GEM

This is thereleased version of GEM; for the devel version, seeGEM.

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

Bioconductor version: Release (3.22)

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, entercitation("GEM")):

To install this package, start R (version "4.5") and enter:

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

For older versions of R, please refer to the appropriateBioconductor 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	1.36.0
In Bioconductor since	BioC 3.4 (R-3.3) (9 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
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Build Report	Build Report

FollowInstallation instructions to use this package in your R session.

Source Package	GEM_1.36.0.tar.gz
Windows Binary (x86_64)	GEM_1.36.0.zip
macOS Binary (x86_64)	GEM_1.36.0.tgz
macOS Binary (arm64)	GEM_1.36.0.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