Trans-omics biomarker model improves prognostic prediction accuracy for early-stage lung adenocarcinoma

Limited studies have focused on developing prognostic models with trans-omics biomarkers for early-stage lung adenocarcinoma (LUAD). We performed integrative analysis of clinical information, DNA methylation, and gene expression data using 825 early-stage LUAD patients from 5 cohorts. Ranger algorit...

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Detalles Bibliográficos
Autores principales: Dong, Xuesi, Zhang, Ruyang, He, Jieyu, Lai, Linjing, Alolga, Raphael N., Shen, Sipeng, Zhu, Ying, You, Dongfang, Lin, Lijuan, Chen, Chao, Zhao, Yang, Duan, Weiwei, Su, Li, Shafer, Andrea, Salama, Moran, Fleischer, Thomas, Bjaanæs, Maria Moksnes, Karlsson, Anna, Planck, Maria, Wang, Rui, Staaf, Johan, Helland, Åslaug, Esteller, Manel, Wei, Yongyue, Chen, Feng, Christiani, David C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2019
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738411/
https://www.ncbi.nlm.nih.gov/pubmed/31434796
http://dx.doi.org/10.18632/aging.102189

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738411/
https://www.ncbi.nlm.nih.gov/pubmed/31434796
http://dx.doi.org/10.18632/aging.102189

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