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  1. iAFP-gap-SMOTE: An Efficient Feature Extraction Scheme Gapped Dipeptide Composition is Coupled with an Oversampling Technique for Identification of Antifreeze Proteins
  2. PSOFuzzySVM-TMH: identification of transmembrane helix segments using ensemble feature space by incorporated fuzzy support vector machine
  3. Discrimination of acidic and alkaline enzyme using Chou’s pseudo amino acid composition in conjunction with probabilistic neural network model
  4. Discriminating protein structure classes by incorporating Pseudo Average Chemical Shift to Chou's general PseAAC and Support Vector Machine
  5. Prediction of protein structure classes using hybrid space of multi-profile Bayes and bi-gram probability feature spaces
  6. WRF-TMH: predicting transmembrane helix by fusing composition index and physicochemical properties of amino acids
  7. Prediction of Membrane Protein Types Using Pseudo-Amino Acid Composition and Ensemble Classification
  8. Mem-PHybrid: Hybrid features-based prediction system for classifying membrane protein types
  9. Discriminating Outer Membrane Proteins with Fuzzy K-Nearest Neighbor Algorithms Based on the General Form of Chou’s PseAAC
  10. MemHyb: Predicting membrane protein types by hybridizing SAAC and PSSM
  11. Prediction of membrane proteins using split amino acid and ensemble classification
  12. CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition
  13. Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition
  14. Membrane protein prediction using wavelet decomposition and pseudo amino acid based feature extraction