Baiming Chen

DuplexFM uses miRNA interaction data to predict siRNA efficacy by integrating multiple evidence sources and transfer learning, achieving high accuracy across multiple test sets.

This paper predicts functional miRNA-target interactions using disease association features, achieving high accuracy without relying on experimental data.

The paper refines miRNA target interactions using disease similarity features and Sentence-BERT, achieving high accuracy in distinguishing validated from predicted interactions.