadChip data")
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(description
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"This is a package for normalization, testing for differential
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variability and differential methylation and gene set testing for data from
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Illumina's Infinium HumanMethylation arrays. The normalization procedure is
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subset-quantile within-array normalization (SWAN), which allows Infinium I and
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II type probes on a single array to be normalized together. The test for
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differential variability is based on an empirical Bayes version of Levene's
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test. Differential methylation testing is performed using RUV, which can
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adjust for systematic errors of unknown origin in high-dimensional data by
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using negative control probes. Gene ontology analysis is performed by taking
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into account the number of probes per gene on the array, as well as taking
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into account multi-gene associated probes.")
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(license license:gpl2)))
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(define-public r-methylumi
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(define-public r-methylumi
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(package
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(package
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(name "r-methylumi")
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(name "r-methylumi")
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