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

 

   

This is the development version of cnvGSA; for the stable release version, see cnvGSA.

Gene Set Analysis of (Rare) Copy Number Variants

Bioconductor version: Development (3.4)

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:

## try http:// if https:// URLs are not supported
source("https://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 cnvGSA - Gene-Set Analysis of Rare Copy Number Variants
PDF cnvGSAUsersGuide.pdf
PDF   Reference Manual

Details

biocViews MultipleComparison, Software
Version 1.17.0
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  

Package Archives

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

Package Source cnvGSA_1.17.0.tar.gz
Windows Binary cnvGSA_1.17.0.zip
Mac OS X 10.9 (Mavericks) cnvGSA_1.17.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/cnvGSA
Package Short Url http://bioconductor.org/packages/cnvGSA/
Package Downloads Report Download Stats

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