Analysis of protein features and machine learning algorithms for prediction of druggable proteins.
Tanlin SunLuhua LaiJianfeng PeiPublished in: Quant. Biol. (2018)
Keyphrases
- machine learning algorithms
- machine learning models
- benchmark data sets
- subcellular localization
- input features
- machine learning
- machine learning approaches
- wet lab
- standard machine learning algorithms
- learning algorithm
- machine learning methods
- protein structure prediction
- predictive accuracy
- learning problems
- data sets
- decision trees
- random forests
- learning models
- amino acids
- protein secondary structure
- physicochemical properties
- protein structure
- classification accuracy
- protein interaction
- protein protein interactions
- protein complexes
- protein families
- contact map
- dna binding
- protein interaction data