Integrative bioinformatics and machine learning approaches identify novel diagnostic signatures for oxaliplatin-resistant colorectal cancer

Our study establishes a novel multi-gene diagnostic signature for oxaliplatin resistance through integrative bioinformatics and machine learning approaches. The comprehensive molecular characterization and identification of potential therapeutic candidates provide new insights into resistance mechanisms and clinical management strategies for oxaliplatin-resistant colorectal cancer.