Article
MPVNN: Mutated Pathway Visible Neural Network architecture for interpretable prediction of cancer-specific survival risk.
Bioinformatics (Oxford, England) - 15 Nov 2022
Ghosh Roy Gourab, Geard Nicholas, Verspoor Karin, He Shan
Abstract excerpt
MOTIVATION: Survival risk prediction using gene expression data is important in making treatment decisions in cancer. Standard neural network (NN) survival analysis models are black boxes with a lack of interpretability. More interpretable visible neural network architectures are designed using biological pathway knowledge. But they do not model how pathway structures can change for particular cancer types....
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