Protein secondary structure prediction based on fusion of machine learning classifiers.
Gabriel Bianchin de OliveiraHélio PedriniZanoni DiasPublished in: SAC (2021)
Keyphrases
- protein secondary structure prediction
- machine learning
- protein secondary structure
- machine learning algorithms
- classifier combination
- machine learning methods
- classifier fusion
- multiple classifier systems
- fusion methods
- feature selection
- fusion scheme
- training data
- machine learning approaches
- pattern recognition
- decision trees
- data fusion
- supervised classification
- support vector
- fusion strategies
- training set
- naive bayes
- svm classifier
- tertiary structure
- supervised learning
- learning algorithm
- inductive learning
- psi blast
- fusion method
- multiple features
- image fusion
- information fusion
- class labels
- training samples
- text classification
- natural language processing
- semi supervised