Bioconductor version: Release (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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GEM")
HTML | R Script | The GEM User's Guide |
Reference Manual | ||
Text | NEWS |
biocViews | DNAMethylation, GUI, GeneExpression, GenomeWideAssociation, MethylSeq, MethylationArray, Regression, SNP, Software |
Version | 1.4.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (1.5 years) |
License | Artistic-2.0 |
Depends | R (>= 3.3) |
Imports | tcltk, ggplot2, methods, stats, grDevices, graphics, utils |
LinkingTo | |
Suggests | knitr, RUnit, testthat, BiocGenerics |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
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 |
Package Short Url | http://bioconductor.org/packages/GEM/ |
Package Downloads Report | Download Stats |
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