Identification of 13 Key Genes Correlated With Progression and Prognosis in Hepatocellular Carcinoma by Weighted Gene Co-expression Network Analysis

Identification of 13 Key Genes Correlated With Progression and Prognosis in Hepatocellular Carcinoma by Weighted Gene Co-expression Network Analysis

Hepatocellular carcinoma (HCC) remains hard to diagnose early and cure due to a lack of accurate biomarkers and effective treatments. Hence, it is necessary to explore the tumorigenesis and tumor progression of HCC to discover new biomarkers for clinical treatment. We performed weighted gene co-expr...

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Bibliographic Details
Main Authors: Yang Gu, Jun Li, Deliang Guo, Baiyang Chen, Pengpeng Liu, Yusha Xiao, Kang Yang, Zhisu Liu, Quanyan Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-02-01
Series:Frontiers in Genetics
Subjects:
quantitative real-time PCR
bioinformatics
weighted gene co-expression network analyses
hepatocellular carcinoma
biomarker
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00153/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2020.00153/full

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