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
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Maintainer |
Wolfgang Huber |
Vignettes (Documentation)
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Package Downloads
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Details
biocViews |
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Depends |
R, Biobase |
Suggests |
affy, affydata, marray, multtest, limma, hgu95av2cdf |
Imports |
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SystemRequirements |
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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 |