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

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 Expression Omn...

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Detalles Bibliográficos
Autores principales: Li, Yin, Ge, Di, Gu, Jie, Xu, Fengkai, Zhu, Qiaoliang, Lu, Chunlai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6729062/
https://www.ncbi.nlm.nih.gov/pubmed/31488089
http://dx.doi.org/10.1186/s12885-019-6101-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6729062/
https://www.ncbi.nlm.nih.gov/pubmed/31488089
http://dx.doi.org/10.1186/s12885-019-6101-7

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