{}R Documentation



Methods for analyzing DNA copy-number data. Specifically, this package implements the multi-source copy-number normalization (MSCN) method for normalizing copy-number data obtained on various platforms and technologies. It also implements the TumorBoost method for normalizing paired tumor-normal SNP data.

This package should be considered to be in an alpha or beta phase. You should expect the API to be changing over time.

Installation and updates

To install this package, call install.packages("").

To get started

To get started, see:

  1. ...


The releases of this package is licensed under LGPL version 2.1 or newer.

The development code of the packages is under a private licence (where applicable) and patches sent to the author fall under the latter license, but will be, if incorporated, released under the "release" license above.


Henrik Bengtsson, Pierre Neuvial


Please cite one or more of approprite reference below

H. Bengtsson, P. Neuvial and T.P. Speed. TumorBoost: Normalization of allele-specific tumor copy numbers from a single pair of tumor-normal genotyping microarrays, BMC Bioinformatics, 2010

H. Bengtsson, A. Ray, P. Spellman and T.P. Speed. A single-sample method for normalizing and combining full-resolutioncopy numbers from multiple platforms, labs and analysis methods, Bioinformatics, 2009

H. Bengtsson; K. Simpson; J. Bullard; K. Hansen. aroma.affymetrix: A generic framework in R for analyzing small to very large Affymetrix data sets in bounded memory, Tech Report 745, Department of Statistics, University of California, Berkeley, February 2008

H. Bengtsson, R. Irizarry, B. Carvalho, & T.P. Speed. Estimation and assessment of raw copy numbers at the single locus level, Bioinformatics, 2008

To see these entries in BibTeX format, use 'print(<citation>, bibtex=TRUE)', 'toBibtex(.)', or set 'options(citation.bibtex.max=999)'.

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