Integrative transcriptomic and machine learning analyses identify ABCD1 as a diagnostic and prognostic biomarker in cutaneous melanoma
By integrating bulk and single-cell transcriptomic data with machine learning algorithms, this study identifies ABCD1 as a robust diagnostic and prognostic biomarker that is highly expressed in malignant melanoma cells and correlates with poor patient survival and advanced disease stages.