To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MethylMix")

In most cases, you don't need to download the package archive at all.

MethylMix

   

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see MethylMix.

MethylMix: Identifying methylation driven cancer genes.

Bioconductor version: 3.2

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.

Author: Olivier Gevaert

Maintainer: Olivier Gevaert <olivier.gevaert at gmail.com>

Citation (from within R, enter citation("MethylMix")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MethylMix")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MethylMix")

 

PDF MethylMix
PDF   Reference Manual

Details

biocViews DNAMethylation, DifferentialExpression, DifferentialMethylation, GeneExpression, GeneRegulation, MethylationArray, Network, Pathways, Software, StatisticalMethod
Version 1.4.0
In Bioconductor since BioC 3.0 (R-3.1) (1.5 years)
License GPL-2
Depends R (>= 3.1.1)
Imports foreach, parallel, doParallel, RColorBrewer, optimx, RPMM
LinkingTo
Suggests BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source MethylMix_1.4.0.tar.gz
Windows Binary MethylMix_1.4.0.zip
Mac OS X 10.6 (Snow Leopard) MethylMix_1.4.0.tgz
Mac OS X 10.9 (Mavericks) MethylMix_1.4.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/MethylMix/tree/release-3.2
Package Short Url http://bioconductor.org/packages/MethylMix/
Package Downloads Report Download Stats

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