Information entropy-based differential evolution with extremely randomized trees and LightGBM for protein structural class prediction

Keyphrases

• 10-fold Cross Validation 33%
• Amino Acid Sequence 33%
• Benchmark Dataset 33%
• Biological Applications 33%
• Chemical Properties 33%
• Class-based 33%
• Conformation Prediction 33%
• Decision Tree Model 33%
• Differential Evolution 100%
• Entropy-based 100%
• Evolutionary Information 33%
• Extremely Randomized Trees 100%
• Feature Selection Methods 33%
• Folding Analysis 33%
• Function Analysis 33%
• Genetic Engineering 33%
• Global Descriptors 33%
• Gradient Boosting Decision Tree 33%
• Growth Rate 33%
• High-precision Prediction 33%
• Information Entropy 100%
• Large-scale Features 33%
• LightGBM 100%
• Low-similarity 33%
• Prediction Model 33%
• Property Descriptor 33%
• Protein Classes 33%
• Protein Engineering 33%
• Protein Folding 33%
• Protein Structural Class 33%
• Protein Structural Class Prediction 100%
• Protein Tertiary Structure 66%
• Result Prediction 33%
• Secondary Structure 33%
• Super Large-scale 33%
• Tertiary Structure 100%

Biochemistry, Genetics and Molecular Biology

• Conformation 33%
• Decision Trees 33%
• Evolution 33%
• Feature Extraction 33%
• Genetics 33%
• Peptide Sequence 100%
• Protein Characterization 33%
• Protein Engineering 33%
• Protein Folding 33%
• Protein Secondary Structure 33%
• Protein Tertiary Structure 66%
• Structural Protein 100%
• Tertiary Structure 100%