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gnu: Add r-metadeconfoundr.
* gnu/packages/bioinformatics.scm (r-metadeconfoundr): New variable. Change-Id: I733fb464d2a3c7fd1335826be9f23e2610e6fd60
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@ -11890,6 +11890,47 @@ (define-public r-metacell
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variation, gene modules and their regulatory models and more.")
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variation, gene modules and their regulatory models and more.")
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(license license:expat))))
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(license license:expat))))
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(define-public r-metadeconfoundr
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;; There are some relevant updates after the release of version 0.3.0.
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(let ((commit "90aec0226c5128bfcbbc08903452eff460d21424")
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(revision "1"))
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(package
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(name "r-metadeconfoundr")
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(version (git-version "0.3.0" revision commit))
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/TillBirkner/metadeconfoundR")
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(commit commit)))
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(file-name (git-file-name name version))
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(sha256
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(base32 "0zkqar27p5qwq46xbxsw5x1pl50xbkgqiizw5bydlyhwb0ga2f3h"))))
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(properties `((upstream-name . "metadeconfoundR")))
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(build-system r-build-system)
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(propagated-inputs (list r-bigmemory
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r-detectseparation
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r-doparallel
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r-dosnow
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r-foreach
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r-futile-logger
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r-ggplot2
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r-lme4
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r-lmtest
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r-reshape2
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r-snow))
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(native-inputs (list r-knitr))
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(home-page "https://github.com/TillBirkner/metadeconfoundR")
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(synopsis "Check multiple covariates for potenial confounding effects")
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(description
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"This package detects naive associations between omics features and
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metadata in cross-sectional data-sets using non-parametric tests. In a second
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step, confounding effects between metadata associated to the same omics
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feature are detected and labeled using nested post-hoc model comparison tests.
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The generated output can be graphically summarized using the built-in plotting
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function.")
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(license license:gpl2))))
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(define-public r-sleuth
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(define-public r-sleuth
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(package
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(package
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(name "r-sleuth")
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(name "r-sleuth")
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