Investigation of molecular biomarker candidates for diagnosis and prognosis of chronic periodontitis by bioinformatics analysis of pooled microarray gene expression datasets in Gene Expression Omnibus (GEO)-Reference-Cited by-同舟云学术

Investigation of molecular biomarker candidates for diagnosis and prognosis of chronic periodontitis by bioinformatics analysis of pooled microarray gene expression datasets in Gene Expression Omnibus (GEO)

Published:2019-03-28 Issue:1 Volume:19 Page:
ISSN:1472-6831
Container-title:BMC Oral Health
language:en
Short-container-title:BMC Oral Health

Author:

Suzuki Asami^ORCID,Horie Tetsuro,Numabe Yukihiro

Publisher

Springer Science and Business Media LLC

Subject

General Dentistry

Link

http://link.springer.com/content/pdf/10.1186/s12903-019-0738-0.pdf

Reference34 articles.

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2. Hajishengallis G. Immunomicrobial pathogenesis of periodontitis: keystones, pathobionts, and host response. Trends Immunol. 2014;35:3–11.

3. Genco RJ, Borgnakke WS. Risk factors for periodontal disease. Periodontol 2000. 2013;62:59–94.

4. Xu Z, Zhou Y, Cao Y, Dinh TL, Wan J, Zhao M. Identification of candidate biomarkers and analysis of prognostic values in ovariancancer by integrated bioinformatics analysis. Med Oncol. 2016;33:130.

5. Guo X, Wang Y, Wang C, Chen J. Identification of several hub-genes associated with periodontitis using integratedmicroarray analysis. Mol Med Rep. 2015;11:2541–7.

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