Junping Wang

scPAISO identifies and quantifies alternative polyadenylation sites in scRNA-seq data using Read1, improving PAS detection and isoform quantification accuracy.

CLOP-DiT generates synthetic single-cell gene expression profiles from structured biological metadata using contrastive alignment and diffusion models, achieving high steering accuracy but limited cross-dataset variability.

This study introduces scRL, a reinforcement learning method for assessing cell fate decisions in single-cell data, showing superior performance compared to existing techniques.

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.