Network propagation is an important and widely used algorithm in systems biology, with applications in protein function prediction, disease gene prioritization, and patient stratification. However, up to this point it has required significant expertise to run. Here we extend the popular network analysis program Cytoscape to perform network propagation as an integrated function. Such integration greatly increases the access to network propagation by putting it in the hands of biologists and linking it to the many other types of network analysis and visualization available through Cytoscape. We demonstrate the power and utility of the algorithm by identifying mutations conferring resistance to Vemurafenib. "This is a PLOS Computational Biology Software paper."
Network propagation has become a demanding technique in computational systems biology with the focus on protein function prediction, disease gene prioritization, and patient stratification REF .
Network propagation in the cytoscape cyberinfrastructure
PLoS Computational Biology
PLoS Computational Biology
Computer Science Medicine