Cooperative integration of spatially resolved multi-omics data with COSMOS.

Zhou, Yuansheng; Xiao, Xue; Dong, Lei; Tang, Chen; Xiao, Guanghua; Xu, Lin · Nat Commun · 2025

basic_science · Level V

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Abstract

Recent advancements in biological technologies have enabled the measurement of spatially resolved multi-omics data, yet computational algorithms for this purpose are scarce. Existing tools target either single omics or lack spatial integration. We generate a graph neural network algorithm named COSMOS to address this gap and demonstrated the superior performance of COSMOS in domain segmentation, visualization, and spatiotemporal map for spatially resolved multi-omics data integration tasks.