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GEM

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


Bioconductor version: Release (3.19)

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 "4.4") 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.

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 1.30.0
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
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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_1.30.0.tar.gz
Windows Binary (x86_64) GEM_1.30.0.zip
macOS Binary (x86_64) GEM_1.30.0.tgz
macOS Binary (arm64) GEM_1.30.0.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