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