Vol. 16, No. 4 PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only
Many recent efforts have been made for the development of machine learning based methods for fast and accurate phosphorylation site prediction. Currently, a majority of well-performing methods are based on hybrid information to build prediction models, such as evolutionary information, and disorder information, etc.