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 :
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