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.
This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see cnvGSA.
Bioconductor version: 3.3
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")
cnvGSA - Gene-Set Analysis of Rare Copy Number Variants | ||
cnvGSAUsersGuide.pdf | ||
Reference Manual |
biocViews | MultipleComparison, Software |
Version | 1.16.0 |
In Bioconductor since | BioC 2.10 (R-2.15) (4.5 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_1.16.0.tar.gz |
Windows Binary | cnvGSA_1.16.0.zip |
Mac OS X 10.9 (Mavericks) | cnvGSA_1.16.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/cnvGSA/tree/release-3.3 |
Package Short Url | http://bioconductor.org/packages/cnvGSA/ |
Package Downloads Report | Download Stats |
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