The paper introduces Multi-Embed, a new computational framework designed to bridge the gap between physical disease structures and complex molecular data. While traditional methods often struggle with transparency or limited data scales, this self-supervised learning tool creates a shared digital space to align tissue images with genetic and protein profiles. By utilizing an auto-encoder architect...去小宇宙查看完整单集简介
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