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 , contributions from A. von Heydebreck , Markus Ruschhaupt , D. Kostka
Maintainer Wolfgang Huber

Vignettes (Documentation)

Package Downloads

convergence.pdf
vsn.pdf
Source vsn_1.12.0.tar.gz
Windows binary vsn_1.12.0.zip
OS X binary vsn_1.12.0.tgz

Details

biocViews
Depends R, Biobase
Suggests affy, affydata, marray, multtest, limma, hgu95av2cdf
Imports
SystemRequirements
License Artistic License 2.0
URL http://www.r-project.org, http://www.ebi.ac.uk/huber
dependsOnMe arrayMagic, tilingArray, webbioc
suggestsMe adSplit, ecolitk, GlobalAncova, globaltest, limma, stam, twilight