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GEM

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


Bioconductor version: Release (3.18)

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 "4.3") 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.

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

Details

biocViews DNAMethylation, GUI, GeneExpression, GenomeWideAssociation, MethylSeq, MethylationArray, Regression, SNP, Software
Version 1.28.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License Artistic-2.0
Depends R (>= 3.3)
Imports tcltk, ggplot2, methods, stats, grDevices, graphics, utils
System Requirements
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Suggests knitr, RUnit, testthat, BiocGenerics, rmarkdown, markdown
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Package Archives

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

Source Package GEM_1.28.0.tar.gz
Windows Binary GEM_1.28.0.zip
macOS Binary (x86_64) GEM_1.28.0.tgz
macOS Binary (arm64) GEM_1.28.0.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