Effects of Multi-Omics Characteristics on Identification of Driver Genes Using Machine Learning Algorithms.

MLA

Li, Feng, et al. “Effects of Multi-Omics Characteristics on Identification of Driver Genes Using Machine Learning Algorithms.” Genes, vol. 13, no. 5, May 2022, p. 716. EBSCOhost, https://doi.org/10.3390/genes13050716.

APA

Li, F., Chu, X., Dai, L., Wang, J., Liu, J., & Shang, J. (2022). Effects of Multi-Omics Characteristics on Identification of Driver Genes Using Machine Learning Algorithms. Genes, 13(5), 716. https://doi.org/10.3390/genes13050716

Chicago

Li, Feng, Xin Chu, Lingyun Dai, Juan Wang, Jinxing Liu, and Junliang Shang. 2022. “Effects of Multi-Omics Characteristics on Identification of Driver Genes Using Machine Learning Algorithms.” Genes 13 (5): 716. doi:10.3390/genes13050716.