To install this package, start R and enter:

source("http://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: Release (3.1)

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")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("cnvGSA")

Documentation

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

browseVignettes("cnvGSA")

 

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

Details

biocViews MultipleComparison, Software
Version 1.12.0
In Bioconductor since BioC 2.10 (R-2.15)
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  

Package Archives

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

Package Source cnvGSA_1.12.0.tar.gz
Windows Binary cnvGSA_1.12.0.zip
Mac OS X 10.6 (Snow Leopard) cnvGSA_1.12.0.tgz
Mac OS X 10.9 (Mavericks) cnvGSA_1.12.0.tgz
Browse/checkout source (username/password: readonly)
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