Cui, X.; Li, C.; Ding, J.; Yao, Z.; Zhao, T.; Guo, J.; Wang, Y.; Li, J.
Establishing a Proteomics-Based Signature of AKR1C3-Related Genes for Predicting the Prognosis of Prostate Cancer. Int. J. Mol. Sci. 2023, 24, 4513.
https://doi.org/10.3390/ijms24054513
AMA Style
Cui X, Li C, Ding J, Yao Z, Zhao T, Guo J, Wang Y, Li J.
Establishing a Proteomics-Based Signature of AKR1C3-Related Genes for Predicting the Prognosis of Prostate Cancer. International Journal of Molecular Sciences. 2023; 24(5):4513.
https://doi.org/10.3390/ijms24054513
Chicago/Turabian Style
Cui, Xiaoli, Changcheng Li, Jipeng Ding, Zhou Yao, Tianyu Zhao, Jiahui Guo, Yaru Wang, and Jing Li.
2023. "Establishing a Proteomics-Based Signature of AKR1C3-Related Genes for Predicting the Prognosis of Prostate Cancer" International Journal of Molecular Sciences 24, no. 5: 4513.
https://doi.org/10.3390/ijms24054513
APA Style
Cui, X., Li, C., Ding, J., Yao, Z., Zhao, T., Guo, J., Wang, Y., & Li, J.
(2023). Establishing a Proteomics-Based Signature of AKR1C3-Related Genes for Predicting the Prognosis of Prostate Cancer. International Journal of Molecular Sciences, 24(5), 4513.
https://doi.org/10.3390/ijms24054513