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author | Ricardo Wurmus <rekado@elephly.net> | 2017-01-16 12:19:09 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2017-01-17 21:46:50 +0100 |
commit | 7c08afaf7bd86c543d46a1d3157a8a57bfed8af4 (patch) | |
tree | ecc4f1cef117957c07a031f5513e15e48a5cd73f | |
parent | 05c7e5fb76cf8ebc271595cf3e363e3b8678d7e0 (diff) |
gnu: Add r-vsn.
* gnu/packages/bioinformatics.scm (r-vsn): New variable.
-rw-r--r-- | gnu/packages/bioinformatics.scm | 33 |
1 files changed, 33 insertions, 0 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm index 9e073843e2..82a60dae05 100644 --- a/gnu/packages/bioinformatics.scm +++ b/gnu/packages/bioinformatics.scm @@ -8330,3 +8330,36 @@ CDF file formats.") "This package contains functions for exploratory oligonucleotide array analysis.") (license license:lgpl2.0+))) + +(define-public r-vsn + (package + (name "r-vsn") + (version "3.42.3") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "vsn" version)) + (sha256 + (base32 + "0mgl0azys2g90simf8wx6jdwd7gyg3m4pf12n6w6507jixm2cg97")))) + (build-system r-build-system) + (propagated-inputs + `(("r-affy" ,r-affy) + ("r-biobase" ,r-biobase) + ("r-ggplot2" ,r-ggplot2) + ("r-limma" ,r-limma))) + (home-page "http://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))) |