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gnu: Add r-msmstests.
* gnu/packages/bioconductor.scm (r-msmstests): New variable.
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@ -9016,3 +9016,35 @@ (define-public r-msmseda
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"Exploratory data analysis to assess the quality of a set of LC-MS/MS
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"Exploratory data analysis to assess the quality of a set of LC-MS/MS
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experiments, and visualize de influence of the involved factors.")
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experiments, and visualize de influence of the involved factors.")
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(license license:gpl2)))
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(license license:gpl2)))
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(define-public r-msmstests
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(package
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(name "r-msmstests")
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(version "1.28.0")
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(source
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(origin
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(method url-fetch)
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(uri (bioconductor-uri "msmsTests" version))
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(sha256
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(base32
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"1zsnmzj1qvjdwz7mwg9wrsk5iskpqs0f6jccqn8mxy9dgkskmp0j"))))
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(properties `((upstream-name . "msmsTests")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-edger" ,r-edger)
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("r-msmseda" ,r-msmseda)
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("r-msnbase" ,r-msnbase)
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("r-qvalue" ,r-qvalue)))
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(home-page
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"https://bioconductor.org/packages/msmsTests")
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(synopsis "Differential LC-MS/MS expression tests")
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(description
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"This packages provides statistical tests for label-free LC-MS/MS data
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by spectral counts, to discover differentially expressed proteins between two
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biological conditions. Three tests are available: Poisson GLM regression,
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quasi-likelihood GLM regression, and the negative binomial of the edgeR
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package.The three models admit blocking factors to control for nuissance
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variables.To assure a good level of reproducibility a post-test filter is
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available, where we may set the minimum effect size considered biologicaly
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relevant, and the minimum expression of the most abundant condition.")
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(license license:gpl2)))
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