CGHnormaliter

Normalization of array CGH data with imbalanced aberrations.

Bioconductor version: 2.10

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 few.vu.nl>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("CGHnormaliter")

To cite this package in a publication, start R and enter:

    citation("CGHnormaliter")

Documentation

PDF R Script CGHnormaliter
PDF R Script CGHnormaliter-method.pdf
PDF   Reference Manual

Details

biocViews Microarray, Preprocessing, Software
Depends CGHcall(>= 2.2.0), CGHbase(>= 1.2.0)
Imports Biobase, CGHbase, CGHcall, methods, stats, utils
Suggests
System Requirements
License GPL (>= 3)
URL
Depends On Me
Imports Me
Suggests Me
Version 1.10.0
Since Bioconductor 2.5 (R-2.10)

Package Downloads

Package Source CGHnormaliter_1.10.0.tar.gz
Windows Binary CGHnormaliter_1.10.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary CGHnormaliter_1.10.0.tgz
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Fred Hutchinson Cancer Research Center