Package: vsn
Version: 3.79.5
Title: Variance stabilization and calibration for microarray data
Authors@R: c(
    person("Wolfgang", "Huber", email="wolfgang.huber@embl.org", role = c("aut","cre")),
    person("Anja", "von Heydebreck", role = c("aut")),
    person("Dennis", "Kostka", role = c("ctb")),
    person("David", "Kreil", role = c("ctb")),
    person("Hans-Ulrich", "Klein", role = c("ctb")),
    person("Robert", "Gentleman", role = c("ctb")),
    person("Deepayan", "Sarkar", role = c("ctb")),
    person("Gordon", "Smyth", role = c("ctb")),
    person("Federal Ministry of Research, Technology and Space of Germany, DHGP", role="fnd"))
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, hexbin
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: https://github.com/Huber-group-EMBL/vsn
BugReports: https://github.com/Huber-group-EMBL/vsn/issues
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
Config/pak/sysreqs: zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-01-13 20:52:43 UTC
RemoteUrl: https://github.com/bioc/vsn
RemoteRef: HEAD
RemoteSha: 8dd5234f7879f0b9d115d0c2504960f5d2fe8bde
NeedsCompilation: yes
Packaged: 2026-01-14 03:57:06 UTC; root
Author: Wolfgang Huber [aut, cre],
  Anja von Heydebreck [aut],
  Dennis Kostka [ctb],
  David Kreil [ctb],
  Hans-Ulrich Klein [ctb],
  Robert Gentleman [ctb],
  Deepayan Sarkar [ctb],
  Gordon Smyth [ctb],
  Federal Ministry of Research, Technology and Space of Germany, DHGP
    [fnd]
Built: R 4.6.0; x86_64-w64-mingw32; 2026-01-14 03:59:03 UTC; windows
Archs: x64
