JPPRED: Prediction of Types of J-Proteins from Imbalanced Data Using an Ensemble Learning Method

Figure 1

The computational framework of the proposed method. SAAC: split amino acid composition; PseAAC: pseudo amino acid composition; PSSM: position specific scoring matrix; SU: symmetric uncertainty; IFS: incremental feature selection; SMOTE: synthetic minority oversampling technique; RBF: radial basis function; RF: random forest; NB: naïve Bayes; LR: logistic regression.