Identification of Endoplasmic Reticulum Stress-Related Biomarkers of Periodontitis Based on Machine Learning: A Bioinformatics Analysis

<div>Evaluation of the diagnostic efficacy of three potential biomarkers of periodontitis. (a) ROC curves of SERPINA1, ERLEC1, and VWF in the training set. (b) ROC curves of SERPINA1, ERLEC1, and VWF in the validation set. (c) Box plots of differential expression levels of SERPINA1, ERLEC1, and VWF in diseased and healthy periodontal samples of the validation set.</div>

Disease Markers

fig5

Figure 5

Figure 5: Identification of Endoplasmic Reticulum Stress-Related Biomarkers of Periodontitis Based on Machine Learning: A Bioinformatics Analysis 