Research Paper Volume 15, Issue 1 pp 193—212
A two-gene random forest model to diagnose osteoarthritis based on RNA-binding protein-related genes in knee cartilage tissue
Figure 4. Feature selection via machine learning algorithms. (A) 15 genes were determined by Lasso regression. (B) The parameters of the variables in the Lasso regression model. (C) 37 genes were identified by SVM-RFE algorithm. (D) Boruta algorithm helped to select 37 genes. (E) RNMT and RBM24 were con-determined by the PPI network analysis and machine learning algorithms.