APA (7th ed.) Citation

Li, C., Hu, J., Li, M., Fan, X., & Mao, Y. (2024). Integrating machine learning and multi-omics analysis to develop an immune-derived multiple programmed cell death signature for predicting clinical outcomes in gastric cancer. Oncologie (De Gruyter), 26(6), 1019. https://doi.org/10.1515/oncologie-2024-0284

Chicago Style (17th ed.) Citation

Li, Chunhong, Jiahua Hu, Mengqin Li, Xiao Fan, and Yiming Mao. "Integrating Machine Learning and Multi-omics Analysis to Develop an Immune-derived Multiple Programmed Cell Death Signature for Predicting Clinical Outcomes in Gastric Cancer." Oncologie (De Gruyter) 26, no. 6 (2024): 1019. https://doi.org/10.1515/oncologie-2024-0284.

MLA (9th ed.) Citation

Li, Chunhong, et al. "Integrating Machine Learning and Multi-omics Analysis to Develop an Immune-derived Multiple Programmed Cell Death Signature for Predicting Clinical Outcomes in Gastric Cancer." Oncologie (De Gruyter), vol. 26, no. 6, 2024, p. 1019, https://doi.org/10.1515/oncologie-2024-0284.