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Probing the rules of cell coordination in live tissues by interpretable machine learning based on graph neural networks
Robustness in developing and homeostatic tissues is supported by various types of spatiotemporal cell-to-cell interactions. Although live imaging and cell tracking are powerful in providing direct evidence of cell coordination rules, extracting and comparing these rules across many tissues with pote...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481156/ https://www.ncbi.nlm.nih.gov/pubmed/36067226 http://dx.doi.org/10.1371/journal.pcbi.1010477 |