A Feature Selection Algorithm Based on Graph Theory and Random Forests for Protein Secondary Structure Prediction.
Gulsah AltunHae-Jin HuStefan GremalschiRobert W. HarrisonYi PanPublished in: ISBRA (2007)
Keyphrases
- random forests
- graph theory
- protein secondary structure prediction
- protein secondary structure
- random forest
- machine learning algorithms
- decision trees
- machine learning
- logistic regression
- ensemble methods
- graph theoretical
- social network analysis
- complex networks
- tree ensembles
- graph based representations
- regression forests
- decision tree ensembles
- combinatorial optimization
- neural network
- data sets
- maximal cliques
- prediction accuracy
- text categorization
- randomized trees
- feature set
- multi class
- pairwise
- feature selection