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Original Articles
Benchmark dose modeling of transcriptional data: a systematic approach to identify best practices for study designs used in radiation research
Robert Stainfortha Radiation Protection Bureau, Health Canada, Ottawa, CanadaCorrespondence[email protected]
https://orcid.org/0000-0002-7759-368XView further author information
, https://orcid.org/0000-0002-7759-368XView further author information
Ngoc Vuonga Radiation Protection Bureau, Health Canada, Ottawa, CanadaView further author information
, Nadine Adamb Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, CanadaView further author information
, Byron Kuoc Exposure and Biomonitoring Division, Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Ottawa, ON, CanadaView further author information
, Ruth C. Wilkinsb Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, Canadahttps://orcid.org/0000-0002-9621-477XView further author information
, Carole Yaukd Department of Biology, University of Ottawa, Ottawa, ON, CanadaView further author information
, Afshin Beheshtie KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA;f Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USAhttps://orcid.org/0000-0003-4643-531XView further author information
& Vinita Chauhanb Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, CanadaCorrespondence[email protected]
https://orcid.org/0000-0002-4498-0915View further author information
show allhttps://orcid.org/0000-0002-4498-0915View further author information
Pages 1832-1844
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Received 06 Jan 2022, Accepted 06 Jul 2022, Published online: 22 Aug 2022
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