PATH gene embeddings in a graph transformer achieve 0.8766 F1 on pancancer metastasis prediction (8.8% over SOTA) and identify disease-state pathway rewiring.
FGFR inhibitors in urothelial cancer: From scientific rationale to clinical development.Journal of Korean Medical Science39, e320 (2024)
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Graph Transformer-Based Pathway Embedding for Cancer Prognosis
PATH gene embeddings in a graph transformer achieve 0.8766 F1 on pancancer metastasis prediction (8.8% over SOTA) and identify disease-state pathway rewiring.