Package: vsn
Version: 1.6.3
Date: 10 Mai 2005
Title: Variance stabilization and calibration for microarray data
Author: Wolfgang Huber <huber@ebi.ac.uk>, contributions from A. von Heydebreck <heydebre@molgen.mpg.de>, Markus Ruschhaupt <m.ruschhaupt@dkfz-heidelberg.de>, D. Kostka <dennis.kostka@molgen.mpg.de>
Maintainer: Wolfgang Huber <huber@ebi.ac.uk>
Depends: R (>= 2.0.0), Biobase (>= 1.4.14)
Suggests: affy, affydata, marray, multtest, limma, hgu95av2cdf
Description: 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. 
Reference: [1] Variance stabilization applied to microarray data calibration and to the quantification of differential expression, Wolfgang Huber, Anja von Heydebreck, Holger S&uuml;ultmann, Annemarie Poustka, Martin Vingron; Bioinformatics (2002) 18 Suppl1 S96-S104. [2] Parameter estimation for the calibration and variance stabilization of microarray data, Wolfgang Huber, Anja von Heydebreck, Holger S&uuml;ltmann, Annemarie Poustka, and Martin Vingron; Statistical Applications in Genetics and Molecular Biology (2003) Vol. 2 No. 1, Article 3; http://www.bepress.com/sagmb/vol2/iss1/art3.
License: LGPL
URL: http://www.r-project.org, http://www.ebi.ac.uk/huber
Packaged: Wed May 18 19:13:31 2005; biocbuild
