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 Core Biomarkers Associated with Outcome in Glioma: Evidence from Bioinformatics Analysis

10 Oct 2018

Abstract excerpt

Glioma is the most common neoplasm of the central nervous system (CNS); the progression and outcomes of which are affected by a complicated network of genes and pathways. We chose a gene expression profile of GSE66354 from GEO database to search core biomarkers during the occurrence and development of glioma. A total of 149 samples, involving 136 glioma and 13 normal brain tissues, were enrolled in this article....

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: 30405856
DOI: 10.1155/2018/3215958

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of Core Biomarkers Associated with Outcome in Glioma: Evidence from Bioinformatics AnalysisPMID 30405856Read ↗

Identification of Core Genes and Screening of Potential Targets in Glioblastoma Multiforme by Integrated Bioinformatic AnalysisSemantic proximity Read ↗

Identification of Key Genes and Signaling Pathways Associated with the Progression of Glioblastoma multiformSemantic proximity Read ↗

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 ↗

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

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

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

Hub biomarkers for the diagnosis and treatment of glioblastoma based on microarray technologySemantic proximity Read ↗

Identification of potential key genes associated with glioblastoma based on the gene expression profileSemantic proximity Read ↗

Bioinformatics screening of biomarkers related to gliomaSemantic proximity Read ↗

In-Depth Summary of Intersected Hub-Genes Between Low-Grade and High-Grade Gliomas, from Bioinformatics and Literature ReportsSemantic proximity Read ↗

Identification of hub genes related to prognosis in glioma.Semantic proximity Read ↗

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