To install this package, start R and enter:

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

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

FEM

This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see FEM.

Identification of Functional Epigenetic Modules

Bioconductor version: 3.1

The FEM package performs a systems-level integrative analysis of DNA methylation and gene expression data. It seeks modules of functionally related genes which exhibit differential promoter DNA methylation and differential expression, where an inverse association between promoter DNA methylation and gene expression is assumed. For full details, see Jiao et al Bioinformatics 2014.

Author: Andrew E. Teschendorff and Yinming Jiao

Maintainer: Andrew E. Teschendorff <andrew at picb.ac.cn>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("FEM")

PDF R Script The FEM package performs a systems-level integrative analysis of DNA methylationa and gene expression. It seeks modules of functionally related genes which exhibit differential promoter DNA methylation and differential expression, where an inverse association between promoter DNA methylation and gene expression is assumed. For full details, see Jiao et al Bioinformatics 2014.

PDF Reference Manual