Article
EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways.
Nature methods - 1 Jun 2023
Čapek Daniel, Safroshkin Matvey, Morales-Navarrete Hernán, Toulany Nikan, Arutyunov Grigory, Kurzbach Anica, Bihler Johanna, Hagauer Julia, Kick Sebastian, Jones Felicity, Jordan Ben, Müller Patrick
Abstract excerpt
Evolutionarily conserved signaling pathways are essential for early embryogenesis, and reducing or abolishing their activity leads to characteristic developmental defects. Classification of phenotypic defects can identify the underlying signaling mechanisms, but this requires expert knowledge and the classification schemes have not been standardized. Here we use a machine learning approach for automated...
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