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gnu: Add r-ancombc.
* gnu/packages/bioconductor.scm (r-ancombc): New variable.
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@ -2284,6 +2284,52 @@ (define-public r-anaquin
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analysis, modelling, and visualization of spike-in controls.")
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(license license:bsd-3)))
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(define-public r-ancombc
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(package
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(name "r-ancombc")
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(version "1.6.1")
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(source (origin
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(method url-fetch)
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(uri (bioconductor-uri "ANCOMBC" version))
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(sha256
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(base32
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"1p9yryv85qk7m3hbflmpdffd3azpsifcw54x1rp8sb67yjmq3whq"))))
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(properties `((upstream-name . "ANCOMBC")))
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(build-system r-build-system)
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(propagated-inputs
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(list r-desctools
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r-doparallel
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r-dorng
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r-dplyr
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r-energy
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r-foreach
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r-hmisc
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r-magrittr
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r-mass
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r-microbiome
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r-nlme
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r-nloptr
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r-phyloseq
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r-rdpack
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r-rlang
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r-tibble
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r-tidyr))
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(native-inputs (list r-knitr))
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(home-page "https://github.com/FrederickHuangLin/ANCOMBC")
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(synopsis "Analysis of compositions of microbiomes with bias correction")
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(description
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"@code{ANCOMBC} is a package containing @dfn{differential abundance} (DA)
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and correlation analyses for microbiome data. Specifically, the package
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includes @dfn{Analysis of Compositions of Microbiomes with Bias
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Correction}(ANCOM-BC) and @dfn{Analysis of Composition of Microbiomes} (ANCOM)
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for DA analysis, and @dfn{Sparse Estimation of Correlations among
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Microbiomes} (SECOM) for correlation analysis. Microbiome data are typically
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subject to two sources of biases: unequal sampling fractions (sample-specific
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biases) and differential sequencing efficiencies (taxon-specific biases).
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Methodologies included in the @code{ANCOMBC} package were designed to correct
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these biases and construct statistically consistent estimators.")
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(license license:artistic2.0)))
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(define-public r-aldex2
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(package
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(name "r-aldex2")
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