To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("cghMCR")

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

cghMCR

Find chromosome regions showing common gains/losses

Bioconductor version: 3.1

This package provides functions to identify genomic regions of interests based on segmented copy number data from multiple samples.

Author: J. Zhang and B. Feng

Maintainer: J. Zhang <jzhang at jimmy.harvard.edu>

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

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("cghMCR")

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

browseVignettes("cghMCR")

PDF	R Script	cghMCR findMCR
PDF		Reference Manual

biocViews	CopyNumberVariation, Microarray, Software
Version	1.26.0
In Bioconductor since	BioC 1.8 (R-2.3) (9.5 years)
License	LGPL
Depends	methods, DNAcopy, CNTools, limma
Imports	BiocGenerics(>= 0.1.6), stats4
LinkingTo
Suggests
SystemRequirements
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URL
Depends On Me
Imports Me
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Build Report

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

Package Source	cghMCR_1.26.0.tar.gz
Windows Binary	cghMCR_1.26.0.zip
Mac OS X 10.6 (Snow Leopard)	cghMCR_1.26.0.tgz
Mac OS X 10.9 (Mavericks)	cghMCR_1.26.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/cghMCR/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/cghMCR/
Package Downloads Report	Download Stats

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