vsn

DOI: 10.18129/B9.bioc.vsn    

Variance stabilization and calibration for microarray data

Bioconductor version: Release (3.15)

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.

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 at embl.org>

Citation (from within R, enter citation("vsn")):

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("vsn")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("vsn")

 

HTML R Script Introduction to vsn (HTML version)
PDF R Script Likelihood Calculations for vsn
PDF Verifying and assessing the performance with simulated data
PDF   Reference Manual
Text   NEWS

Details

biocViews Microarray, OneChannel, Preprocessing, Software, TwoChannel
Version 3.64.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 17.5 years)
License Artistic-2.0
Depends R (>= 4.0.0), methods, Biobase
Imports affy, limma, lattice, ggplot2
LinkingTo
Suggests affydata, hgu95av2cdf, BiocStyle, knitr, rmarkdown, dplyr, testthat
SystemRequirements
Enhances
URL http://www.r-project.org http://www.ebi.ac.uk/huber
Depends On Me cellHTS2, protGear, rnaseqGene, webbioc
Imports Me arrayQualityMetrics, bnem, coexnet, DEP, Doscheda, ExpressionNormalizationWorkflow, imageHTS, MatrixQCvis, metaseqR2, MSnbase, NormalyzerDE, pvca, Ringo, tilingArray
Suggests Me adSplit, beadarray, DAPAR, DESeq2, estrogen, flowVS, ggbio, GlobalAncova, globaltest, limma, lumi, MsCoreUtils, PAA, QFeatures, qmtools, scp, twilight
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package vsn_3.64.0.tar.gz
Windows Binary vsn_3.64.0.zip
macOS Binary (x86_64) vsn_3.64.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/vsn
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/vsn
Package Short Url https://bioconductor.org/packages/vsn/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: