Article

SpatialFormer: Universal Spatial Representation Learning from Subcellular Molecular to Multicellular Landscapes

2025-01-22

Abstract excerpt

Spatial transcriptomics quantifies gene expression within its spatial context, significantly advancing biomedical research. Understanding gene spatial expression and the organization of multicellular systems is vital for disease diagnosis and studying biological processes. However, existing models often struggle to integrate gene expression data with cellular spatial information effectively. In this study, we intr...

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Literature Corpus work: 682b7f51-c71d-55d4-a7a4-73a05910e24a
DOI: 10.1101/2025.01.18.633701

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