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.

doi:10.1101/2023.04.26.538404

bioRxiv · 10.1101/2023.04.26.538404

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.

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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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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.. 2023-04-29. Integrated analysis of spatial multi-omics with SpatialGlue. https://doi.org/10.1101/2023.04.26.538404

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