ProLoc: Prediction of protein subnuclear localization using SVM with automatic selection from physicochemical composition features.
Wen-Lin HuangChun-Wei TungHui-Ling HuangShiow-Fen HwangShinn-Ying HoPublished in: Biosyst. (2007)
Keyphrases
- automatic selection
- feature vectors
- protein structure prediction
- svm classifier
- physicochemical properties
- support vector
- feature space
- feature set
- input features
- support vector machine svm
- amino acids
- protein families
- prediction accuracy
- selected features
- svm classification
- key features
- image features
- feature extraction
- drug design
- predicting protein
- remote homology detection
- structural features
- classification method
- kernel function
- support vector machine
- knn
- computational biology
- protein sequences
- feature subset
- contact map
- protein fold recognition
- protein secondary structure
- training set
- decision trees