Finding friends and enemies in an enemies-only network: A graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions

Results of SFL prediction with and without data integration. Four features—three derived from protein–protein interactions and one obtained from Gene Ontology annotations—were used in data integration by the support vector machine (SVM). The G⁻ scores used in direct ranking and for the SVM were obtained with γ = 32. (*) The results of the SVM classification. See text for details. (A) Precision-recall curves of four methods. The SVM classifier that integrates additional features with G⁻ performs the best. (B) Receiver-operator characteristic curves of four methods. The SVM classifier that integrates additional features with G⁻ performs the best.