In PLoS Computational Biology this week, the University of British Columbia's Kelvin Zhang and the Ontario Institute for Cancer Research's Francis Ouellette present an approach to predict cancer outcomes based on relationships "between protein structural information, protein networks, gene expression data, and mutation data," which together form the "domain interaction network in human proteome." The team's approach first scored each protein "by quantifying the domain conne