259-STORIES: Spatial Trajectory Inference

The paper introduces STORIES (SpatioTemporal Omics eneRgIES), a novel computational method for inferring cell fate trajectories from time-series spatial transcriptomics data, which captures gene expression within a tissue's physical context. STORIES is built upon an extension of Optimal Transport theory called Fused Gromov–Wasserstein (FGW) to learn a spatially informed differentiation potential, ...去小宇宙查看完整单集简介
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