Article

Dynamic Landscape Analysis of Cell Fate Decisions: Predictive Models of Neural Development From Single-Cell Data

2025-05-28

Abstract excerpt

<h4>SUMMARY</h4> Building a mechanistic understanding of cell fate decisions remains a fundamental goal of developmental biology, with implications for stem cell therapies, regenerative medicine and understanding disease mechanisms. Single-cell transcriptomics provides a detailed picture of the cellular states observed during these decisions, but building dynamic and predictive models from these data remains a ch...

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Literature Corpus work: c869c076-0efc-5338-ba84-d04068c4f823
DOI: 10.1101/2025.05.28.656648

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