APA (7th ed.) Citation

Zhang, Y., Li, Y., Qiu, X., Wu, J., Bi, Q., Cao, P., . . . Luo, Y. (2026). Immune Infiltration‐Related Genes as Potential Biomarkers and Predicted Targets for Renal Allograft Delayed Graft Function and Survival Outcome: An Integrated Machine Learning Approach and Drugs Analysis. Mediators of Inflammation, 2026, 1. https://doi.org/10.1155/mi/1451740

Chicago Style (17th ed.) Citation

Zhang, Yifei, Yuqing Li, Xuemeng Qiu, Jiyue Wu, Qing Bi, Peng Cao, Jiandong Zhang, Wei Wang, and Yao Luo. "Immune Infiltration‐Related Genes as Potential Biomarkers and Predicted Targets for Renal Allograft Delayed Graft Function and Survival Outcome: An Integrated Machine Learning Approach and Drugs Analysis." Mediators of Inflammation 2026 (2026): 1. https://doi.org/10.1155/mi/1451740.

MLA (9th ed.) Citation

Zhang, Yifei, et al. "Immune Infiltration‐Related Genes as Potential Biomarkers and Predicted Targets for Renal Allograft Delayed Graft Function and Survival Outcome: An Integrated Machine Learning Approach and Drugs Analysis." Mediators of Inflammation, vol. 2026, 2026, p. 1, https://doi.org/10.1155/mi/1451740.