Aging
Navigate
Back to articleFigure 2(2 of 9)
100%
Figure 2
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.
Figure 2 — Aging-related biomarkers for the diagnosis of Parkinson’s disease based on bioinformatics analysis and machine learning | Aging