DocumentCode
2038791
Title
Integrative analysis of methylation and gene expression data in TCGA
Author
Yihua Liu ; Peng Qiu
Author_Institution
Dept. of Bioinf. & Comput. Biol., Univ. of Texas MD Anderson Cancer Center, Houston, TX, USA
fYear
2012
fDate
2-4 Dec. 2012
Firstpage
1
Lastpage
4
Abstract
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.
Keywords
biochemistry; biomedical engineering; cancer; genetics; TCGA data; dichotomize; gene expression data; gene-specific thresholds; integrative analysis; methylation data; multiple cancer types; transcription factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Genomic Signal Processing and Statistics, (GENSIPS), 2012 IEEE International Workshop on
Conference_Location
Washington, DC
ISSN
2150-3001
Print_ISBN
978-1-4673-5234-5
Type
conf
DOI
10.1109/GENSIPS.2012.6507712
Filename
6507712
Link To Document