PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility.
Chao FanDiwei LiuRui HuangZhigang ChenLei DengPublished in: BMC Bioinform. (2016)
Keyphrases
- regression trees
- predicting protein
- secondary structure
- random forests
- computational methods
- regression model
- protein structure
- amino acid sequences
- decision trees
- protein sequences
- random forest
- linear model
- regression problems
- amino acids
- machine learning algorithms
- linear regression
- ensemble methods
- conditional random fields
- protein protein
- molecular biology
- protein structure prediction
- decision rules
- protein protein interactions
- microarray data
- learning algorithm
- neural network