Cooperative integration of spatially resolved multi-omics data with COSMOS

作者：Yuansheng Zhou, Xue Xiao, Lei Dong, Chen Tang, Guanghua Xiao, Lin Xu · 发表于：Nature Communications · 年份：2025 · DOI：10.1038/s41467-024-55204-y · 被引用次数：47 · 研究领域：Medicine

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. Recent advancements in biological technologies have enabled the measurement of spatially resolved multi-omics data. Here, the authors present COSMOS and demonstrate its superior performance compared to existing methods for integrating spatially resolved multi-omics data.