Abstract?Many methods for predicting glycosylation sites in protein sequences have been developed. Finding effective meta-prediction strategies thatintegratedifference kind of glycosylation sites predictors to achieve higher prediction performance is highly required. In this paper, we use the framework of multiplicative update algorithms in on-line decision problem to get more efficiency meta-predictors. The experimental results show that performances of our meta-predictor are better than Oglyc, DictyOGlyc, YinOYang, and NetOGlyc in O-glycosylation sitesprediction.
