Ziyu Liu

This paper designs bifunctional antimicrobial peptides using deep learning, discovering 16 peptides with both antibacterial and antiviral activity, including two validated against drug-resistant bacteria and viruses.

The paper introduces DEGAS, a transfer learning framework that maps clinical data to spatial transcriptomics in prostate cancer, identifying transcriptional signatures of carcinogenesis in morphologically normal tissues.