ROC curves for S. cerevisiae PPI dataset. ROC evaluations of semantic similarity measures at different cutoffs based on the S. cerevisiae PPI dataset derived from DIP are shown. The evaluation was performed using the cellular component, biological process and molecular function ontologies of GO. The maximum (MAX) approach for combining multiple annotations was used on the dataset, without (IEA-) electronic annotations. TCSS and Resnik show the best ROC profiles for all three ontologies.