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

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.

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC11696235 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature