Article

STODE: A Deep Generative Framework for Continuous Spatiotemporal Dynamics in Spatial Transcriptomics

2025-11-26

Abstract excerpt

<h4>Motivation</h4> Spatial transcriptomics offers detailed molecular insights but struggles to capture continuous tissue dynamics due to experimental constraints and destructive sampling. Traditional optimal transport (OT) methods attempt to link time points but often rely on unimodal data and oversimplify complex developmental processes. We propose a spatiotemporal deep generative model that captures the contin...

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Literature Corpus work: c24c14bf-ba6e-5f50-bc8f-8b0d45b9ae14
DOI: 10.1101/2025.11.24.690134

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