Research Paper Volume 15, Issue 9 pp 3807—3825
Identification and validation of metabolism-related genes signature and immune infiltration landscape of rheumatoid arthritis based on machine learning
Figure 4. Identification of diagnostic feature biomarkers via multiple machine learning algorithms. (A, B) The least absolute shrinkage and selection operator (LASSO) algorithm shows the optimal coefficient based on the DE-MRGs. (C) The random forest (RF) algorithm shows the diagnostic feature biomarkers based on the DE-MRGs. (D) Venn diagrams show 4 diagnostic feature biomarkers using WGCNA, LASSO, and RF algorithms.