APA (7th ed.) Citation

Wu, J., Gan, L., Shen, X., Zhang, F., Li, Z., Cao, H., . . . Wang, W. (2025). Multiple omics-based machine learning reveals peripheral blood immune cell landscape during acute rejection of kidney transplantation and constructs a precise non-invasive diagnostic strategy. Mammalian Genome, 36(4), 1192. https://doi.org/10.1007/s00335-025-10149-5

Chicago Style (17th ed.) Citation

Wu, Jiyue, et al. "Multiple Omics-based Machine Learning Reveals Peripheral Blood Immune Cell Landscape During Acute Rejection of Kidney Transplantation and Constructs a Precise Non-invasive Diagnostic Strategy." Mammalian Genome 36, no. 4 (2025): 1192. https://doi.org/10.1007/s00335-025-10149-5.

MLA (9th ed.) Citation

Wu, Jiyue, et al. "Multiple Omics-based Machine Learning Reveals Peripheral Blood Immune Cell Landscape During Acute Rejection of Kidney Transplantation and Constructs a Precise Non-invasive Diagnostic Strategy." Mammalian Genome, vol. 36, no. 4, 2025, p. 1192, https://doi.org/10.1007/s00335-025-10149-5.