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

Key Points

• The study aims to explore how oxyresveratrol protects against transcriptional dysregulation caused by cadmium.
• Utilized integrative bioinformatics and machine learning techniques to analyze data.
• Performed experimental validation to assess transcriptional changes.
• Applied Elastic Net regression and SHAP analysis to identify key contributors.
• SHAP analysis revealed Egln3 as the main contributor to transcriptional changes.
• Cbx2 and Crabp2 were also identified as significant contributors.
• Integrating machine learning with experimental data provided deeper insights into the mechanisms of Cd-induced dysregulation.