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MethylMix

MethylMix: Identifying methylation driven cancer genes

Bioconductor version: 3.24 · Package version: 2.43.0

MethylMix is an algorithm implemented to identify hyper and hypomethylated genes for a disease. MethylMix is based on a beta mixture model to identify methylation states and compares them with the normal DNA methylation state. MethylMix uses a novel statistic, the Differential Methylation value or DM-value defined as the difference of a methylation state with the normal methylation state. Finally, matched gene expression data is used to identify, besides differential, functional methylation states by focusing on methylation changes that effect gene expression. References: Gevaert 0. MethylMix: an R package for identifying DNA methylation-driven genes. Bioinformatics (Oxford, England). 2015;31(11):1839-41. doi:10.1093/bioinformatics/btv020. Gevaert O, Tibshirani R, Plevritis SK. Pancancer analysis of DNA methylation-driven genes using MethylMix. Genome Biology. 2015;16(1):17. doi:10.1186/s13059-014-0579-8.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MethylMix")

Details

MaintainerOlivier Gevaert <olivier.gevaert@gmail.com>
AuthorOlivier Gevaert
LicenseGPL-2
Downloads rank603
Source branchdevel
biocViewsDNAMethylation, DifferentialExpression, DifferentialMethylation, GeneExpression, GeneRegulation, MethylationArray, Network, Pathways, Software, StatisticalMethod

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageMethylMix_2.43.0.tar.gz
Windows binary (x86_64)MethylMix_2.43.0.zip
macOS binary (arm64)MethylMix_2.43.0.tgz
macOS binary (x86_64)MethylMix_2.43.0.tgz
Dependencies

Depends: R (>= 3.2.0)

Imports: foreach, RPMM, RColorBrewer, ggplot2, RCurl, impute, data.table, limma, R.matlab, digest

Suggests: BiocStyle, doParallel, testthat, knitr, rmarkdown

Reverse dependencies

Imports Me (1): gINTomics