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Deciphering spatial heterogeneity by multimodal spatial transcriptomics modelling with SpatialModal
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DOI：10.1093/bioinformatics/btag540.png)
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Abstract
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Advances in spatial transcriptomics (ST) technologies have made it possible to jointly acquire gene expression and histological image information while preserving spatial coordinates. This breakthrough presents unprecedented opportunities for the precise dissection of spatial heterogeneity in complex tissues. However, existing computational methods remain limited in their capacity for effective integration and synergistic modelling of multimodal ST data.
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