Exploration of the screening and regulatory mechanisms of biomarkers related to ac4C modification in laryngeal squamous cell carcinoma patients based on single-cell analysis and machine learning
This study integrates single-cell analysis and machine learning to identify seven ac4C-related prognostic genes in laryngeal squamous cell carcinoma that modulate the tumor immune microenvironment and serve as potential therapeutic targets.