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

Prognostic genes of breast cancer revealed by gene co-expression network analysis

21 Aug 2017

Abstract excerpt

The aim of the present study was to identify genes that may serve as markers for breast cancer prognosis by constructing a gene co-expression network and mining modules associated with survival. Two gene expression datasets of breast cancer were downloaded from ArrayExpress and genes from these datasets with a coefficient of variation >0.5 were selected and underwent functional enrichment analysis with the...

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 Gene expression and cancer classification

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 29085450
DOI: 10.3892/ol.2017.6779

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Prognostic genes of breast cancer revealed by gene co-expression network analysisPMID 29085450Read ↗

Screening of the prognostic targets for breast cancer based co-expression modules analysisSemantic proximity Read ↗

Identification of New Key Genes in Breast Cancer by Co-expression Network AnalysisSemantic proximity Read ↗

Co-expression of key gene modules and pathways of human breast cancer cell linesSemantic proximity Read ↗

Identification of Prognostic Candidate Genes in Breast Cancer by Integrated Bioinformatic AnalysisSemantic proximity Read ↗

Weighted gene co-expression network analysis reveals modules and hub genes associated with the development of breast cancerSemantic proximity Read ↗

Identification of Potential Genes in Her2+ Breast Cancer by Co-expression Network AnalysisSemantic proximity Read ↗

Prognostic Genes of Breast Cancer Identified by Gene Co-expression Network AnalysisSemantic proximity Read ↗

Novel Genomic Biomarker Candidates for Cervical Cancer As Identified by Differential Co-Expression Network AnalysisSemantic proximity Read ↗

Gene co-expression network and functional module analysis of ovarian cancer.Semantic proximity Read ↗

Nomogram Models Based on Gene Expression in Prediction of Breast Cancer Bone MetastasisSemantic proximity Read ↗

Genome-wide screen identifies a novel prognostic signature for breast cancer survivalSemantic proximity Read ↗

Insights into Breast Cancer Prognosis: A Differential Regulatory Network Approach to Identify Key Transcription Factor BiomarkersSemantic proximity Read ↗

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