APA (7th ed.) Citation

F, J., X, C., C, Y., L, Z., M, Y., J, L., . . . K, W. (2025). Multi-omic-based classification for identifying optimal neoadjuvant treatment strategies for high-risk early-stage breast cancer. Science China. Life sciences, 68(10), 2934. https://doi.org/10.1007/s11427-024-2809-y

Chicago Style (17th ed.) Citation

F, Ji, et al. "Multi-omic-based Classification for Identifying Optimal Neoadjuvant Treatment Strategies for High-risk Early-stage Breast Cancer." Science China. Life Sciences 68, no. 10 (2025): 2934. https://doi.org/10.1007/s11427-024-2809-y.

MLA (9th ed.) Citation

F, Ji, et al. "Multi-omic-based Classification for Identifying Optimal Neoadjuvant Treatment Strategies for High-risk Early-stage Breast Cancer." Science China. Life Sciences, vol. 68, no. 10, 2025, p. 2934, https://doi.org/10.1007/s11427-024-2809-y.