Support Vector Regression with Feature Selection for the Multivariate Calibration of Spectrofluorimetric Determination of Aromatic Amino Acids.
Guo-Zheng LiHao-Hua MengMary Qu YangJack Y. YangPublished in: BIBE (2007)
Keyphrases
- amino acids
- support vector regression
- support vector classification
- feature selection
- regression model
- support vector
- protein sequences
- support vector machine
- kernel learning
- secondary structure
- kernel function
- protein folding
- protein function
- response surface methodology
- support vector machine svm
- protein structure
- model selection
- feature space
- hybrid model
- protein structure prediction
- machine learning
- feature set
- amino acid sequences
- classification accuracy
- prediction model
- hybrid genetic
- feature extraction
- statistical tests
- text classification
- training set
- pattern recognition
- physicochemical properties
- learning algorithm
- computational biology
- data sets
- kernel methods
- nearest neighbor
- wavelet frame
- physico chemical