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

Integrated bioinformatics analysis to identify 15 hub genes in breast cancer

30 May 2019

Abstract excerpt

The aim of the present study was to identify the hub genes and provide insight into the tumorigenesis and development of breast cancer. To examine the hub genes in breast cancer, integrated bioinformatics analysis was performed. Gene expression profiles were obtained from the Gene Expression Omnibus (GEO) database and the differentially expressed genes (DEGs) were identified using the 'limma' package in R. Gene...

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 Cancer Genomics and Diagnostics
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 31423162
DOI: 10.3892/ol.2019.10411

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrated bioinformatics analysis to identify 15 hub genes in breast cancerPMID 31423162Read ↗

Integrated Analysis Revealed Hub Genes in Breast CancerSemantic proximity Read ↗

Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysisSemantic proximity Read ↗

Identification of Novel Hub Genes and Key Pathways Associated with Breast Cancer Through Various Classification ModelsSemantic proximity Read ↗

Identification of Hub Genes Associated with Breast Cancer Using Integrated Gene Expression Data with Protein-Protein Interaction NetworkSemantic proximity Read ↗

Identification of hub genes affecting triple-negative breast cancer using bioinformatics analysis strategiesSemantic proximity Read ↗

Identification of hub genes and important pathways in determination of breast cancer survival using bioinformatics approachesSemantic proximity Read ↗

Identification of Seven Hub Genes as the Novel Biomarkers in Triple-negative Breast Cancer and Breast Cancer MetastasisSemantic proximity Read ↗

Identification of hub genes to regulate breast cancer metastasis to brain by bioinformatics analysesSemantic proximity Read ↗

Identification of Hub Genes Associated With Progression and Prognosis in Patients With Bladder CancerSemantic proximity Read ↗

Screening of potential hub genes and key pathways associated with breast cancer by bioinformatics tools.Semantic proximity Read ↗

Identification of candidate biomarkers correlated with poor prognosis of breast cancer based on bioinformatics analysisSemantic proximity Read ↗

Hub genes associated with immune cell infiltration in breast cancer, identified through bioinformatic analyses of multiple datasetsSemantic proximity Read ↗

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