Bioconductor version: Release (3.14)
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")
):
To install this package, start R (version "4.1") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CGEN")
R Script | CGEN Scan Vignette | |
R Script | CGEN Vignette | |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | Clustering, MultipleComparison, SNP, Software |
Version | 3.30.0 |
In Bioconductor since | BioC 2.7 (R-2.12) (11.5 years) |
License | GPL-2 + file LICENSE |
Depends | R (>= 4.0), survival, mvtnorm |
Imports | stats, graphics, utils, grDevices |
LinkingTo | |
Suggests | cluster |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | CGEN_3.30.0.tar.gz |
Windows Binary | CGEN_3.30.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | CGEN_3.30.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/CGEN |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CGEN |
Package Short Url | https://bioconductor.org/packages/CGEN/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.14 | Source Archive |
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