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Normalization of array CGH data with imbalanced aberrations.

Bioconductor version: Release (3.19)

Normalization and centralization of array comparative genomic hybridization (aCGH) data. The algorithm uses an iterative procedure that effectively eliminates the influence of imbalanced copy numbers. This leads to a more reliable assessment of copy number alterations (CNAs).

Author: Bart P.P. van Houte, Thomas W. Binsl, Hannes Hettling

Maintainer: Bart P.P. van Houte <bvhoute at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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

CGHnormaliter PDF R Script
Reference Manual PDF


biocViews Microarray, Preprocessing, Software
Version 1.58.0
In Bioconductor since BioC 2.5 (R-2.10) (14.5 years)
License GPL (>= 3)
Depends CGHcall(>= 2.17.0), CGHbase(>= 1.15.0)
Imports Biobase, CGHbase, CGHcall, methods, stats, utils
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