Fig. 1

Construction of predictive models for disulfidptosis related genes and differential expression analysis. A. Multiple machine learning approaches to construct disulfidptosis related genes prediction models (in order of model accuracy). B. Expression of disulfidptosis related genes in all samples of the Merge data. C. Differential expression analysis of disulfidptosis related genes in normal and IVDD groups. D. ROC diagnostic model of 12 disulfidptosis related genes with significantly high expression in IVDD group. E. Analysis of differences in methylation site levels in the normal and IVDD groups. F. Expression of methylation sites corresponding to disulfidptosis genes in the early and advanced stage degeneration groups