Parallel Session [T5-07A]

[T5-07A-03] Probing the rules of cell coordination in live tissues by interpretable machine learning based on graph neural networks

*Takaki Yamamoto¹, Katie Cockburn^2,3, Valentina Greco^2,4, Kyogo Kawaguchi^1,5,6 (1. Nonequilibrium Physics of Living Matter RIKEN Hakubi Research Team, RIKEN Center for Biosystems Dynamics Research, Japan, 2. Department of Genetics, Yale School of Medicine, USA, 3. Department of Biochemistry and Rosalind & Morris Goodman Cancer Institute, McGill University, Canada, 4. Departments of Cell Biology and Dermatology, Yale Stem Cell Center, Yale Cancer Center, Yale School of Medicine, USA, 5. RIKEN Cluster for Pioneering Research, Japan, 6. Universal Biology Institute, The University of Tokyo, Japan)

Keywords:tissue dynamics, graph neural network, machine learning, cell-to-cell interaction