APA (7th ed.) Citation

Li, H., Xu, Y., Wang, A., Zhao, C., Zheng, M., & Xiang, C. Integrative bioinformatics and machine learning approach unveils potential biomarkers linking coronary atherosclerosis and fatty acid metabolism-associated gene. BMC.

Chicago Style (17th ed.) Citation

Li, Hong, Yongyun Xu, Aiting Wang, Chuanxin Zhao, Man Zheng, and Chunyan Xiang. Integrative Bioinformatics and Machine Learning Approach Unveils Potential Biomarkers Linking Coronary Atherosclerosis and Fatty Acid Metabolism-associated Gene. BMC.

MLA (9th ed.) Citation

Li, Hong, et al. Integrative Bioinformatics and Machine Learning Approach Unveils Potential Biomarkers Linking Coronary Atherosclerosis and Fatty Acid Metabolism-associated Gene. BMC.