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
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Wolfgang Huber , contributions from A. von
Heydebreck , Markus Ruschhaupt
, D. Kostka
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Maintainer
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Wolfgang Huber
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Vignettes (Documentation)
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Package Downloads
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Details
biocViews
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Depends
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R, Biobase
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Suggests
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affy, affydata, marray, multtest, limma, hgu95av2cdf
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Imports
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SystemRequirements
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License
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LGPL
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URL
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http://www.r-project.org, http://www.ebi.ac.uk/huber
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dependsOnMe
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arrayMagic, tilingArray, webbioc
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suggestsMe
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adSplit, ecolitk, GlobalAncova, globaltest, limma, stam, twilight
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