Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence.

The model achieved a highly significant separation of the overall survival ( p < 10 −26 , c = 0.65 ± 0.02, Fig. 2 b), with distinct survival trajectories across the three clusters.

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