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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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| Pubblicato in: | BMC Cancer |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6729062/ https://ncbi.nlm.nih.gov/pubmed/31488089 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12885-019-6101-7 |
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