Development and validation of a model and nomogram for breast cancer diagnosis based on quantitative analysis of serum disease-specific haptoglobin N-glycosylation.

MLA

Li, Linrong, et al. “Development and Validation of a Model and Nomogram for Breast Cancer Diagnosis Based on Quantitative Analysis of Serum Disease-Specific Haptoglobin N-Glycosylation.” Journal of Translational Medicine, vol. 22, no. 1, Apr. 2024, p. 331. EBSCOhost, https://doi.org/10.1186/s12967-024-05039-4.

APA

Li, L., Xu, Y., Lai, Z., Li, D., Sun, Q., Li, Z., & Zhou, Y. (2024). Development and validation of a model and nomogram for breast cancer diagnosis based on quantitative analysis of serum disease-specific haptoglobin N-glycosylation. Journal of Translational Medicine, 22(1), 331. https://doi.org/10.1186/s12967-024-05039-4

Chicago

Li, Linrong, Yali Xu, Zhizhen Lai, Dan Li, Qiang Sun, Zhili Li, and Yidong Zhou. 2024. “Development and Validation of a Model and Nomogram for Breast Cancer Diagnosis Based on Quantitative Analysis of Serum Disease-Specific Haptoglobin N-Glycosylation.” Journal of Translational Medicine 22 (1): 331. doi:10.1186/s12967-024-05039-4.