Prediction of Intrinsically Disordered Proteins Using Machine Learning Algorithms Based on Fuzzy Entropy Feature.
Lin ZhangHaiyuan LiuHao HePublished in: Algorithms (2021)
Keyphrases
- machine learning algorithms
- fuzzy entropy
- experimentally determined
- input features
- benchmark data sets
- intrinsically disordered
- machine learning
- learning algorithm
- amino acids
- protein sequences
- machine learning methods
- protein structure
- decision trees
- amino acid sequences
- fuzzy sets
- drug design
- membership functions
- protein structure prediction
- protein function
- disordered regions
- standard machine learning algorithms
- prediction accuracy
- machine learning models
- machine learning approaches
- protein interaction
- predicting protein
- decision making
- statistical machine learning
- protein complexes
- predictive model
- protein protein interactions
- prediction model