GEM

DOI: 10.18129/B9.bioc.GEM    

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

Bioconductor version: Release (3.6)

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 and enter:

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

Documentation

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	1.4.0
In Bioconductor since	BioC 3.4 (R-3.3) (1.5 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

Package Archives

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

Source Package	GEM_1.4.0.tar.gz
Windows Binary	GEM_1.4.0.zip
Mac OS X 10.11 (El Capitan)	GEM_1.4.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GEM
Package Short Url	http://bioconductor.org/packages/GEM/
Package Downloads Report	Download Stats