Xi-Bei Yang

MV-MLCF: A Semi-Supervised Self-training Method for Peptide Function Prediction Based on Multi-View and Multi-Label Co-Forest.

The results show that the proposed MV MLCF method significantly improves prediction accuracy and outperforms comparison algorithms, highlighting its potential in accelerating peptide-based drug discovery and reducing experimental costs.