By Topic

Integrative analysis of methylation and gene expression data in TCGA

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yihua Liu ; Department of Bioinformatics and Computational Biology The University of Texas MD Anderson Cancer Center Houston, Texas 77030 ; Peng Qiu

An integrative analysis of methylation and gene expression is performed using TCGA data for 997 samples from multiple cancer types. We use conditional mutual information to examine each gene separately, identify 798 genes whose expression are repressed by their methylation, and derive gene-specific thresholds to dichotomize their methylation data. For each methylation controlled gene, we evaluate its conditional correlation with other genes, and infer which other genes are its regulators or targets. The resulting set of regulator genes is much larger than that of target genes, and the set of regulator genes is highly enriched by transcription factors.

Published in:

Genomic Signal Processing and Statistics, (GENSIPS), 2012 IEEE International Workshop on

Date of Conference:

2-4 Dec. 2012