Finding genes associated with a disease is an important issue in the biomedical 
area and many gene prioritization methods have been proposed for this goal. 
Among these, network-based approaches are recently proposed and outperformed 
functional annotation-based ones. Here, we introduce a novel Cytoscape plug-in, 
GPEC, to help identify putative genes likely to be associated with specific 
diseases or pathways. In the plug-in, gene prioritization is performed through a 
random walk with restart algorithm, a state-of-the art network-based method, 
along with a gene/protein relationship network. The plug-in also allows users 
efficiently collect biomedical evidence for highly ranked candidate genes. A set 
of known genes, candidate genes and a gene/protein relationship network can be 
provided in a flexible way.