Features selected from the prostate cancer dataset (Gleason 5 vs. Gleason 7 cases) by the proposed GDFS method (GDFS), correlation-based feature selection (CFS), and recursive partitioning (rpart). Features that were selected in 90% more of the cross-validation models are marked with . Also listed are the predominant glycan structures corresponding to each selected peak. Detailed N-glycan composition of human serum was described in Royle et al. , and these peaks were also assigned in Saldova et al. . *Peak 24 was the one most frequently selected by rpart, but less than 80% of the time.