Analysis of long non-coding RNAs in glioblastoma for prognosis prediction using weighted gene co-expression network analysis, Cox regression, and L1-LASSO penalization

PURPOSE: This study focused on identification of long non-coding RNAs (lncRNAs) for prognosis prediction of glioblastoma (GBM) through weighted gene co-expression network analysis (WGCNA) and L1-penalized least absolute shrinkage and selection operator (LASSO) Cox proportional hazards (PH) model. MA...

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Detalles Bibliográficos
Autores principales: Liang, Ruqing, Zhi, Yaqin, Zheng, Guizhi, Zhang, Bin, Zhu, Hua, Wang, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306053/
https://www.ncbi.nlm.nih.gov/pubmed/30613154
http://dx.doi.org/10.2147/OTT.S171957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306053/
https://www.ncbi.nlm.nih.gov/pubmed/30613154
http://dx.doi.org/10.2147/OTT.S171957

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