Unlocking potential biomarkers bridging coronary atherosclerosis and pyrimidine metabolism-associated genes through an integrated bioinformatics and machine learning approach

MLA

Fanli Bu, et al. “Unlocking Potential Biomarkers Bridging Coronary Atherosclerosis and Pyrimidine Metabolism-Associated Genes through an Integrated Bioinformatics and Machine Learning Approach.” BMC Cardiovascular Disorders, vol. 24, no. 1, Mar. 2024, pp. 1–16. EBSCOhost, https://doi.org/10.1186/s12872-024-03819-w.

APA

Fanli Bu, Xiao Qin, Tiantian Wang, Na Li, Man Zheng, Zixuan Wu, & Kai Ma. (2024). Unlocking potential biomarkers bridging coronary atherosclerosis and pyrimidine metabolism-associated genes through an integrated bioinformatics and machine learning approach. BMC Cardiovascular Disorders, 24(1), 1–16. https://doi.org/10.1186/s12872-024-03819-w

Chicago

Fanli Bu, Xiao Qin, Tiantian Wang, Na Li, Man Zheng, Zixuan Wu, and Kai Ma. 2024. “Unlocking Potential Biomarkers Bridging Coronary Atherosclerosis and Pyrimidine Metabolism-Associated Genes through an Integrated Bioinformatics and Machine Learning Approach.” BMC Cardiovascular Disorders 24 (1): 1–16. doi:10.1186/s12872-024-03819-w.