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CGEN

An R package for analysis of case-control studies in genetic epidemiology


Bioconductor version: Release (3.18)

This is a package for analysis of case-control data in genetic epidemiology. It provides a set of statistical methods for evaluating gene-environment (or gene-genes) interactions under multiplicative and additive risk models, with or without assuming gene-environment (or gene-gene) independence in the underlying population.

Author: Samsiddhi Bhattacharjee [aut], Nilanjan Chatterjee [aut], Summer Han [aut], Minsun Song [aut], William Wheeler [aut], Matthieu de Rochemonteix [aut], Nilotpal Sanyal [aut], Justin Lee [cre]

Maintainer: Justin Lee <jhylee at stanford.edu>

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

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CGEN")

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("CGEN")
CGEN Scan Vignette PDF R Script
CGEN Vignette PDF R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Clustering, MultipleComparison, SNP, Software
Version 3.38.0
In Bioconductor since BioC 2.7 (R-2.12) (13.5 years)
License GPL-2 + file LICENSE
Depends R (>= 4.0), survival, mvtnorm
Imports stats, graphics, utils, grDevices
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Package Archives

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

Source Package CGEN_3.38.0.tar.gz
Windows Binary CGEN_3.38.0.zip
macOS Binary (x86_64) CGEN_3.38.0.tgz
macOS Binary (arm64) CGEN_3.38.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CGEN
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CGEN
Bioc Package Browser https://code.bioconductor.org/browse/CGEN/
Package Short Url https://bioconductor.org/packages/CGEN/
Package Downloads Report Download Stats