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@ -2235,6 +2235,47 @@ of Medical Research. The goal is to provide a standard library for quantitative
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analysis, modelling, and visualization of spike-in controls.")
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analysis, modelling, and visualization of spike-in controls.")
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(license license:bsd-3)))
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(license license:bsd-3)))
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(define-public r-aldex2
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(package
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(name "r-aldex2")
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(version "1.28.1")
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(source (origin
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(method url-fetch)
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(uri (bioconductor-uri "ALDEx2" version))
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(sha256
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(base32
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"0xppx52sllbz4pli174422i4kkf37v0yl844088nbj3j9r6pfbj9"))))
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(properties `((upstream-name . "ALDEx2")))
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(build-system r-build-system)
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(propagated-inputs
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(list r-biocparallel
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r-genomicranges
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r-iranges
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r-multtest
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r-rfast
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r-s4vectors
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r-summarizedexperiment
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r-zcompositions))
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(native-inputs (list r-knitr))
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(home-page "https://github.com/ggloor/ALDEx_bioc")
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(synopsis "Analysis of differential abundance taking sample variation into account")
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(description
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"This package provides a differential abundance analysis for the
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comparison of two or more conditions. Useful for analyzing data from standard
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RNA-seq or meta-RNA-seq assays as well as selected and unselected values from
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in-vitro sequence selections. Uses a Dirichlet-multinomial model to infer
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abundance from counts, optimized for three or more experimental replicates.
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The method infers biological and sampling variation to calculate the expected
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false discovery rate, given the variation, based on a Wilcoxon Rank Sum test
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and Welch's t-test, a Kruskal-Wallis test, a generalized linear model, or a
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correlation test. All tests report p-values and Benjamini-Hochberg corrected
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p-values. ALDEx2 also calculates expected standardized effect sizes for
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paired or unpaired study designs.")
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;; The code for the function "rdirichlet" is from the R package
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;; "mc2d_0.1-14.tar.gz", which is denoted as GPL>=2, and where the
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;; package's LICENSE is specified as GPL-3.
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(license (list license:agpl3+ license:gpl2+ license:gpl3))))
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(define-public r-aneufinder
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(define-public r-aneufinder
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(package
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(package
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(name "r-aneufinder")
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(name "r-aneufinder")
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