Research Article
Identification of Endoplasmic Reticulum Stress-Related Biomarkers of Periodontitis Based on Machine Learning: A Bioinformatics Analysis
Table 1
Detailed information of the datasets used for analysis.
| GEO accession ID | GSE10334 | GES16134 | GSE23586 |
| Platform | GPL570 | GPL570 | GPL570 | Affymetrix Human Genome U133 Plus 2.0 Array | Affymetrix Human Genome U133 Plus 2.0 Array | Affymetrix Human Genome U133 Plus 2.0 Array | Participants | 90 | 120 | 3 | Systemically healthy | Yes | Yes | Yes | Smoking | No | No | No | Samples | 247 | 310 | 6 | Case (diseased) | 183 | 241 | 3 | BOP (+), mm, and | BOP (+), mm, and | BOP (+), , mm, and | Control (healthy) | 64 | 69 | 3 | BOP (-), mm, and | BOP (-), mm, and | No gingival inflammation, mm, and no CAL | Country | USA | USA | Japan | Authors | Demmer et al. | Demmer et al. | Kubota et al. |
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BOP: bleeding on probing; PPD: probing pocket depth; CAL: clinical attachment loss; GI: gingival index.
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