A Risk Stratification Model for Lung Cancer Based on Gene Coexpression Network and Deep Learning.
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ABSTRACT: Risk stratification model for lung cancer with gene expression profile is of great interest. Instead of previous models based on individual prognostic genes, we aimed to develop a novel system-level risk stratification model for lung adenocarcinoma based on gene coexpression network. Using multiple microarray, gene coexpression network analysis was performed to identify survival-related networks. A deep learning based risk stratification model was constructed with representative genes of these networks. The model was validated in two test sets. Survival analysis was performed using the output of the model to evaluate whether it could predict patients' survival independent of clinicopathological variables. Five networks were significantly associated with patients' survival. Considering prog
SUBMITTER: Choi H
PROVIDER: S-EPMC5822793 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
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