Cite
A Multi-scale Computational Platform to Mechanistically Assess the Effect of Genetic Variation on Drug Responses in Human Erythrocyte Metabolism.
MLA
Mih, Nathan, et al. “A Multi-Scale Computational Platform to Mechanistically Assess the Effect of Genetic Variation on Drug Responses in Human Erythrocyte Metabolism.” PLoS Computational Biology, vol. 12, no. 7, July 2016, pp. 1–24. EBSCOhost, https://doi.org/10.1371/journal.pcbi.1005039.
APA
Mih, N., Brunk, E., Bordbar, A., & Palsson, B. O. (2016). A Multi-scale Computational Platform to Mechanistically Assess the Effect of Genetic Variation on Drug Responses in Human Erythrocyte Metabolism. PLoS Computational Biology, 12(7), 1–24. https://doi.org/10.1371/journal.pcbi.1005039
Chicago
Mih, Nathan, Elizabeth Brunk, Aarash Bordbar, and Bernhard O. Palsson. 2016. “A Multi-Scale Computational Platform to Mechanistically Assess the Effect of Genetic Variation on Drug Responses in Human Erythrocyte Metabolism.” PLoS Computational Biology 12 (7): 1–24. doi:10.1371/journal.pcbi.1005039.