To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("cnvGSA")

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

cnvGSA

Gene Set Analysis of (Rare) Copy Number Variants

Bioconductor version: 3.2

This package is intended to facilitate gene-set association with rare CNVs in case-control studies.

Author: Daniele Merico <daniele.merico at gmail.com>, Robert Ziman <rziman at gmail.com>; packaged by Joseph Lugo <joseph.r.lugo at gmail.com>

Maintainer: Joseph Lugo <joseph.r.lugo at gmail.com>

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

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("cnvGSA")

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

browseVignettes("cnvGSA")

PDF		cnvGSA - Gene-Set Analysis of Rare Copy Number Variants
PDF		cnvGSAUsersGuide.pdf
PDF		Reference Manual

biocViews	MultipleComparison, Software
Version	1.14.0
In Bioconductor since	BioC 2.10 (R-2.15) (4 years)
License	LGPL
Depends	brglm, doParallel, foreach, GenomicRanges, methods, splitstackshape
Imports
LinkingTo
Suggests	cnvGSAdata, org.Hs.eg.db
SystemRequirements
Enhances
URL
Depends On Me	cnvGSAdata
Imports Me
Suggests Me
Build Report

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

Package Source	cnvGSA_1.14.0.tar.gz
Windows Binary	cnvGSA_1.14.0.zip
Mac OS X 10.6 (Snow Leopard)	cnvGSA_1.14.0.tgz
Mac OS X 10.9 (Mavericks)	cnvGSA_1.14.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/cnvGSA/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/cnvGSA/
Package Downloads Report	Download Stats

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