Protein-protein interaction sites prediction by ensembling SVM and sample-weighted random forests.
Zhisen WeiKe HanJing-Yu YangHong-Bin ShenDong-Jun YuPublished in: Neurocomputing (2016)
Keyphrases
- random forests
- protein protein interactions
- protein interaction
- predicting protein
- experimentally determined
- random forest
- support vector
- logistic regression
- prediction accuracy
- ensemble methods
- support vector machine svm
- decision trees
- computational methods
- machine learning algorithms
- multiple sequence alignments
- support vector machine
- network topology
- decision tree ensembles
- svm classifier
- functional modules
- high precision
- secondary structure
- machine learning
- feature selection
- training data
- ppi networks
- high throughput
- knn
- feature space
- protein complexes
- multi class
- protein sequences
- conformal prediction
- active learning
- biological data
- feature vectors
- protein interaction networks
- protein structure
- social network analysis
- learning algorithm