This research evaluates the capacity of Graph Neural Networks (GNNs) to predict tissue phenotypes by analyzing the spatial organization and molecular profiles of cells. By modeling tissues as spatial graphs, the study demonstrates that while GNNs may not always outperform simpler models on small datasets, they successfully capture clinically relevant features and continuous biological trajectories...去小宇宙查看完整单集简介
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