APA (7th ed.) Citation

Zhang, P., Li, X., Cao, J., Gong, L., Wang, L., Sun, L., . . . Zhang, H. (2026). Machine Learning Integration of Multiomics Data Reveals RNA Modification–Driven Inflammation–Immune Interplay and Predicts Immunotherapy Response in Cervical Cancer. International Journal of Genomics, 2026, 1. https://doi.org/10.1155/ijog/6458805

Chicago Style (17th ed.) Citation

Zhang, Pengyan, Xiaoying Li, Jing Cao, Liping Gong, Ling Wang, Litao Sun, Yaoting Wang, and Hao Zhang. "Machine Learning Integration of Multiomics Data Reveals RNA Modification–Driven Inflammation–Immune Interplay and Predicts Immunotherapy Response in Cervical Cancer." International Journal of Genomics 2026 (2026): 1. https://doi.org/10.1155/ijog/6458805.

MLA (9th ed.) Citation

Zhang, Pengyan, et al. "Machine Learning Integration of Multiomics Data Reveals RNA Modification–Driven Inflammation–Immune Interplay and Predicts Immunotherapy Response in Cervical Cancer." International Journal of Genomics, vol. 2026, 2026, p. 1, https://doi.org/10.1155/ijog/6458805.