Support vector machine models in drug design: applications to drug transport processes and QSAR using simplex optimisations and variable selection.
Ulf NorinderPublished in: Neurocomputing (2003)
Keyphrases
- drug design
- variable selection
- linear models
- drug discovery
- support vector machine
- protein structure prediction
- cross validation
- computational models
- model selection
- machine learning
- input variables
- protein sequences
- protein protein interactions
- probabilistic model
- biological systems
- neural network model
- feature selection