gnu: Add r-hybridmtest.
* gnu/packages/bioconductor.scm (r-hybridmtest): New variable.
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@ -18535,6 +18535,37 @@ the read count and GC content bias.")
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validating output, provides an S4 SBML DOM, converts SBML to R graph objects.")
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validating output, provides an S4 SBML DOM, converts SBML to R graph objects.")
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(license license:artistic2.0)))
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(license license:artistic2.0)))
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(define-public r-hybridmtest
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(package
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(name "r-hybridmtest")
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(version "1.44.0")
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(source
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(origin
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(method url-fetch)
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(uri (bioconductor-uri "HybridMTest" version))
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(sha256
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(base32 "19pycad35hc7ylnsz75bv029y1r6j9xvrbhzk4i64i7jn8gi7ngh"))))
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(properties `((upstream-name . "HybridMTest")))
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(build-system r-build-system)
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(propagated-inputs
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(list r-biobase
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r-fdrtool
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r-mass
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r-survival))
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(home-page "https://bioconductor.org/packages/HybridMTest")
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(synopsis "Hybrid multiple testing")
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(description
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"This package performs hybrid multiple testing that incorporates method
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selection and assumption evaluations into the analysis using @acronym{EBP,
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empirical Bayes probability} estimates obtained by Grenander density
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estimation. For instance, for 3-group comparison analysis, Hybrid Multiple
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testing considers EBPs as weighted EBPs between F-test and H-test with EBPs
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from Shapiro Wilk test of normality as weigth. Instead of just using EBPs
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from F-test only or using H-test only, this methodology combines both types of
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EBPs through EBPs from Shapiro Wilk test of normality. This methodology uses
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then the law of total EBPs.")
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(license license:gpl2+)))
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(define-public r-hypergraph
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(define-public r-hypergraph
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(package
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(package
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(name "r-hypergraph")
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(name "r-hypergraph")
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