vsn
Variance stabilization and calibration for microarray data
The package implements a method for normalising microarray
intensities, both between colours within array, and between
arrays. The method uses a robust variant of the
maximum-likelihood estimator for the stochastic model of
microarray data described in the references (see vignette). The
model incorporates data calibration (a.k.a. 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 Anja 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
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 |
adSplit
,
Agi4x44PreProcess
,
beadarray
,
BiocCaseStudies
,
cellHTS
,
ecolitk
,
GlobalAncova
,
globaltest
,
limma
,
lumi
,
twilight
|
Development History |
Bioconductor Changelog
|
Package Downloads