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Probing the rules of cell coordination in live tissues by interpretable machine learning based on graph neural networks
Author(s) -
Takaki Yamamoto,
Katie Cockburn,
Valentina Greco,
Kyogo Kawaguchi
Publication year - 2022
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1010477
Subject(s) - multicellular organism , computer science , robustness (evolution) , artificial intelligence , cell fate determination , cell , graph , live cell imaging , artificial neural network , machine learning , biology , theoretical computer science , gene , transcription factor , biochemistry , genetics

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