APA (7th ed.) Citation

Shi, H., Lu, Y., Du, J., Du, W., Ye, X., Yu, X., . . . Li, Q. (2012). Application of back propagation artificial neural network on genetic variants in adiponectin ADIPOQ, peroxisome proliferator-activated receptor-γ, and retinoid X receptor-α genes and type 2 diabetes risk in a Chinese Han population. Diabetes technology & therapeutics, 14(3), 293. https://doi.org/10.1089/dia.2011.0071

Chicago Style (17th ed.) Citation

Shi, Hui, et al. "Application of Back Propagation Artificial Neural Network on Genetic Variants in Adiponectin ADIPOQ, Peroxisome Proliferator-activated Receptor-γ, and Retinoid X Receptor-α Genes and Type 2 Diabetes Risk in a Chinese Han Population." Diabetes Technology & Therapeutics 14, no. 3 (2012): 293. https://doi.org/10.1089/dia.2011.0071.

MLA (9th ed.) Citation

Shi, Hui, et al. "Application of Back Propagation Artificial Neural Network on Genetic Variants in Adiponectin ADIPOQ, Peroxisome Proliferator-activated Receptor-γ, and Retinoid X Receptor-α Genes and Type 2 Diabetes Risk in a Chinese Han Population." Diabetes Technology & Therapeutics, vol. 14, no. 3, 2012, p. 293, https://doi.org/10.1089/dia.2011.0071.