diff options
| author | zimoun <zimon.toutoune@gmail.com> | 2021-05-21 22:26:02 +0200 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2021-05-31 15:37:59 +0200 |
| commit | 8d4311bb8e0e7ae68f0182bf232f598ebe2835e5 (patch) | |
| tree | e5d962fc69035572f60798ab903b0c2d05bfe67a /gnu/packages/bioinformatics.scm | |
| parent | 96ae9822c4c641587ea151e6a58eddbdb6e66590 (diff) | |
gnu: r-vsn: Move to (gnu packages bioconductor).
* gnu/packages/bioinformatics.scm (r-vsn): Move from here...
* gnu/packages/bioconductor.scm (r-vsn): ...to here.
Diffstat (limited to 'gnu/packages/bioinformatics.scm')
| -rw-r--r-- | gnu/packages/bioinformatics.scm | 36 |
1 files changed, 0 insertions, 36 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm index 0dd362c8ee..d133764963 100644 --- a/gnu/packages/bioinformatics.scm +++ b/gnu/packages/bioinformatics.scm @@ -9108,42 +9108,6 @@ proteowizard library for mzML and mzIdentML. The netCDF reading code has previously been used in XCMS.") (license license:artistic2.0))) -(define-public r-vsn - (package - (name "r-vsn") - (version "3.58.0") - (source - (origin - (method url-fetch) - (uri (bioconductor-uri "vsn" version)) - (sha256 - (base32 - "0dfrfflidpnphwyqzmmfiz9blfqv6qa09xlwgfabhpfsf3ml2rlb")))) - (build-system r-build-system) - (propagated-inputs - `(("r-affy" ,r-affy) - ("r-biobase" ,r-biobase) - ("r-ggplot2" ,r-ggplot2) - ("r-lattice" ,r-lattice) - ("r-limma" ,r-limma))) - (native-inputs - `(("r-knitr" ,r-knitr))) ; for vignettes - (home-page "https://bioconductor.org/packages/release/bioc/html/vsn.html") - (synopsis "Variance stabilization and calibration for microarray data") - (description - "The package implements a method for normalising microarray intensities, -and works for single- and multiple-color arrays. It can also be used for data -from other technologies, as long as they have similar format. The method uses -a robust variant of the maximum-likelihood estimator for an -additive-multiplicative error model and affine calibration. The model -incorporates data calibration step (a.k.a. normalization), a model for the -dependence of the variance on the mean intensity and a variance stabilizing -data transformation. Differences between transformed intensities are -analogous to \"normalized log-ratios\". However, in contrast to the latter, -their variance is independent of the mean, and they are usually more sensitive -and specific in detecting differential transcription.") - (license license:artistic2.0))) - (define-public r-ensembldb (package (name "r-ensembldb") |