gnu: Add r-sva.
* gnu/packages/bioinformatics.scm (r-sva): New variable.
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		|  | @ -7995,3 +7995,29 @@ immunoprecipitation and target enrichment on small gene panels.  Thereby, | |||
| CopywriteR constitutes a widely applicable alternative to available copy | ||||
| number detection tools.") | ||||
|     (license license:gpl2))) | ||||
| 
 | ||||
| (define-public r-sva | ||||
|   (package | ||||
|     (name "r-sva") | ||||
|     (version "3.22.0") | ||||
|     (source | ||||
|      (origin | ||||
|        (method url-fetch) | ||||
|        (uri (bioconductor-uri "sva" version)) | ||||
|        (sha256 | ||||
|         (base32 | ||||
|          "1wc1fjm6dzlsqqagm43y57w8jh8nsh0r0m8z1p6ximcb5gxqh7hn")))) | ||||
|     (build-system r-build-system) | ||||
|     (propagated-inputs | ||||
|      `(("r-genefilter" ,r-genefilter))) | ||||
|     (home-page "http://bioconductor.org/packages/sva") | ||||
|     (synopsis "Surrogate variable analysis") | ||||
|     (description | ||||
|      "This package contains functions for removing batch effects and other | ||||
| unwanted variation in high-throughput experiment.  It also contains functions | ||||
| for identifying and building surrogate variables for high-dimensional data | ||||
| sets.  Surrogate variables are covariates constructed directly from | ||||
| high-dimensional data like gene expression/RNA sequencing/methylation/brain | ||||
| imaging data that can be used in subsequent analyses to adjust for unknown, | ||||
| unmodeled, or latent sources of noise.") | ||||
|     (license license:artistic2.0))) | ||||
|  |  | |||
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