20 June 2025 : Clinical Research
Machine Learning-Driven Discovery of TRIM Genes as Diagnostic Biomarkers for Idiopathic Pulmonary Fibrosis
Xiangfei Huang CEFG 1, Wen Yu BCE 1, Fuzhou Hua E 2, Aiping Wei E 1, Xifeng Wang AE 1*, Shibiao Chen AEG 1DOI: 10.12659/MSM.948510
Med Sci Monit 2025; 31:e948510
Figure 5 Construction and validation of machine learning models (RF, GLM, SVM, and XGB) and evaluation of gene importance. (A) Residuals of the 4 models. (B) Evaluation of machine learning models using ROC curves. (C) Importance scores of disease-characteristic genes in the RF model. (D) ROC curve of HNRNPH1, MTR, ROPN1L, NCL, and TNIK. The figures were created with R software version 4.2.0. and GraphPad Prism 9.0.