Excited to share our latest #genomics work published in Nature Communications! A fundamental question in spatial multi-omics analysis is: how exactly do molecular features shape tissue architecture? Quantitative measurement of the relationship is helpful, but not sufficient—we also need to visualize it. As humans are naturally visual thinkers, seeing how tissue structure shifts with molecular activity can be more intuitive and insightful for many biologists than simply reviewing statistical abstractions like p-values.
To address these challenges, we developed MorphLink—an interpretable AI tool that visually bridges tissue morphology and molecular signals. By opening the “black box” of spatial biology, MorphLink uncovers and explains how tissue structure connects to molecular activity, enabling new biological insights. True to its name, MorphLink provides statistically robust and visually intuitive linkages between molecular and morphological changes.
Link to the Article
GitHub Page
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