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Article

A network-based approach to identify disease-associated gene modules through integrating DNA methylation and gene expression.

Biochemical and biophysical research communications - 25 Sept 2015

Zhang Yuanyuan, Zhang Junying, Liu Zhaowen, Liu Yajun, Tuo Shouheng

Abstract excerpt

Formation and progression of complex diseases are generally the joint effect of genetic and epigenetic disorders, thus an integrative analysis of epigenetic and genetic data is essential for understanding mechanism of the diseases. In this study, we integrate Illuminate 450k DNA methylation and gene expression data to calculate the weights of gene network using Principal Component Analysis (PCA) and Canonical...

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PMID: 26282201
DOI: 10.1016/j.bbrc.2015.08.033

Genes

BRCA1
CDK2
MCM7
SNRPD3
TAF9
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