vsn

Variance stabilization and calibration for microarray data

The package implements a method for normalising microarray intensities, both between colours within array, and between arrays. The method uses a robust variant of the maximum-likelihood estimator for the stochastic model of microarray data described in the references (see vignette). The model incorporates data calibration (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

To install this package, start R and enter:

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

Documentation

Verifying and assessing the performance with simulated data PDF R Script
Likelihood Calculations for vsn PDF R Script
Introduction to vsn PDF R Script
Reference Manual

Details

biocViews
Depends
Imports
methods , affy , limma , lattice
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

Package Downloads

Package source vsn_3.12.0.tar.gz
Windows binary vsn_3.12.0.zip
MacOS X 10.4 (Tiger) binary vsn_3.12.0.tgz
MacOS X 10.5 (Leopard) binary vsn_3.12.0.tgz
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