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

Abstract 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 (...

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Bibliographic Details
Main Authors: Shimei Qin, Shibin Sun, Yahui Wang, Chao Li, Lei Fu, Ming Wu, Jinxing Yan, Wan Li, Junjie Lv, Lina Chen
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-51108-x