Yingying Yu

DisenTE improves translation-efficiency matrix completion by modeling sparse sequence-context patterns, achieving higher accuracy than existing methods.

This paper introduces PHAT, a deep graph learning framework for peptide secondary structure prediction, achieving better accuracy and interpretability for short peptides.