vsn
   Variance stabilization and calibration for microarray data
   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://bioconductor.org/biocLite.R")
    biocLite("vsn")
    
   Documentation
   
   Details
   
    
     | 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 |  | 
    
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     | Development History | Bioconductor Changelog | 
   
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