Novel Model for Comprehensive Assessment of Robust Prognostic Gene Signature in Ovarian Cancer Across Different Independent Datasets

Novel Model for Comprehensive Assessment of Robust Prognostic Gene Signature in Ovarian Cancer Across Different Independent Datasets

Different analytical methods or models can often find completely different prognostic biomarkers for the same cancer. In the study of prognostic molecular biomarkers of ovarian cancer (OvCa), different studies have reported a variety of prognostic gene signatures. In the current study, based on geom...

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Bibliographic Details
Main Authors: Zhitong Bing, Yuxiang Yao, Jie Xiong, Jinhui Tian, Xiangqian Guo, Xiuxia Li, Jingyun Zhang, Xiue Shi, Yanying Zhang, Kehu Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Genetics
Subjects:
ovarian cancer
prognosis index
Cox regression
gene signature
robust prognostic model
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00931/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.00931/full

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