Bioinformatics identification of candidate biomarkers associated with T cell proliferation in atherosclerosis via WGCNA and machine learning.
It is suggested that CLU and GUCY1B3 may serve as candidate biomarkers warranting further experimental investigation in AS associated with T cell proliferation, and a nomogram constructed from these biomarkers showed good performance in predicting AS risk.