829-SMART: Spatial Multi-omic Aggregation
The paper introduces SMART, an unsupervised deep learning framework designed to integrate spatial multi-omics data into a unified representation. By combining graph neural networks with metric learning, the model effectively captures both local spatial contexts and long-distance biological similarities across various omics layers. The researchers developed a variant called SMART-MS to align data across multiple tissue sections while correcting for batch effects. Benchmarking demonstrates that SMART offers superior computational efficiency, scalability, and accuracy in identifying anatomical…
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