Cite
Integration analysis of cell division cycle-associated family genes revealed potential mechanisms of gliomagenesis and constructed an artificial intelligence-driven prognostic signature.
MLA
Yu, Kai, et al. “Integration Analysis of Cell Division Cycle-Associated Family Genes Revealed Potential Mechanisms of Gliomagenesis and Constructed an Artificial Intelligence-Driven Prognostic Signature.” Cellular Signalling, vol. 119, July 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.cellsig.2024.111168.
APA
Yu, K., Tian, Q., Feng, S., Zhang, Y., Cheng, Z., Li, M., Zhu, H., He, J., Li, M., & Xiong, X. (2024). Integration analysis of cell division cycle-associated family genes revealed potential mechanisms of gliomagenesis and constructed an artificial intelligence-driven prognostic signature. Cellular Signalling, 119, N.PAG. https://doi.org/10.1016/j.cellsig.2024.111168
Chicago
Yu, Kai, Qi Tian, Shi Feng, Yonggang Zhang, Ziqi Cheng, Mingyang Li, Hua Zhu, Jianying He, Mingchang Li, and Xiaoxing Xiong. 2024. “Integration Analysis of Cell Division Cycle-Associated Family Genes Revealed Potential Mechanisms of Gliomagenesis and Constructed an Artificial Intelligence-Driven Prognostic Signature.” Cellular Signalling 119 (July): N.PAG. doi:10.1016/j.cellsig.2024.111168.