This is the development version of GEM; for the stable release version, see GEM.
GEM: fast association study for the interplay of Gene, Environment and MethylationBioconductor version: Development (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")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("GEM")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo 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 1.35.0 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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