Identification of a Robust Five-Gene Risk Model in Prostate Cancer: A Robust Likelihood-Based Survival Analysis

AIM: In this paper, we aimed to develop and validate a risk prediction method using independent prognosis genes selected robustly in prostate cancer. METHOD: We considered 723 samples obtained from TCGA (the Cancer Genome Atlas), GSE46602, and GSE21032. Prostate cancer prognosis-related genes with P...

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Detalles Bibliográficos
Autores principales: Wang, Yutao, Lin, Jiaxing, Yan, Kexin, Wang, Jianfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285394/
https://www.ncbi.nlm.nih.gov/pubmed/32566639
http://dx.doi.org/10.1155/2020/1097602

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285394/
https://www.ncbi.nlm.nih.gov/pubmed/32566639
http://dx.doi.org/10.1155/2020/1097602

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