GEM

This is the development version of GEM; for the stable release version, see GEM.

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

Bioconductor version: Development (3.21)

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 (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")

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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	DNAMethylation, GUI, GeneExpression, GenomeWideAssociation, MethylSeq, MethylationArray, Regression, SNP, Software
Version	1.33.0
In Bioconductor since	BioC 3.4 (R-3.3) (8 years)
License	Artistic-2.0
Depends	R (>= 3.3)
Imports	tcltk, ggplot2, methods, stats, grDevices, graphics, utils
System Requirements
URL

Suggests	knitr, RUnit, testthat, BiocGenerics, rmarkdown, markdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report

Package Archives

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

Source Package	GEM_1.33.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/GEM
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/GEM
Bioc Package Browser	https://code.bioconductor.org/browse/GEM/
Package Short Url	https://bioconductor.org/packages/GEM/
Package Downloads Report	Download Stats