Article

Discovery of novel six genes-based cervical cancer-associated biomarkers that are capable to break the heterogeneity barrier and applicable at the global level

2022-01-01

Abstract excerpt

Background: Although previous studies have identified the cervical cancer biomarkers by utilizing gene expression omnibus (GEO) expression datasets, they are limited in their application because of the heterogeneity-specific natures. Therefore, the present study was initiated to discover the GEO-based cervical cancer biomarkers that could employ over the heterogeneity barrier. Methods: Initially, the already repor...

Topics

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

Identifiers and source

Literature Corpus work: 93bf8f57-c6f7-5e02-be15-039ce590c9f8
DOI: 10.4103/jcrt.jcrt_1588_21

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Discovery of novel six genes-based cervical cancer-associated biomarkers that are capable to break the heterogeneity barrier and applicable at the global levelDOI 10.4103/jcrt.jcrt_1588_21Read

Identification of Hub Genes as Potential Prognostic Biomarkers in Cervical Cancer Using Comprehensive Bioinformatics Analysis and Validation StudiesSemantic proximity Read

Identification of druggable hub genes and key pathways associated with cervical cancer by protein-protein interaction analysis: An in silico studySemantic proximity Read

Screening of cervical cancer-related hub genes based on comprehensive bioinformatics analysisSemantic proximity Read

Identification of hub genes as potential diagnostic biomarkers for cervical cancer: A bioinformatic approachSemantic proximity Read

Determination of a six-gene prognostic model for cervical cancer based on WGCNA combined with LASSO and Cox-PH analysisSemantic proximity Read

In silico identification and interaction analysis of Hub Genes and miRNAs in Gynecological Cancer and their potential role as biomarkersSemantic proximity Read

Comprehensive gene and pathway analysis of cervical cancer progressionSemantic proximity Read

Identification of prognosis-related hub genes of ovarian cancer through bioinformatics analyses and experimental verificationSemantic proximity Read

Identification of Pathways and Genes Associated with Chemoradiotherapy in Locally Advanced Cervical CancerSemantic proximity Read

Identification of Key Genes and Pathways Associated with Chemotherapy and Radiotherapy Sensitivity in Locally Advanced Cervical CancerSemantic proximity Read

Identification of Key Genes and Pathways associated with Chemotherapy and Radiotherapy Sensitivity in Locally Advanced Cervical CancerSemantic proximity Read

Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.Semantic proximity Read