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ROBUST GENE NETWORK ANALYSIS REVEALS ALTERATION OF THE STAT5a NETWORK AS A HALLMARK OF PROSTATE CANCER

ROBUST GENE NETWORK ANALYSIS REVEALS ALTERATION OF THE STAT5a NETWORK AS A HALLMARK OF PROSTATE CANCER

Authors :
Conway C. Huang
Huiqing Liu
Gyan Bhanot
Charles DeLisi
Marja T. Nevalainen
Sándor Szalma
Anupama Reddy
Source :
Genome Informatics 2010.
Publication Year :
2010
Publisher :
IMPERIAL COLLEGE PRESS, 2010.

Abstract

We develop a general method to identify gene networks from pair-wise correlations between genes in a microarray data set and apply it to a public prostate cancer gene expression data from 69 primary prostate tumors. We define the degree of a node as the number of genes significantly associated with the node and identify hub genes as those with the highest degree. The correlation network was pruned using transcription factor binding information in VisANT (http://visant.bu.edu/) as a biological filter. The reliability of hub genes was determined using a strict permutation test. Separate networks for normal prostate samples, and prostate cancer samples from African Americans (AA) and European Americans (EA) were generated and compared. We found that the same hubs control disease progression in AA and EA networks. Combining AA and EA samples, we generated networks for low low (

Details

Database :
OpenAIRE
Journal :
Genome Informatics 2010
Accession number :
edsair.doi.dedup.....9053342969b97eb6f17cf8ed58ea915f
Full Text :
https://doi.org/10.1142/9781848166585_0012