Bioconductor version: Release (2.7)
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:///biocLite.R") biocLite("vsn")
R Script | Introduction to vsn | |
R Script | Likelihood Calculations for vsn | |
R Script | Verifying and assessing the performance with simulated data |
biocViews | Microarray, OneChannel, TwoChannel, Preprocessing |
Depends | Biobase |
Imports | methods, affy, limma, lattice |
Suggests | affydata, hgu95av2cdf |
System Requirements | |
License | Artistic-2.0 |
URL | http://www.r-project.org, http://www.ebi.ac.uk/huber |
Depends On Me | LVSmiRNA, affyPara, arrayQualityMetrics, cellHTS2, webbioc |
Imports Me | Ringo, imageHTS, tilingArray |
Suggests Me | Agi4x44PreProcess, BiocCaseStudies, GlobalAncova, adSplit, beadarray, cellHTS, globaltest, limma, lumi, twilight |
Version | 3.18.0 |
Package Source | vsn_3.18.0.tar.gz |
Windows Binary | vsn_3.18.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | vsn_3.18.0.tgz |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!