R, S., N, V., N, A., B, K., RC, W., C, Y., . . . V, C. (2022). Benchmark dose modeling of transcriptional data: A systematic approach to identify best practices for study designs used in radiation research. International journal of radiation biology, 98(12), 1832. https://doi.org/10.1080/09553002.2022.2110300
Chicago Style (17th ed.) CitationR, Stainforth, Vuong N, Adam N, Kuo B, Wilkins RC, Yauk C, Beheshti A, and Chauhan V. "Benchmark Dose Modeling of Transcriptional Data: A Systematic Approach to Identify Best Practices for Study Designs Used in Radiation Research." International Journal of Radiation Biology 98, no. 12 (2022): 1832. https://doi.org/10.1080/09553002.2022.2110300.
MLA (9th ed.) CitationR, Stainforth, et al. "Benchmark Dose Modeling of Transcriptional Data: A Systematic Approach to Identify Best Practices for Study Designs Used in Radiation Research." International Journal of Radiation Biology, vol. 98, no. 12, 2022, p. 1832, https://doi.org/10.1080/09553002.2022.2110300.