Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study.
Hongjian LiKwong-Sak LeungMan Hon WongPedro J. BallesterPublished in: BMC Bioinform. (2014)
Keyphrases
- random forest
- multiple linear regression
- scoring functions
- regression model
- software reliability
- scoring function
- feature set
- ensemble methods
- decision trees
- prediction accuracy
- input variables
- multi label
- pairwise
- ensemble classifier
- prediction model
- forecasting model
- similarity measure
- base classifiers
- linear regression
- text categorization
- text classification
- graphical models
- support vector machine
- knn