Guang Yang

STAG: Biologically guided spatial transcriptomics prediction via hypergraph learning

STAG is proposed, a dual-branch framework for gene-aware expression prediction and spatial context modeling that leverages gene semantic information as biological guidance by encoding gene names with a foundation model, enabling coordinated gene-aware interactions beyond independent gene prediction.