Prediction of human cytochrome P450 2B6-substrate interactions using hierarchical support vector regression approach.
Max K. LeongYen-Ming ChenTzu-Hsien ChenPublished in: J. Comput. Chem. (2009)
Keyphrases
- support vector regression
- regression model
- protein interaction
- load forecasting
- support vector
- forecasting accuracy
- hybrid model
- extreme learning machine
- prediction model
- kernel function
- hybrid genetic
- support vector classification
- back propagation neural network
- support vector machine svm
- ann models
- nonlinear regression
- support vector machine
- electronic equipment
- neural network
- response surface methodology
- wavelet neural network
- training data
- singular spectrum analysis
- wavelet frame
- pattern recognition
- multiscale
- image processing
- autoregressive conditional heteroscedasticity
- multiple linear regression
- kernel learning
- forecasting model
- regression method
- prediction error
- real valued
- long term
- feature space
- decision trees
- genetic algorithm