Ranking near-native candidate protein structures via random forest classification.
Hongjie WuHongmei HuangWeizhong LuQiming FuYijie DingJing QiuHaiou LiPublished in: BMC Bioinform. (2019)
Keyphrases
- random forest
- protein structure
- decision trees
- fold cross validation
- feature importance
- feature set
- feature ranking
- random forests
- nuclear magnetic resonance
- nmr spectra
- ensemble classifier
- ensemble methods
- classification accuracy
- decision tree learning algorithms
- multi label
- text classification
- support vector machine
- protein sequences
- classification models
- base classifiers
- feature vectors
- machine learning
- feature selection
- ensemble learning
- machine learning methods
- class labels
- benchmark datasets
- image classification
- cost sensitive
- active learning
- feature extraction