Wang, Z.; Xing, K.; Zhang, B.; Zhang, Y.; Chai, T.; Geng, J.; Qin, X.; Zhang, X.; Xu, C.
Identification of Prognostic Gene Signatures by Developing a scRNA-Seq-Based Integration Approach to Predict Recurrence and Chemotherapy Benefit in Stage II–III Colorectal Cancer. Int. J. Mol. Sci. 2022, 23, 12460.
https://doi.org/10.3390/ijms232012460
AMA Style
Wang Z, Xing K, Zhang B, Zhang Y, Chai T, Geng J, Qin X, Zhang X, Xu C.
Identification of Prognostic Gene Signatures by Developing a scRNA-Seq-Based Integration Approach to Predict Recurrence and Chemotherapy Benefit in Stage II–III Colorectal Cancer. International Journal of Molecular Sciences. 2022; 23(20):12460.
https://doi.org/10.3390/ijms232012460
Chicago/Turabian Style
Wang, Zixuan, Kaiyuan Xing, Bo Zhang, Yanru Zhang, Tengyue Chai, Jingkai Geng, Xuexue Qin, Xinxin Zhang, and Chaohan Xu.
2022. "Identification of Prognostic Gene Signatures by Developing a scRNA-Seq-Based Integration Approach to Predict Recurrence and Chemotherapy Benefit in Stage II–III Colorectal Cancer" International Journal of Molecular Sciences 23, no. 20: 12460.
https://doi.org/10.3390/ijms232012460
APA Style
Wang, Z., Xing, K., Zhang, B., Zhang, Y., Chai, T., Geng, J., Qin, X., Zhang, X., & Xu, C.
(2022). Identification of Prognostic Gene Signatures by Developing a scRNA-Seq-Based Integration Approach to Predict Recurrence and Chemotherapy Benefit in Stage II–III Colorectal Cancer. International Journal of Molecular Sciences, 23(20), 12460.
https://doi.org/10.3390/ijms232012460