Article

Identification and Validation of the Hub Genes in Gastric Cancer Through Weighted Gene Co-Expression Network Analysis

2020-06-15

Abstract excerpt

<h4>Background: </h4> Gastric cancer is one of the most lethal tumors and is characterized by poor prognosis and lack of effective diagnostic or therapeutic biomarkers. The aim of this study was to find hub genes serving as biomarkers in gastric cancer diagnosis and therapy. <h4>Methods: </h4>: GSE66229 from Gene Expression Omnibus (GEO) was used as training set. Genes bearing the top 25% standard deviations among...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8d4ea8cc-0298-5623-81df-b971a5ccadb7
DOI: 10.21203/rs.3.rs-34166/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identification and Validation of the Hub Genes in Gastric Cancer Through Weighted Gene Co-Expression Network AnalysisDOI 10.21203/rs.3.rs-34166/v1Read

Weighted Gene Co-expression Network Analysis Reveals ALDH1B1 As a Prognositc Biomarker Involved in Gastric Cancer DevelopmentSemantic proximity Read

Mining of Gene Modules and Identification of Key Genes for early diagnosis of gastric cancerSemantic proximity Read

ACAN, MDFI, and CHST1 as Candidate Genes in Gastric Cancer: A Comprehensive Insilco AnalysisSemantic proximity Read

Identification of hub genes and construction of an mRNA-miRNA-lncRNA network of gastric carcinoma using integrated bioinformatics analysis.Semantic proximity Read

Candidate genes in gastric cancer identified by constructing a weighted gene co-expression networkSemantic proximity Read

Weighted correlation network analysis identifies FN1, COL1A1 and SERPINE1 associated with the progression and prognosis of gastric cancerSemantic proximity Read

Identification of Hub Genes Associated with the Progression and Prognosis of Gastric Cancer through Systematic Bioinformatics AnalysisSemantic proximity Read

EXPRESSION INSIGHTS INTO GASTRIC ADENOCARCINOMA: NETWORK ANALYSIS REVEALS KEY HUB GENES AND FUNCTIONAL MODULESSemantic proximity Read

Functional Modules Analysis and Hub Gene Prognostic Values Evaluation Based on Co-Expression Network in Gastric CancerSemantic proximity Read

Identification of early diagnostic biomarkers via WGCNA in gastric cancerSemantic proximity Read

Weighted gene co-expression network analysis identifies potential candidate biomarkers for adenocarcinoma of the esophagogastric junctionSemantic proximity Read

Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysisSemantic proximity Read