APA (7th ed.) Citation

V, C., N, A., B, K., A, W., CL, Y., R, W., & R, S. (2021). Meta-analysis of transcriptomic datasets using benchmark dose modeling shows value in supporting radiation risk assessment. International journal of radiation biology, 97(1), 31. https://doi.org/10.1080/09553002.2020.1798543

Chicago Style (17th ed.) Citation

V, Chauhan, Adam N, Kuo B, Williams A, Yauk CL, Wilkins R, and Stainforth R. "Meta-analysis of Transcriptomic Datasets Using Benchmark Dose Modeling Shows Value in Supporting Radiation Risk Assessment." International Journal of Radiation Biology 97, no. 1 (2021): 31. https://doi.org/10.1080/09553002.2020.1798543.

MLA (9th ed.) Citation

V, Chauhan, et al. "Meta-analysis of Transcriptomic Datasets Using Benchmark Dose Modeling Shows Value in Supporting Radiation Risk Assessment." International Journal of Radiation Biology, vol. 97, no. 1, 2021, p. 31, https://doi.org/10.1080/09553002.2020.1798543.