A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies

A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies

Abstract Background Predicting lung adenocarcinoma (LUAD) risk is crucial in determining further treatment strategies. Molecular biomarkers may improve risk stratification for LUAD. Methods We analyzed the gene expression profiles of LUAD patients from The Cancer Genome Atlas (TCGA) and Gene Express...

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Bibliographic Details
Main Authors: Yin Li, Di Ge, Jie Gu, Fengkai Xu, Qiaoliang Zhu, Chunlai Lu
Format: Article
Language:English
Published: BMC 2019-09-01
Series:BMC Cancer
Subjects:
Lung adenocarcinoma
Prognosis prediction model
Machine learning
TCGA
GEO
Online Access:http://link.springer.com/article/10.1186/s12885-019-6101-7

Internet

http://link.springer.com/article/10.1186/s12885-019-6101-7

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