2022
DOI: 10.3389/fonc.2022.977992
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Identification of therapeutic targets and prognostic biomarkers in cholangiocarcinoma via WGCNA

Abstract: BackgroundCholangiocarcinoma (CCA) is a highly aggressive malignant tumor for which limited treatment methods and prognostic signatures are available. This study aims to identify potential therapeutic targets and prognostic biomarkers for CCA.MethodsBased on differentially expressed genes (DEGs) identified from The Cancer Genome Atlas (TCGA) data, our study identified key gene modules correlated with CCA patient survival by weighted gene coexpression network analysis (WGCNA). Cox regression analysis identified… Show more

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“…WGCNA and Expression-Based Transcriptome and Metabolome Correlation Analysis. The weighted gene coexpression network analysis (WGCNA) was performed using WGCNA package in R. 28 "Spearman" algorithm was used to set a threshold value of correlation coefficient for the differentially expressed genes and differential metabolites in selected module integration, and the OPLS-DA model was used to measure the role of differentially expressed genes in metabolic variation.…”
Section: Generation Of Uvhst2 Gene Deletion and Complementedmentioning
confidence: 99%
“…WGCNA and Expression-Based Transcriptome and Metabolome Correlation Analysis. The weighted gene coexpression network analysis (WGCNA) was performed using WGCNA package in R. 28 "Spearman" algorithm was used to set a threshold value of correlation coefficient for the differentially expressed genes and differential metabolites in selected module integration, and the OPLS-DA model was used to measure the role of differentially expressed genes in metabolic variation.…”
Section: Generation Of Uvhst2 Gene Deletion and Complementedmentioning
confidence: 99%