Using Chou's amphiphilic Pseudo-Amino Acid Composition and Extreme Learning Machine for prediction of Protein-protein interactions

Keyphrases

• Extreme Learning Machine 100%
• Protein-protein Interaction 100%
• Pseudo Amino Acid Composition (PseAAC) 100%
• Protein-protein Interaction Prediction 100%
• Composition Learning 100%
• Cellular Process 40%
• Prediction Accuracy 20%
• State-of-the-art Techniques 20%
• Learning Algorithm 20%
• Linear Equations 20%
• Classification Methods 20%
• Saccharomyces Cerevisiae 20%
• Unit Weight 20%
• Computational Approach 20%
• Support Vector Machine 20%
• Protein Sequence 20%
• Prediction Quality 20%
• Interaction Games 20%
• Fast Learning 20%
• Sequence Correlation 20%
• Protein-protein Interaction Data 20%
• Hidden Unit 20%
• Extreme Learning Machine Classifier 20%
• Random number Generation 20%
• Amino Acid Composition 20%
• Prediction Engine 20%
• Physical Binding 20%
• Correlation Factor 20%
• Output Weights 20%
• Discrete Sequence 20%

Mathematics

• Prediction Quality 100%
• Support Vector Machine 100%
• Hidden Unit 100%
• Protein Interaction Data 100%
• Computational Approach 100%
• Unit Weight 100%
• Linear Equation 100%
• Classification Method 100%

Computer Science

• Extreme Learning Machine 100%
• Prediction Accuracy 33%
• Support Vector Machine 33%
• Learning Algorithm 33%
• Computational Approach 33%
• Linear Equation 33%
• Classification Method 33%
• Amino Acid Sequence 33%