To install this package, start R and enter:

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

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

Clonality

Clonality testing

Bioconductor version: Release (3.1)

Statistical tests for clonality versus independence of tumors from the same patient based on their LOH or genomewide copy number profiles

Author: Irina Ostrovnaya

Maintainer: Irina Ostrovnaya <ostrovni at mskcc.org>

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

To install this package, start R and enter:

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

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

browseVignettes("Clonality")

PDF	R Script	Clonality
PDF		Reference Manual

biocViews	Classification, CopyNumberVariation, Microarray, Software, aCGH
Version	1.16.0
In Bioconductor since	BioC 2.8 (R-2.13) (4.5 years)
License	GPL-3
Depends	R (>= 2.12.2), DNAcopy
Imports	DNAcopy, grDevices, graphics, stats, utils
LinkingTo
Suggests	gdata, DNAcopy
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	Clonality_1.16.0.tar.gz
Windows Binary	Clonality_1.16.0.zip
Mac OS X 10.6 (Snow Leopard)	Clonality_1.16.0.tgz
Mac OS X 10.9 (Mavericks)	Clonality_1.16.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/Clonality/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/Clonality/
Package Downloads Report	Download Stats

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