Classification of protein 3D folds by hidden Markov learning on sequences of structural alphabets.
Shiou-Ling WangChung-Ming ChenMing-Jing HwangPublished in: APBC (2005)
Keyphrases
- learning process
- pattern recognition
- supervised learning
- machine learning
- learning phase
- feature extraction
- support vector
- classification accuracy
- sequence classification
- pattern classification
- learning algorithm
- rule learning
- learning tasks
- text classification
- image classification
- hidden markov models
- decision trees
- feature selection
- active learning
- sequence data
- protein protein interactions
- sequence alignment
- bayesian networks
- sequence similarity