MultiCell: geometric learning in multicellular development | Nature Methods (opens in new tab)

During developmental processes such as embryogenesis, how a group of cells self-organizes into specific structures is a central question in biology. However, it remains a major challenge to understand and predict the behavior of every cell within the living tissue over time during such intricate processes. Here we present MultiCell, a geometric deep learning method that can accurately capture the highly convoluted interactions among cells. We demonstrate that multicellular data can be represe...