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).

Suzuki A, Horie T, Numabe Y

Open source

DOI
10.1186/s12903-019-0738-0
Published
2019 Mar 28
Container
BMC oral health
Publisher
Not recorded
Open access
yes

Credibility signals

serious concern Score 18/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1186/s12903-019-0738-0,
  title = {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).},
  author = {Suzuki A and Horie T and Numabe Y},
  year = {2019},
  journal = {BMC oral health},
  doi = {10.1186/s12903-019-0738-0},
  url = {https://doi.org/10.1186/s12903-019-0738-0}
}

RIS

TY  - JOUR
TI  - 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).
AU  - Suzuki A
AU  - Horie T
AU  - Numabe Y
PY  - 2019
JO  - BMC oral health
DO  - 10.1186/s12903-019-0738-0
UR  - https://doi.org/10.1186/s12903-019-0738-0
ER  - 

APA

A, S., T, H., & Y, N. (2019). 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).. BMC oral health. https://doi.org/10.1186/s12903-019-0738-0

Source records