Novel Biomarkers Associated With Progression and Prognosis of Bladder Cancer Identified by Co-expression Analysis

Novel Biomarkers Associated With Progression and Prognosis of Bladder Cancer Identified by Co-expression Analysis

Our study's goal was to screen novel biomarkers that could accurately predict the progression and prognosis of bladder cancer (BC). Firstly, we used the Gene Expression Omnibus (GEO) dataset GSE37815 to screen differentially expressed genes (DEGs). Secondly, we used the DEGs to construct a co-e...

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Bibliographic Details
Main Authors: Yejinpeng Wang, Liang Chen, Lingao Ju, Kaiyu Qian, Xuefeng Liu, Xinghuan Wang, Yu Xiao
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Oncology
Subjects:
bladder cancer (BC)
gene-set enrichment analysis (GSEA)
protein-protein interaction (PPI)
weighted co-expression network analysis (WGCNA)
The Cancer Genome Atlas (TCGA) dataset
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2019.01030/full

Internet

https://www.frontiersin.org/article/10.3389/fonc.2019.01030/full

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