GSE60861数据集分析与CKD诊断优化

We examined the GSE60861 dataset and found that it consists of two subsets with different data sizes, namely GSE45980 and GSE60860. In GSE45980 (N=43), we observed that the minimal z-score has moderate diagnostic capability for CKD progression (AUC: 0.758). Future studies can further improve the diagnostic performance of the core gene set by screening for significantly contributing risk genes using various machine learning algorithms, including SHAP. Figure 4A and the corresponding text have been revised accordingly.