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 2. Identification of the potential diagnostic biomarkers from the selected modules. (A) Ridge Regression analysis (RR). (B) Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis. (C) Random Forest (RF) analysis. (D) Support Vector Machine (SVM) analysis. (E) Venn plot exhibiting the biomarkers that were identified by all four algorithms.