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

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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Bibliographic Details
Main Authors:	Yutao Wang, Jiaxing Lin, Kexin Yan, Jianfeng Wang
Format:	Article
Language:	English
Published:	Wiley 2020-01-01
Series:	International Journal of Genomics
Online Access:	http://dx.doi.org/10.1155/2020/1097602
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