Cite
Predicting responses to platin chemotherapy agents with biochemically-inspired machine learning.
MLA
Mucaki, Eliseos J., et al. “Predicting Responses to Platin Chemotherapy Agents with Biochemically-Inspired Machine Learning.” Signal Transduction and Targeted Therapy, vol. 4, Jan. 2019, p. 1. EBSCOhost, https://doi.org/10.1038/s41392-018-0034-5.
APA
Mucaki, E. J., Zhao, J. Z. L., Lizotte, D. J., & Rogan, P. K. (2019). Predicting responses to platin chemotherapy agents with biochemically-inspired machine learning. Signal Transduction and Targeted Therapy, 4, 1. https://doi.org/10.1038/s41392-018-0034-5
Chicago
Mucaki, Eliseos J, Jonathan Z L Zhao, Daniel J Lizotte, and Peter K Rogan. 2019. “Predicting Responses to Platin Chemotherapy Agents with Biochemically-Inspired Machine Learning.” Signal Transduction and Targeted Therapy 4 (January): 1. doi:10.1038/s41392-018-0034-5.