An Extreme Learning Machine Classifier for Prediction of Relative Solvent Accessibility in Proteins.
Saras SaraswathiAndrzej KloczkowskiRobert L. JerniganPublished in: IJCCI (ICFC-ICNC) (2010)
Keyphrases
- solvent accessibility
- protein sequences
- extreme learning machine
- prediction accuracy
- amino acids
- secondary structure
- protein structure
- amino acid sequences
- protein function
- support vector machine
- feed forward neural networks
- support vector regression
- protein structure prediction
- feedforward neural networks
- molecular biology
- single layer
- gaussian processes
- training data
- hidden nodes
- neural network
- multiple classifiers
- feature selection
- computational methods
- protein protein
- feature space
- classifier ensemble
- decision trees
- sequence analysis
- ensemble methods
- multi layer
- classification algorithm
- training examples
- feature set
- support vector
- learning algorithm