A novel hierarchical selective ensemble classifier with bioinformatics application

Highlights • Feature selection is based on parallel optimization and hierarchical selection. • Maximize the sum of relevance and distance solves problem of high dimensionality. • A multi-class problem can be transformed into a binary classification problem. • Ensemble combination method based on divide-and-conquer strategy is efficient. • Solving bioinformatics problems with high-level performance can be achieved.