vsn

Variance stabilization and calibration for microarray data

The package implements a robust variant of the maximum-likelihood estimator for the stochastic model of microarray data described in the references. The model incorporates data calibration (aka 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 A. 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

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("vsn")

Documentation

Package Downloads

Verifying and assessing the performance with simulated data
Likelihood Calculations for vsn
Introduction to vsn
Reference Manual
Package source vsn_3.8.0.tar.gz
Windows binary vsn_3.8.0.zip
MacOS X 10.4 (Tiger) binary vsn_3.8.0.tgz
MacOS X 10.5 (Leopard) binary vsn_3.8.0.tgz
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Details

biocViews
Depends
R , methods , lattice , Biobase , affy , limma
Imports
Suggests
System Requirements
License Artistic-2.0, see http://www.opensource.org/licenses/artistic-license-2.0.php
URL http://www.r-project.org, http://www.ebi.ac.uk/huber
Depends On Me
Imports Me
Suggests Me
Development History Bioconductor Changelog