cnvGSA
Gene Set Analysis of (Rare) Copy Number Variants
Bioconductor version: Release (3.19)
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 (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cnvGSA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
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 |
Details
biocViews | MultipleComparison, Software |
Version | 1.48.0 |
In Bioconductor since | BioC 2.10 (R-2.15) (12.5 years) |
License | LGPL |
Depends | brglm, doParallel, foreach, GenomicRanges, methods, splitstackshape |
Imports | |
System Requirements | |
URL |
See More
Suggests | cnvGSAdata, org.Hs.eg.db |
Linking To | |
Enhances | |
Depends On Me | cnvGSAdata |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | cnvGSA_1.48.0.tar.gz |
Windows Binary (x86_64) | cnvGSA_1.48.0.zip (64-bit only) |
macOS Binary (x86_64) | cnvGSA_1.48.0.tgz |
macOS Binary (arm64) | cnvGSA_1.48.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/cnvGSA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/cnvGSA |
Bioc Package Browser | https://code.bioconductor.org/browse/cnvGSA/ |
Package Short Url | https://bioconductor.org/packages/cnvGSA/ |
Package Downloads Report | Download Stats |