An improved sequence-based prediction protocol for protein-protein interactions using amino acids substitution matrix and rotation forest ensemble classifiers.
Zhu-Hong YouXiao LiKeith C. C. ChanPublished in: Neurocomputing (2017)
Keyphrases
- ensemble classifier
- rotation forest
- protein protein interactions
- experimentally determined
- amino acids
- protein function
- ensemble methods
- random forest
- protein sequences
- prediction accuracy
- protein protein
- protein interaction
- ensemble learning
- high throughput
- amino acid sequences
- computational methods
- protein structure
- gene ontology
- concept drift
- protein structure prediction
- fusion method
- decision trees
- biological data
- secondary structure
- base classifiers
- subspace methods
- network topology
- classification models
- protein complexes
- feature selection
- preprocessing step
- support vector machine
- network analysis
- benchmark datasets
- feature set
- feature extraction
- data sets
- protein interaction networks
- machine learning methods
- high precision
- feature space
- learning algorithm