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CGHnormaliter

Normalization of array CGH data with imbalanced aberrations.


Bioconductor version: Release (3.18)

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 (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CGHnormaliter")

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

Documentation

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

browseVignettes("CGHnormaliter")
CGHnormaliter PDF R Script
Reference Manual PDF

Details

biocViews Microarray, Preprocessing, Software
Version 1.56.0
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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Package Archives

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

Source Package CGHnormaliter_1.56.0.tar.gz
Windows Binary CGHnormaliter_1.56.0.zip
macOS Binary (x86_64) CGHnormaliter_1.56.0.tgz
macOS Binary (arm64) CGHnormaliter_1.56.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CGHnormaliter
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CGHnormaliter
Bioc Package Browser https://code.bioconductor.org/browse/CGHnormaliter/
Package Short Url https://bioconductor.org/packages/CGHnormaliter/
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