One of the group’s major works was submitted. Here, we introduce a graph- and omics-based disease model, LiverDCP, an HGNN framework that integrates single-cell multi-omics, protein interaction networks, and structural biology to learn disease- and cell-contextualized protein representations. The framework connects systems-level disease biology with genetic risk and therapeutic target discovery, opening new opportunities for understanding liver diseases and identifying potential drug targets. Read more here.

Congratulations to the team on reaching this milestone! 🎉