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gnu: Add r-plsdabatch.
* gnu/packages/bioinformatics.scm (r-plsdabatch): New variable.
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@ -8669,6 +8669,46 @@ (define-public r-doubletcollection
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benchmark of those eight mentioned methods.")
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(license license:gpl3+))))
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(define-public r-plsdabatch
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(let ((commit "4aadf3a99709afae462db310386b6cf5db20088c")
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(revision "1"))
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(package
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(name "r-plsdabatch")
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(version (git-version "0.2.3" revision commit))
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(source (origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/EvaYiwenWang/PLSDAbatch")
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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
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"047l923lq2ji7rwybh9b9zkblzvvhkpli5gb2x8g2q9f2n5022nr"))))
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(properties `((upstream-name . "PLSDAbatch")))
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(build-system r-build-system)
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(propagated-inputs (list r-ggplot2
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r-ggpubr
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r-gridextra
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r-lmertest
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r-mixomics
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r-mvtnorm
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r-performance
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r-rdpack
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r-scales))
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(native-inputs (list r-knitr))
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(home-page "https://github.com/EvaYiwenWang/PLSDAbatch")
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(synopsis "PLSDA-batch")
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(description
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"This package provides a new batch effect correction method based on
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Projection to Latent Structures Discriminant Analysis named “PLSDA-batch” to
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correct data prior to any downstream analysis. PLSDA-batch estimates latent
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components related to treatment and batch effects to remove batch variation.
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The method is multivariate, non-parametric and performs dimension reduction.
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Combined with centered log ratio transformation for addressing uneven library
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sizes and compositional structure, PLSDA-batch addresses all characteristics
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of microbiome data that existing correction methods have ignored so far.")
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(license license:gpl3))))
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(define-public r-psupertime
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(let ((commit "73825a28d3bd9bc881c15ee0c4c218eec1c9c207")
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(revision "1"))
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