Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of potential key genes associated with glioblastoma based on the gene expression profile

22 Jun 2017

Abstract excerpt

Gliomas are serious primary brain tumors. The aim of the present study was to identify potential key genes associated with the progression of gliomas. The GSE31262 gene expression profile data, which included 9 glioblastoma stem cells (GSCs) samples and 5 neural stem cell samples from adult humans, were downloaded from Gene Expression Omnibus (GEO) database. limma package was used to identify differentially...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bioinformatics and Genomic Networks
Share to Ferroptosis and cancer prognosis
Share to Glioma Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 28789435
DOI: 10.3892/ol.2017.6460

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of potential key genes associated with glioblastoma based on the gene expression profilePMID 28789435Read ↗

Identification of the potential biomarkers in patients with glioma: a weighted gene co-expression network analysisSemantic proximity Read ↗

Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastomaSemantic proximity Read ↗

The identification of key genes and pathways in glioblastoma by bioinformatics analysisSemantic proximity Read ↗

Gene Expression Profiling of Glioblastoma to Recognize Potential Biomarker CandidatesSemantic proximity Read ↗

Identification of Potential Biomarkers in Glioblastoma through Bioinformatic Analysis and Evaluating Their Prognostic ValueSemantic proximity Read ↗

Identification of Core Biomarkers Associated with Outcome in Glioma: Evidence from Bioinformatics AnalysisSemantic proximity Read ↗

Construct ion of co - expression modules related to survival by WGCNA and identif ication of potential prognostic biomarkers in glioblastomaSemantic proximity Read ↗

Interplay of machine learning and bioinformatics approaches to identify genetic biomarkers that affect survival of patients with glioblastomaSemantic proximity Read ↗

Identification of novel genes associated with diagnosis and prognosis in glioblastomaSemantic proximity Read ↗

Identification of Potential Key Genes Associated with the Pathogenesis and Prognosis of Glioblastoma Based on Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Identification and Analysis of Molecular Pathways and Key Candidate Biomarkers in Glioblastoma MultiformeSemantic proximity Read ↗

Construction of co‐expression modules related to survival by WGCNA and identification of potential prognostic biomarkers in glioblastomaSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.