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.
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("vsn")
| Verifying and assessing the performance with simulated data | R Script | |
|---|---|---|
| Likelihood Calculations for vsn | R Script | |
| Introduction to vsn | R Script | |
| Reference Manual |
| 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 source | vsn_3.12.0.tar.gz |
|---|---|
| Windows binary | vsn_3.12.0.zip |
| MacOS X 10.4 (Tiger) binary | vsn_3.12.0.tgz |
| MacOS X 10.5 (Leopard) binary | vsn_3.12.0.tgz |
| Package Downloads Report | Downloads Stats |