Support Vector Machines for Prediction of Protein Domain Structural Class

This publication has 12 references indexed in Scilit:

• Prediction of protein cellular attributes using pseudo‐amino acid composition
  Proteins-Structure Function and Bioinformatics, 2001
• Using neural networks for prediction of domain structural classes
  Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology, 1999
• Using Pair-Coupled Amino Acid Composition to Predict Protein Secondary Structure Content
  Protein Journal, 1999
• Domain structural class prediction
  Protein Engineering, Design and Selection, 1998
• Prediction and classification of domain structural classes
  Proteins-Structure Function and Bioinformatics, 1998
• Text categorization with Support Vector Machines: Learning with many relevant features
  Published by Springer Nature ,1998
• Understanding the recognition of protein structural classes by amino acid composition
  Proteins-Structure Function and Bioinformatics, 1997
• Support-vector networks
  Machine Learning, 1995
• A novel approach to predicting protein structural classes in a (20–1)‐D amino acid composition space
  Proteins-Structure Function and Bioinformatics, 1995
• Prediction of Protein Structural Classes
  Critical Reviews in Biochemistry and Molecular Biology, 1995