SEHI-PPI: An End-to-End Sampling-Enhanced Human-Influenza Protein-Protein Interaction Prediction Framework with Double-View Learning
Qiang Yang, Xiao Fan, Haiqing Zhao, Zhe Ma, Megan Lynn Stanifer, Jiang Bian, Marco Salemi, Rui Yin
SEHI-PPI predicts human-influenza protein-protein interactions using a double-view deep learning framework with adaptive negative sampling, outperforming existing methods and demonstrating strong generalizability.
bioRxiv · Mar 7, 2025 · PreprintBioinformatics