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 , with contributions from A.
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
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Package Downloads
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Details
| biocViews |
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| Depends |
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| Imports |
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| Suggests |
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| System Requirements |
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| 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
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| Depends On Me |
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| Imports Me |
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| Suggests Me |
Agi4x44PreProcess
,
BiocCaseStudies
,
GlobalAncova
,
adSplit
,
beadarray
,
cellHTS
,
ecolitk
,
globaltest
,
limma
,
lumi
,
twilight
|
| Development History |
Bioconductor Changelog
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