Yifan Li

The paper introduces MTClass, a machine learning framework for eQTL identification that outperforms traditional methods by detecting more functionally relevant variants in the MHC region.

This paper introduces Diffusion-ACP39, a generative model for anticancer peptide discovery, achieving 94.5% accuracy in generating novel peptides.

ClsDiff-AMP30 generates short antimicrobial peptides with high antimicrobial activity and low toxicity through a classifier-guided diffusion model.