Identification and Verification of Novel Biomarkers Involving Rheumatoid Arthritis with Multimachine Learning Algorithms: An In Silicon and In Vivo Study

Figure 3

Identification and verification of RA-related signatures. (a) LASSO, (b) SVM–RFE, (c) RF, and (d) XGBoost algorithms were applied to identify RA-related biomarkers based on DEGs in the discovery cohort. (e) Intersections of features from the four machine learning algorithms in the discovery cohort. (f, g) ROC curves were used to evaluate the specificity and sensitivity of the four intersection signatures to distinguish RA and normal tissues in the discovery and validation cohorts.

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