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Immune, metabolic landscapes of prognostic signatures for lung adenocarcinoma based on a novel deep learning framework

4 Jan 2024

Abstract excerpt

Lung adenocarcinoma (LUAD) is a malignant tumor with high lethality, and the aim of this study was to identify promising biomarkers for LUAD. Using the TCGA-LUAD dataset as a discovery cohort, a novel joint framework VAEjMLP based on variational autoencoder (VAE) and multilayer perceptron (MLP) was proposed. And the Shapley Additive Explanations (SHAP) method was introduced to evaluate the contribution of feature...

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PMID: 38177198
DOI: 10.1038/s41598-023-51108-x

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