|
Activity Number:
|
154
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Monday, July 30, 2007 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
WNAR
|
| Abstract - #310165 |
|
Title:
|
A Network-Based Gene Screening Approach
|
|
Author(s):
|
Wei Zhao*+ and Paul Mischel and Steve Horvath
|
|
Companies:
|
University of California, Los Angeles and University of California, Los Angeles and University of California, Los Angeles
|
|
Address:
|
Department of Human Genetics, Los Angeles, CA, 90095,
|
|
Keywords:
|
Network ; Microarray ; Gene Screening
|
|
Abstract:
|
Weighted gene co-expression network analysis (WGCNA) has been shown successful in selecting cancer relevant genes using microarray data. We systematically study the WGCNA based gene screening method and compared it with traditional gene screening methods. Using public available microarray data sets, we show that the genes with high connectivity in clinically relevant modules are strikingly and reproducibly associated with the clinical outcome. These results demonstrate that gene co-expression networks contain valuable information for identifying prognostically important individual genes. Our simulations and empirical studies show that network connectivity can be an important additional gene screening variable for selecting biologically and statistically significant genes.
|
