Integrated analysis of spatial multi-omics with SpatialGlue
Long, Y.; Ang, K. S.; Liao, S.; Sethi, R.; Heng, Y.; Zhong, C.; Xu, H.; Husna, N.; Jian, M.; Ng, L. G.; Chen, A.; Gascoigne, N. R.; Xu, X.; Chen, J.
Show abstract
Integration of multiple data modalities in a spatially informed manner remains an unmet need for exploiting spatial multi-omics data. We introduce SpatialGlue, a graph neural network with dual-attention mechanism, to learn each modalitys significance at cross-omics and intra-omics integration. We demonstrate that SpatialGlue can accurately aggregate cell types into spatial domains at a higher resolution on different tissue types and technology platforms, as well as gain insights into cross-modality spatial correlations.
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