Package: vsn
Version: 3.79.1
Title: Variance stabilization and calibration for microarray data
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 <wolfgang.huber@embl.org>
Depends: R (>= 4.0.0), methods, Biobase
Imports: affy, limma, lattice, ggplot2
Suggests: affydata, hgu95av2cdf, BiocStyle, knitr, rmarkdown, dplyr, testthat
Description: The package implements a method for normalising microarray intensities from single- and 
        multiple-color arrays. It can also be used
	for data from other technologies, as long as they have similar format. The method uses a
	robust variant of the maximum-likelihood estimator for an additive-multiplicative error
	model and affine calibration. The model incorporates data calibration step (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.
Reference: [1] Variance stabilization applied to microarray data
        calibration and to the quantification of differential
        expression, Wolfgang Huber, Anja von Heydebreck, Holger
        Sueltmann, Annemarie Poustka, Martin Vingron;
        Bioinformatics (2002) 18 Suppl1 S96-S104. [2] Parameter
        estimation for the calibration and variance stabilization of
        microarray data, Wolfgang Huber, Anja von Heydebreck, Holger
        Sueltmann, Annemarie Poustka, and Martin Vingron;
        Statistical Applications in Genetics and Molecular Biology
        (2003) Vol. 2 No. 1, Article 3;
        http://www.bepress.com/sagmb/vol2/iss1/art3.
License: Artistic-2.0
URL: http://www.r-project.org, http://www.ebi.ac.uk/huber
biocViews: Microarray, OneChannel, TwoChannel, Preprocessing
VignetteBuilder: knitr
Collate: AllClasses.R  AllGenerics.R
	vsn2.R vsnLogLik.R justvsn.R
	methods-vsnInput.R methods-vsn.R methods-vsn2.R methods-predict.R
	RGList_to_NChannelSet.R meanSdPlot-methods.R plotLikelihood.R
	normalize.AffyBatch.vsn.R sagmbSimulateData.R  zzz.R
RoxygenNote: 7.3.3
git_url: https://git.bioconductor.org/packages/vsn
git_branch: devel
git_last_commit: 98166c5
git_last_commit_date: 2025-11-27
Repository: Bioconductor 3.23
