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Deciphering spatial domains from spatial multi-omics with SpatialGlue

ABSTRACT: Integration of multiple data modalities in a spatially informed manner remains an unmet need for exploiting spatial multi-omics data. Here, we introduce SpatialGlue, a novel graph neural network with dual-attention mechanism, to decipher spatial domains by intra-omics integration of spatial location and omics measurement followed by cross-omics integration. We demonstrate that SpatialGlue can more accurately resolve spatial domains at a higher resolution across different tissue types and technology platforms, to enable biological insights into cross-modality spatial correlations.

ORGANISM(S): Homo sapiens

PROVIDER: GSE263617 | GEO | 2024/06/07

REPOSITORIES: GEO

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