Identifies interactome hotspots ofdifferential promoter methylation and differentialexpression, where an inverse association between methylation and gene expression is assumed
Arguments
Details
Package:
FEM
Type:
Package
Version:
1.0
Date:
2014-01-22
License:
GPL >2
References
1Jiao Y, Widschwendter M, Teschendorff AE. A systems-level integrative framework for genome-wide DNA methylation and gene expression data identifies differential gene expression modules under epigenetic control. Bioinformatics 2014, doi: 10.1093/bioinformatics/btu316 (2014-05-02)
2 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.
3 Reichardt J, Bornholdt S (2006) Statistical mechanics of community detection. Phys Rev E 74:016110. doi:10.1103/PhysRevE.74.016110. URL http://link.aps.org/doi/10.1103/PhysRevE.74.016110.
4 West J, Beck S, Wang X, Teschendorff AE (2013) An integrative network algorithm identifies age-associated differential methylation interactome
hotspots targeting stem-cell differentiation pathways. Sci Rep 3:1630.