To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GEM")

In most cases, you don't need to download the package archive at all.

GEM

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see GEM.

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

Bioconductor version: 3.4

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>

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

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GEM")

biocViews	DNAMethylation, GUI, GeneExpression, GenomeWideAssociation, MethylSeq, MethylationArray, Regression, SNP, Software
Version	1.0.0
In Bioconductor since	BioC 3.4 (R-3.3) (0.5 years)
License	Artistic-2.0
Depends	R (>= 3.3)
Imports	tcltk, ggplot2, methods, stats, grDevices, graphics, utils
LinkingTo
Suggests	knitr, RUnit, testthat, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	GEM_1.0.0.tar.gz
Windows Binary	GEM_1.0.0.zip
Mac OS X 10.9 (Mavericks)	GEM_1.0.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/GEM/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/GEM/
Package Downloads Report	Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Please read the posting guide. Post questions about Bioconductor to one of the following locations: