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 |
|
| Depends |
|
| Imports |
|
| Suggests |
|
| System Requirements |
|
| 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
|
| Depends On Me |
|
| Imports Me |
|
| Suggests Me |
adSplit
,
Agi4x44PreProcess
,
beadarray
,
BiocCaseStudies
,
cellHTS
,
ecolitk
,
GlobalAncova
,
globaltest
,
limma
,
lumi
,
twilight
|
| Development History |
Bioconductor Changelog
|
Package Downloads