Fig. 3
From: Unveiling CCR9 and CCL13 as immune biomarkers and therapeutic targets in thymoma
Machine learning screening of potential biomarkers. (A) Candidate gene selection via Least Absolute Shrinkage and Selection Operator (LASSO) regression. (B) Identification of characteristic variables using the Boruta algorithm. (C) Important gene prioritization in thymoma via Support Vector Machine Recursive Feature Elimination (SVM-RFE). (D) Venn diagram showing the intersection of three potential biomarkers.
