Research Paper Volume 16, Issue 17 pp 12191—12208
Aging-related biomarkers for the diagnosis of Parkinson’s disease based on bioinformatics analysis and machine learning
Figure 3. Verification of the identified potential diagnostic biomarkers. (A) Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis identified four potential diagnostic biomarkers (p-value < 0.1). (B) Receiver operating characteristic (ROC) curves for evaluating the diagnostic ability of the four genes separately or combined in a training cohort. (C, D) Box plots for the differential expression analyses of BRCA1 in the validation datasets GSE20163 and GSE49036. ROC curves for evaluating the diagnostic ability of BRCA1 in the validation datasets. (E) Box plots for the differential expression analysis of EGF in the validation dataset GSE20141. ROC curves for evaluating the diagnostic ability of EGF in GSE20141.