GEM
GEM: fast association study for the interplay of Gene, Environment and Methylation
Bioconductor version: 3.23 · Package version: 1.38.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
Tools for analyzing EWAS, methQTL and GxE genome widely.
DOI: 10.18129/B9.bioc.GEM
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GEM")Details
| Maintainer | Hong Pan <pan_hong@sics.a-star.edu.sg> |
| Author | Hong Pan, Joanna D Holbrook, Neerja Karnani, Chee-Keong Kwoh |
| License | Artistic-2.0 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | DNAMethylation, GUI, GeneExpression, GenomeWideAssociation, MethylSeq, MethylationArray, Regression, SNP, Software |
| Package Short Url | https://bioconductor.org/packages/GEM/ |
Citation
From within R, enter citation("GEM"):
Hong Pan, Joanna D Holbrook, Neerja Karnani, Chee-Keong Kwoh. GEM: GEM: fast association study for the interplay of Gene, Environment and Methylation. doi:10.18129/B9.bioc.GEM, R package version 1.38.0, https://bioconductor.org/packages/GEM.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | GEM_1.38.0.tar.gz |
| Windows binary (x86_64) | GEM_1.38.0.zip |
| macOS binary (arm64) | GEM_1.38.0.tgz |
| macOS binary (x86_64) | GEM_1.38.0.tgz |