GEM
This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see GEM.
GEM: fast association study for the interplay of Gene, Environment and Methylation
Bioconductor version: 3.6
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 "3.4") 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
Reference Manual | |
NEWS | Text |
Details
biocViews | DNAMethylation, GUI, GeneExpression, GenomeWideAssociation, MethylSeq, MethylationArray, Regression, SNP, Software |
Version | 1.4.0 |
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 | |
URL |
See More
Suggests | knitr, RUnit, testthat, BiocGenerics |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | GEM_1.4.0.tar.gz |
Windows Binary | GEM_1.4.0.zip |
Mac OS X 10.11 (El Capitan) | GEM_1.4.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GEM |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GEM |
Package Short Url | https://bioconductor.org/packages/GEM/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.6 | Source Archive |