To install this package, start R and enter:

## try http:// if https:// URLs are not supported
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 (3.5)

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:// URLs are not supported
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	1.24.0
In Bioconductor since	BioC 2.8 (R-2.13) (6.5 years)
License	GPL-3
Depends	R (>= 2.12.2), DNAcopy
Imports	grDevices, graphics, stats, utils
LinkingTo
Suggests	gdata
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Source Package	Clonality_1.24.0.tar.gz
Windows Binary	Clonality_1.24.0.zip
Mac OS X 10.11 (El Capitan)	Clonality_1.24.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/Clonality
Package Short Url	http://bioconductor.org/packages/Clonality/
Package Downloads Report	Download Stats

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