This demonstrates that CoFormerSurv, with collaborative Transformer architecture, and FGCNSurv, with dually fused graph convolutional network, can fully leverage the complementary information across different omics data, thereby efficiently identifying high- and low-risk patient groups with highly significant survival differences.
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CoFormerSurv: Collaborative transformer for multi-omics survival analysis.
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