Predicting In Vivo Efficacy from In Vitro Data: Quantitative Systems Pharmacology Modeling for an Epigenetic Modifier Drug in Cancer.

MLA

Bouhaddou, Mehdi, et al. “Predicting In Vivo Efficacy from In Vitro Data: Quantitative Systems Pharmacology Modeling for an Epigenetic Modifier Drug in Cancer.” Clinical and Translational Science, vol. 13, no. 2, Mar. 2020, pp. 419–29. EBSCOhost, https://doi.org/10.1111/cts.12727.

APA

Bouhaddou, M., Yu, L. J., Lunardi, S., Stamatelos, S. K., Mack, F., Gallo, J. M., Birtwistle, M. R., & Walz, A.-C. (2020). Predicting In Vivo Efficacy from In Vitro Data: Quantitative Systems Pharmacology Modeling for an Epigenetic Modifier Drug in Cancer. Clinical and Translational Science, 13(2), 419–429. https://doi.org/10.1111/cts.12727

Chicago

Bouhaddou, Mehdi, Li J Yu, Serena Lunardi, Spyros K Stamatelos, Fiona Mack, James M Gallo, Marc R Birtwistle, and Antje-Christine Walz. 2020. “Predicting In Vivo Efficacy from In Vitro Data: Quantitative Systems Pharmacology Modeling for an Epigenetic Modifier Drug in Cancer.” Clinical and Translational Science 13 (2): 419–29. doi:10.1111/cts.12727.