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 breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis

27 Oct 2017

Abstract excerpt

BACKGROUND: Breast cancer (BC) is the second most common cause of death from cancer in women in the United States. As the molecular mechanism of BC has not yet been completely discovered, identification of hub genes and pathways of this disease is of importance for revealing molecular mechanism of breast cancer initiation and progression. OBJECTIVE: This study aimed to identify potential biomarkers and survival...

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 Breast Cancer Treatment Studies
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 29081411
DOI: 10.3233/cbm-170550

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 breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysisPMID 29081411Read ↗

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

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

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

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

Integrated bioinformatics analysis to identify 15 hub genes in breast cancerSemantic proximity Read ↗

Integrated Analysis Revealed Hub Genes in Breast CancerSemantic proximity Read ↗

Identification of hub genes to regulate breast cancer metastasis to brain by bioinformatics analysesSemantic 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 Poorer Prognosis of Breast Cancer via Bioinformatics MethodSemantic proximity Read ↗

Demystifying the role of prognostic biomarkers in breast cancer through integrated transcriptome and pathway enrichment analysesSemantic proximity Read ↗

Screening and verification of potential gene targets in the metastasis of breast cancer by bioinformatics analysis and immunohistochemistrySemantic proximity Read ↗

Demystifying the Role of Prognostic Biomarkers in Breast Cancer through Integrated Transcriptome and Pathway Enrichment AnalysesSemantic proximity Read ↗

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