InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data.

MLA

Yang, Hai, et al. “InDEP: An Interpretable Machine Learning Approach to Predict Cancer Driver Genes from Multi-Omics Data.” Briefings in Bioinformatics, vol. 24, no. 5, Sept. 2023, pp. 1–11. EBSCOhost, https://doi.org/10.1093/bib/bbad318.

APA

Yang, H., Liu, Y., Yang, Y., Li, D., & Wang, Z. (2023). InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data. Briefings in Bioinformatics, 24(5), 1–11. https://doi.org/10.1093/bib/bbad318

Chicago

Yang, Hai, Yawen Liu, Yijing Yang, Dongdong Li, and Zhe Wang. 2023. “InDEP: An Interpretable Machine Learning Approach to Predict Cancer Driver Genes from Multi-Omics Data.” Briefings in Bioinformatics 24 (5): 1–11. doi:10.1093/bib/bbad318.