APA (7th ed.) Citation

Liu, H., Fu, Q., & Chen, J. (2026). Transcriptomic Profiling Combined with Machine Learning and Mendelian Randomization Identifies Diagnostic Biomarkers and Immune Infiltration Patterns in Diabetic Kidney Disease. Molecules, 31(9), 1390. https://doi.org/10.3390/molecules31091390

Chicago Style (17th ed.) Citation

Liu, Haiwen, Qiang Fu, and Jing Chen. "Transcriptomic Profiling Combined with Machine Learning and Mendelian Randomization Identifies Diagnostic Biomarkers and Immune Infiltration Patterns in Diabetic Kidney Disease." Molecules 31, no. 9 (2026): 1390. https://doi.org/10.3390/molecules31091390.

MLA (9th ed.) Citation

Liu, Haiwen, et al. "Transcriptomic Profiling Combined with Machine Learning and Mendelian Randomization Identifies Diagnostic Biomarkers and Immune Infiltration Patterns in Diabetic Kidney Disease." Molecules, vol. 31, no. 9, 2026, p. 1390, https://doi.org/10.3390/molecules31091390.