CORAL: graph-attention generative model unifies multiscale spatial omics (Nature Genetics)

james_y_zou · x · 2026-11-07

CORAL (Cross-scale spatial Omics Registration and Analysis via graph Learning) is a probabilistic deep generative model published in Nature Genetics that leverages graph attention to integrate spatial transcriptomic, proteomic, metabolomic and epigenomic data across spatial scales, jointly modeling high-resolution low-coverage and low-resolution genome-wide datasets. It infers niches, cell-cell interactions and imputes missing modalities; applied to spatial transcriptomics + proteomics it identified cells linked to immunotherapy resistance in liver cancer. Paper and code are public.

Related event: Stanford's CORAL Model Integrates Multi-scale Spatial Omics, Published in Nature Genetics(4 posts)→

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