To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("CGHnormaliter")

In most cases, you don't need to download the package archive at all.

CGHnormaliter

   

This package is for version 3.0 of Bioconductor; for the stable, up-to-date release version, see CGHnormaliter.

Normalization of array CGH data with imbalanced aberrations.

Bioconductor version: 3.0

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>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("CGHnormaliter")

Documentation

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

browseVignettes("CGHnormaliter")

 

PDF R Script CGHnormaliter
PDF   Reference Manual

Details

biocViews Microarray, Preprocessing, Software
Version 1.20.0
In Bioconductor since BioC 2.5 (R-2.10) (6.5 years)
License GPL (>= 3)
Depends CGHcall(>= 2.17.0), CGHbase(>= 1.15.0)
Imports Biobase, CGHbase, CGHcall, methods, stats, utils
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Package Archives

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

Package Source CGHnormaliter_1.20.0.tar.gz
Windows Binary CGHnormaliter_1.20.0.zip
Mac OS X 10.6 (Snow Leopard) CGHnormaliter_1.20.0.tgz
Mac OS X 10.9 (Mavericks) CGHnormaliter_1.20.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/CGHnormaliter/tree/release-3.0
Package Short Url http://bioconductor.org/packages/CGHnormaliter/
Package Downloads Report Download Stats

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