Researchers at Stanford University School of Medicine present in PLoS Computational Biology this week an integrative method for the data-driven discovery of candidate genes for human pain sensitivity that takes "advantage of the vast amount of existing disease-related clinical literature and gene expression microarray data stored in large international repositories." To develop this, the researchers first ranked thousands of diseases according to their disease-specific pai