Integrative Bioinformatics, Experimental Validation, and Interpretable Machine Learning Reveal Oxyresveratrol‐Mediated Protection Against Cadmium‐Induced Lung Adenocarcinoma‐Related Transcriptional Dysregulation

= 0.90), while SHAP analysis identified Egln3 as the dominant context-dependent contributor, followed by Cbx2 and Crabp2. Complementary Elastic Net regression supported these findings through consistent linear associations. Overall, integrating interpretable machine learning with experimental evidence enhances mechanistic insight into Cd-induced transcriptional reprogramming and supports the protective role of O-RES.