GEM

This is the released version of GEM; for the devel version, see GEM.

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

Bioconductor version: Release (3.20)

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 (version "4.4") 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.

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GEM")

biocViews	DNAMethylation, GUI, GeneExpression, GenomeWideAssociation, MethylSeq, MethylationArray, Regression, SNP, Software
Version	1.32.0
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

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

Source Package	GEM_1.32.0.tar.gz
Windows Binary (x86_64)	GEM_1.32.0.zip (64-bit only)
macOS Binary (x86_64)	GEM_1.32.0.tgz
macOS Binary (arm64)	GEM_1.32.0.tgz
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