Cite
Nomogram prediction of the 70-gene signature (MammaPrint) binary and quartile categorized risk using medical history, imaging features and clinicopathological data among Chinese breast cancer patients.
MLA
Pan, Bo, et al. “Nomogram Prediction of the 70-Gene Signature (MammaPrint) Binary and Quartile Categorized Risk Using Medical History, Imaging Features and Clinicopathological Data among Chinese Breast Cancer Patients.” Journal of Translational Medicine, vol. 21, no. 1, Nov. 2023, pp. 1–14. EBSCOhost, https://doi.org/10.1186/s12967-023-04523-7.
APA
Pan, B., Xu, Y., Yao, R., Cao, X., Zhou, X., Hao, Z., Zhang, Y., Wang, C., Shen, S., Luo, Y., Zhu, Q., Ren, X., Kong, L., Zhou, Y., & Sun, Q. (2023). Nomogram prediction of the 70-gene signature (MammaPrint) binary and quartile categorized risk using medical history, imaging features and clinicopathological data among Chinese breast cancer patients. Journal of Translational Medicine, 21(1), 1–14. https://doi.org/10.1186/s12967-023-04523-7
Chicago
Pan, Bo, Ying Xu, Ru Yao, Xi Cao, Xingtong Zhou, Zhixin Hao, Yanna Zhang, et al. 2023. “Nomogram Prediction of the 70-Gene Signature (MammaPrint) Binary and Quartile Categorized Risk Using Medical History, Imaging Features and Clinicopathological Data among Chinese Breast Cancer Patients.” Journal of Translational Medicine 21 (1): 1–14. doi:10.1186/s12967-023-04523-7.