FEM (Functional Epigenetic Modules) algorithm


FEM can dentify interactome hotspots of differential promoter methylation and differential ex-pression, where an inverse association between promoter methylation and gene expression is assumed.A R package to identify interactome hotspots of differential promoter methylation and differential expression, where an inverse association between promoter methylation and gene expression is assumed1.


examiner

[Bioconductor Link]

Citation

Jiao Y, Widschwendter M, Teschendorff AE. “A systems-level integrative framework for genomewide DNA methylation and gene expression data identifies differential gene expression modules under epigenetic control.” Bioinformatics 2014, doi: 10.1093/bioinformatics/btu316 (2014-05-02)

Jones A, Teschendorff AE, Li Q, Hayward JD, Kannan A, et al. (2013) Role of dna methylation and epigenetic silencing of hand2 in endometrial cancer development. PLoS Med 10:e1001551.

Installation

To install this package, start R and enter:

source("http://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 : A R package to identify interactome hotspots of differential promoter methylation and differential expression, where an inverse association between promoter methylation and gene expression is assumed1.

PDF: Reference Manual