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## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("vsn")
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This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see vsn.
Bioconductor version: 3.4
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.
Author: Wolfgang Huber, with contributions from Anja von Heydebreck. Many comments and suggestions by users are acknowledged, among them Dennis Kostka, David Kreil, Hans-Ulrich Klein, Robert Gentleman, Deepayan Sarkar and Gordon Smyth
Maintainer: Wolfgang Huber <whuber at embl.de>
Citation (from within R,
enter citation("vsn")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("vsn")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("vsn")
Follow Installation instructions to use this package in your R session.
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