To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("GEM")

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

GEM

DOI: 10.18129/B9.bioc.GEM    

This package is for version 3.5 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see RMAGEML.

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

Bioconductor version: Release (3.5)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/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 1.2.0
In Bioconductor since BioC 3.4 (R-3.3) (1 year)
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_1.2.0.tar.gz
Windows Binary GEM_1.2.0.zip
Mac OS X 10.11 (El Capitan) GEM_1.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GEM
Package Short Url http://bioconductor.org/packages/GEM/
Package Downloads Report Download Stats

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