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Chauhan V, Adam N, Kuo B, et al. Meta-analysis of transcriptomic datasets using benchmark dose modeling shows value in supporting radiation risk assessment. Int J Radiat Biol. 2020;97(1):31-49doi: 10.1080/09553002.2020.1798543.
Chauhan, V., Adam, N., Kuo, B., Williams, A., Yauk, C. L., Wilkins, R., & Stainforth, R. (2021). Meta-analysis of transcriptomic datasets using benchmark dose modeling shows value in supporting radiation risk assessment. International journal of radiation biology, 97(1), 31-49. https://doi.org/10.1080/09553002.2020.1798543
Chauhan, Vinita, et al. "Meta-analysis of transcriptomic datasets using benchmark dose modeling shows value in supporting radiation risk assessment." International journal of radiation biology vol. 97,1 (2021): 31-49. doi: https://doi.org/10.1080/09553002.2020.1798543
Chauhan V, Adam N, Kuo B, Williams A, Yauk CL, Wilkins R, Stainforth R. Meta-analysis of transcriptomic datasets using benchmark dose modeling shows value in supporting radiation risk assessment. Int J Radiat Biol. 2021;97(1):31-49. doi: 10.1080/09553002.2020.1798543. Epub 2020 Aug 18. PMID: 32687419.
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