To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("cghMCR")

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

cghMCR

DOI: 10.18129/B9.bioc.cghMCR    

Find chromosome regions showing common gains/losses

Bioconductor version: Release (3.6)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("cghMCR")

Documentation

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

Details

biocViews CopyNumberVariation, Microarray, Software
Version 1.36.0
In Bioconductor since BioC 1.8 (R-2.3) (11.5 years)
License LGPL
Depends methods, DNAcopy, CNTools, limma
Imports BiocGenerics(>= 0.1.6), stats4
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package cghMCR_1.36.0.tar.gz
Windows Binary cghMCR_1.36.0.zip
Mac OS X 10.11 (El Capitan) cghMCR_1.36.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/cghMCR
Package Short Url http://bioconductor.org/packages/cghMCR/
Package Downloads Report Download Stats

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