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

<div>Machine learning and construction of PPI network. (a) Further screening of DEGs by LASSO regression algorithm. (b) Further screening of DEGs by SVM-RFE algorithm. (c) Venn plot of intersection genes between LASSO regression algorithm and SVM-RFE algorithm. (d) PPI network of 11 key DEGs of periodontitis. (e) Bar plot of 11 key genes’ node degree in the PPI network.</div>

Disease Markers

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Figure 4: Identification of Endoplasmic Reticulum Stress-Related Biomarkers of Periodontitis Based on Machine Learning: A Bioinformatics Analysis 