Explore three projects where biological insight meets rigorous bioinformatics
🧪 Decoding Tumor Blood Vessels in Liver Cancer
We analyzed liver tumor endothelial cells to uncover key molecular programs driving cancer growth and angiogenesis. Using advanced transcriptomic and network analysis, we identified distinct gene patterns and potential therapeutic targets, turning complex data into actionable insights.
Discover how our approach transforms high‑dimensional bioinformatics into clear strategies for innovation and treatment development.
📐 Unraveling Molecular Networks with Structured Equation Models
We leverage structured equation modeling to map cause-and-effect relationships across genes and proteins, integrating transcriptomic and proteomic data into a coherent framework. This approach lets us quantify complex regulatory interactions, identify key molecular drivers, and translate vast datasets into actionable biological insights.
With SEM, we turn multi-omics complexity into clear, data-driven strategies for research and therapeutic development.
🧠 Harnessing Public Databases for Multi-Omics Integration
We integrate transcriptomic, proteomic, and clinical data with publicly available databases to uncover hidden patterns and actionable insights. By combining diverse datasets, we enhance biological interpretation, identify novel molecular targets, and provide data-driven strategies for research and therapeutic development.
This approach turns complex, fragmented data into a unified, high-value resource for innovation.