BioinformaticsBioinformaticsPeer-reviewed
Predicting protein functions using positive-unlabeled ranking with ontology-based priors
Fernando Zhapa-Camacho, Zhenwei Tang, Maxat Kulmanov, Robert Hoehndorf
This paper introduces PU-GO, a method for protein function prediction that addresses the positive-unlabeled ranking problem using ontology-based priors, showing improved performance on benchmark datasets.
11 citations