GEM

DOI: 10.18129/B9.bioc.GEM    

GEM: fast association study for the interplay of Gene, Environment and Methylation

Bioconductor version: Release (3.15)

Tools for analyzing EWAS, methQTL and GxE genome widely.

Author: Hong Pan, Joanna D Holbrook, Neerja Karnani, Chee-Keong Kwoh

Maintainer: Hong Pan <pan_hong at sics.a-star.edu.sg>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("GEM")

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("GEM")

 

HTML	R Script	The GEM User's Guide
PDF		Reference Manual
Text		NEWS

Details

biocViews	DNAMethylation, GUI, GeneExpression, GenomeWideAssociation, MethylSeq, MethylationArray, Regression, SNP, Software
Version	1.22.0
In Bioconductor since	BioC 3.4 (R-3.3) (6 years)
License	Artistic-2.0
Depends	R (>= 3.3)
Imports	tcltk, ggplot2, methods, stats, grDevices, graphics, utils
LinkingTo
Suggests	knitr, RUnit, testthat, BiocGenerics, rmarkdown, markdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	GEM_1.22.0.tar.gz
Windows Binary	GEM_1.22.0.zip (64-bit only)
macOS Binary (x86_64)	GEM_1.22.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GEM
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/GEM
Package Short Url	https://bioconductor.org/packages/GEM/
Package Downloads Report	Download Stats