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.
J.et al.Visualizing and interpreting cancer genomics data via the Xena platform.Nature Biotechnology38, 675–678 (2020)
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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.