The paper introduces stVCR, a generative deep-learning framework designed to reconstruct the continuous spatiotemporal dynamics of single cells from discrete snapshots. Because traditional spatial transcriptomics involves destructive sequencing, it typically produces unpaired "pictures" of biological processes rather than a continuous "video." To bridge this gap, stVCR utilizes dynamic optimal tra...去小宇宙查看完整单集简介
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