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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 142
Type: Topic Contributed
Date/Time: Monday, July 30, 2007 : 10:30 AM to 12:20 PM
Sponsor: WNAR
Abstract - #309850
Title: WGCNA: A Software for Weighted Gene Coexpression Network Analysis
Author(s): Lin Wang*+
Companies: University of California, Los Angeles
Address: 11511 Ohio Avenue, Los Angeles, CA, 90025,
Keywords: Weighted network ; gene expression ; gene co-expression
Abstract:

Weighted gene co-expression network approach for analyzing microarray data has been shown to be useful to elucidate the molecular basis of cancer, complex traits, and other genomic applications. Here we present a software, WGCNA, which implements gene co-expression network construction, module detection, and connectivity calculation. We show how to use the software to find biologically and statistically significant genes. This user-friendly software has a graphic interface that facilitates straightforward input of microarray and clinical trait data. For each gene it computes several intra-modular connectivity measures, which can be interpreted as fuzzy clustering. We also illustrate network screening by identifying cancer related genes and show how to compute a false discovery rate.

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Revised September, 2007