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GraphPath: A graph attention model for molecular stratification with interpretability based on the pathway-pathway interaction network
By LEGE 30 days ago
https://github.com/amazingma/GraphPath
Achieving accurate and interpretable clinical predictions requires paramount attention to thoroughly characterizing patients at both the molecular and biological pathway levels. In this paper, we present GraphPath, a biological knowledge-driven graph neural network with multi-head self-attention mechanism that implements the pathway-pathway interaction network. We train GraphPath to classify the cancer status of patients with prostate cancer based on their multi-omics profiling.
