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

Experimental validation of 5 in-silico predicted glioma biomarkers

24 Oct 2013

Abstract excerpt

BACKGROUND: Glioblastoma multiforme (GBM) is a high-grade glioma with poor prognosis. Identification of new biomarkers specific to GBM could help in disease diagnosis. We have developed and validated a bioinformatics method to predict proteins likely to be suitable as glioma biomarkers via a global microarray meta-analysis to identify uncharacterized genes consistently coexpressed with known glioma-associated...

Read the complete abstract on PubMed

Topics

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

Share to Gene expression and cancer classification
Share to Glioma Diagnosis and Treatment
Share to Microtubule and mitosis dynamics

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 24158112
DOI: 10.1093/neuonc/not124

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 9 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Experimental validation of 5 in-silico predicted glioma biomarkersPMID 24158112Read ↗

Identification of Hypoxia Prognostic Signature in Glioblastoma Multiforme Based on Bulk and Single-Cell RNA-SeqSemantic proximity Read ↗

Identification of Candidate Genes Associated With Prognosis in GlioblastomaSemantic proximity Read ↗

DNA Methylation-based Diagnostic and Prognostic Biomarkers for GlioblastomaSemantic proximity Read ↗

Identification of Novel Transcriptome Signature as a Potential Prognostic Biomarker for Anti-Angiogenic Therapy in Glioblastoma MultiformeSemantic proximity Read ↗

Integrated Analysis to Evaluate the Prognostic Value of Signature mRNAs in Glioblastoma MultiformeSemantic proximity Read ↗

Identification of novel prognostic targets in glioblastoma using bioinformatics analysisSemantic proximity Read ↗

Computational genomics of brain tumors: identification and characterization of glioma candidate biomarkers through multi-omics integrative molecular profilingSemantic proximity Read ↗

Prognostic value and drug sensitivity of FBXL6 in gliomaSemantic proximity Read ↗

Integrative Bioinformatics Analysis Unveils Neuro-cancer Crosstalk- related Genes and Establishes Prognostic Risk Model in GlioblastomaSemantic proximity Read ↗

A SEMA3 Signaling Pathway-Based Multi-Biomarker for Prediction of Glioma Patient Survival.Semantic proximity Read ↗

Identification of new targets for glioblastoma therapy based on a DNA expression microarraySemantic proximity Read ↗

Identification of Biomarkers Related to Prognosis of Glioblastoma and Their Correlation with Immune Infiltration CellsSemantic proximity Read ↗

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