Abstract Background A plethora of prognostic biomarkers for esophageal squamous cell carcinoma (ESCC) that have hitherto been reported are challenged with low reproducibility due to high molecular heterogeneity of ESCC. The purpose of this study was to identify the optimal biomarkers for ESCC using machine learning algorithms. Methods Biomarkers related to clinical survival. recurrenc... https://excellentphoto.shop/product-category/earphones/