Back to search

Article

Identification of novel potential biomarkers in hepatocarcinoma cancer; a transcriptome analysis

2021-03-02

Abstract excerpt

<h4>Objective: </h4> The goal of this study was to understand possible core genes associated with hepatocellular carcinoma (HCC) pathogenesis and prognosis. Methods GEO contains datasets of gene expression, miRNA and methylation patterns of diseased and healthy/control patients. GSE62232 Dataset was selected by employing the server Gene Expression Omnibus. A total of 91 samples were collected, including 81 HCC sa...

Topics

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

Identifiers and source

Literature Corpus work
d4bf0a17-3218-58b4-99d6-200f92baf97b
DOI
10.21203/rs.3.rs-154350/v3
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification of novel potential biomarkers in hepatocarcinoma cancer; a transcriptome analysisDOI 10.21203/rs.3.rs-154350/v3
Six Genes Involved in Prognosis of Hepatocellular Carcinoma Identified by Cox Hazard RegressionSemantic proximity
Identification of Key Genes and Prognostic Value Analysis in Hepatocellular Carcinoma by Integrated Bioinformatics AnalysisSemantic proximity
Deciphering the Molecular Complexity of Hepatocellular Carcinoma: Unveiling Novel Biomarkers and Therapeutic Targets Through Advanced Bioinformatics AnalysisSemantic proximity
Screening and Identification of Significant Genes in Hepatocellular Carcinoma via Bioinformatical Analysis and Validation in Clinical TissueSemantic proximity
Identification of Novel Biomarkers in Hepatocellular Carcinoma by Integrated Bioinformatical Analysis and Experimental ValidationSemantic proximity
Identification of most representative hub-genes for diagnosis, prognosis, and therapies of hepatocellular carcinomaSemantic proximity
Identification of Five Hub Genes as Key Prognostic Biomarkers in Liver Cancer via Integrated Bioinformatics AnalysisSemantic proximity
Bioinformatic Identification and Validation of Key Genes and Biological Pathways Involved in Hepatitis B Virus-related Hepatocellular CarcinomaSemantic proximity
Identifying Potential Prognostic Biomarkers Associated With Clinicopathologic Characteristics of Hepatocellular Carcinoma by Bioinformatics AnalysisSemantic proximity
Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysisSemantic proximity
Comprehensive Analysis of Gene Expression Changes and Validation in Hepatocellular CarcinomaSemantic proximity
Identification of hub genes and biological pathways in hepatocellular carcinoma by integrated bioinformatics analysisSemantic proximity
Select a neighboring publication to make it the new centre.