Algorithms using clinical and genetic data (CYP2C9, VKORC1) are relevant to predict warfarin dose in patients with different INR targets.

MLA

Le Cam-Duchez, Véronique, et al. “Algorithms Using Clinical and Genetic Data (CYP2C9, VKORC1) Are Relevant to Predict Warfarin Dose in Patients with Different INR Targets.” Thrombosis Research, vol. 126, no. 3, Sept. 2010, pp. e235–37. EBSCOhost, https://doi.org/10.1016/j.thromres.2010.05.003.

APA

Le Cam-Duchez, V., Frétigny, M., Cailleux, N., Gandelin, C., Lévesque, H., & Borg, J.-Y. (2010). Algorithms using clinical and genetic data (CYP2C9, VKORC1) are relevant to predict warfarin dose in patients with different INR targets. Thrombosis Research, 126(3), e235–e237. https://doi.org/10.1016/j.thromres.2010.05.003

Chicago

Le Cam-Duchez, Véronique, Mathilde Frétigny, Nicole Cailleux, Catherine Gandelin, Hervé Lévesque, and Jeanne-Yvonne Borg. 2010. “Algorithms Using Clinical and Genetic Data (CYP2C9, VKORC1) Are Relevant to Predict Warfarin Dose in Patients with Different INR Targets.” Thrombosis Research 126 (3): e235–37. doi:10.1016/j.thromres.2010.05.003.