APA (7th ed.) Citation

Zhang, H., Hu, F., Peng, O., Huang, Y., Hu, G., Ashraf, U., . . . Cao, Y. (2024). Multi‐Omics Analysis by Machine Learning Identified Lysophosphatidic Acid as a Biomarker and Therapeutic Target for Porcine Reproductive and Respiratory Syndrome. Advanced Science, 11(34), 1. https://doi.org/10.1002/advs.202402025

Chicago Style (17th ed.) Citation

Zhang, Hao, et al. "Multi‐Omics Analysis by Machine Learning Identified Lysophosphatidic Acid as a Biomarker and Therapeutic Target for Porcine Reproductive and Respiratory Syndrome." Advanced Science 11, no. 34 (2024): 1. https://doi.org/10.1002/advs.202402025.

MLA (9th ed.) Citation

Zhang, Hao, et al. "Multi‐Omics Analysis by Machine Learning Identified Lysophosphatidic Acid as a Biomarker and Therapeutic Target for Porcine Reproductive and Respiratory Syndrome." Advanced Science, vol. 11, no. 34, 2024, p. 1, https://doi.org/10.1002/advs.202402025.