diff options
author | Ricardo Wurmus <rekado@elephly.net> | 2023-03-06 14:54:12 +0100 |
---|---|---|
committer | Ricardo Wurmus <rekado@elephly.net> | 2023-03-06 14:55:06 +0100 |
commit | fe9bcf9db24e6f7849ad870e0853c251517fd6f0 (patch) | |
tree | 65e0b46798041f4f449616872f72b8fc332d51d6 /gnu/packages/bioinformatics.scm | |
parent | 760be95385765a9c19c710c2320b3ef584ef63c2 (diff) | |
download | guix-fe9bcf9db24e6f7849ad870e0853c251517fd6f0.tar.gz guix-fe9bcf9db24e6f7849ad870e0853c251517fd6f0.zip |
gnu: Add r-plsdabatch.
* gnu/packages/bioinformatics.scm (r-plsdabatch): New variable.
Diffstat (limited to 'gnu/packages/bioinformatics.scm')
-rw-r--r-- | gnu/packages/bioinformatics.scm | 40 |
1 files changed, 40 insertions, 0 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm index 0c1d6d38c7..0b1f36b347 100644 --- a/gnu/packages/bioinformatics.scm +++ b/gnu/packages/bioinformatics.scm @@ -8669,6 +8669,46 @@ doublet-detection methods. In addition, this tool is used for execution and benchmark of those eight mentioned methods.") (license license:gpl3+)))) +(define-public r-plsdabatch + (let ((commit "4aadf3a99709afae462db310386b6cf5db20088c") + (revision "1")) + (package + (name "r-plsdabatch") + (version (git-version "0.2.3" revision commit)) + (source (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/EvaYiwenWang/PLSDAbatch") + (commit commit))) + (file-name (git-file-name name version)) + (sha256 + (base32 + "047l923lq2ji7rwybh9b9zkblzvvhkpli5gb2x8g2q9f2n5022nr")))) + (properties `((upstream-name . "PLSDAbatch"))) + (build-system r-build-system) + (propagated-inputs (list r-ggplot2 + r-ggpubr + r-gridextra + r-lmertest + r-mixomics + r-mvtnorm + r-performance + r-rdpack + r-scales)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/EvaYiwenWang/PLSDAbatch") + (synopsis "PLSDA-batch") + (description + "This package provides a new batch effect correction method based on +Projection to Latent Structures Discriminant Analysis named “PLSDA-batch” to +correct data prior to any downstream analysis. PLSDA-batch estimates latent +components related to treatment and batch effects to remove batch variation. +The method is multivariate, non-parametric and performs dimension reduction. +Combined with centered log ratio transformation for addressing uneven library +sizes and compositional structure, PLSDA-batch addresses all characteristics +of microbiome data that existing correction methods have ignored so far.") + (license license:gpl3)))) + (define-public r-psupertime (let ((commit "73825a28d3bd9bc881c15ee0c4c218eec1c9c207") (revision "1")) |