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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 (3.21)

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")

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")

Details biocViews DNAMethylation, GUI, GeneExpression, GenomeWideAssociation, MethylSeq, MethylationArray, Regression, SNP, Software Version 1.34.0 In Bioconductor since BioC 3.4 (R-3.3) (8.5 years) License Artistic-2.0 Depends R (>= 3.3) Imports tcltk, ggplot2, methods, stats, grDevices, graphics, utils System Requirements URL See More Package Archives

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

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