Seminar
Lin Wang
A user-friendly software for weighted gene co-expression network analysis (WGCNA)
Weighted gene co-expression network analysis is a systems biologic method for integrating microarray data
with clinical outcomes and other genomic data. The method has been applied to identify candidate biomarkers
in cancer, mouse genetics, and other gemomic applications. Here we describe how the software WGCNA can be
used for constructing a gene co-expression network, finding co-expression modules, and calculating module
membership measures (related to intra-modular connectivity). We show how to integrate gene significance
measures and intra-modular connectivity to find biologically and statistically significant genes. The
user-friendly software has a graphic interface that facilitates straightforward input of microarray and
clinical trait data or predefined gene information. The software can analyze networks comprised of tens
of thousands of genes and implements several options for automatic and manual gene selection
("network screening"). 