Benchmark dose modeling of transcriptional data: a systematic approach to identify best practices for study designs used in radiation research.
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| Title: | Benchmark dose modeling of transcriptional data: a systematic approach to identify best practices for study designs used in radiation research. |
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| Authors: | Stainforth R; Radiation Protection Bureau, Health Canada, Ottawa, Canada., Vuong N; Radiation Protection Bureau, Health Canada, Ottawa, Canada., Adam N; Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, Canada., Kuo B; Exposure and Biomonitoring Division, Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Ottawa, ON, Canada., Wilkins RC; Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, Canada., Yauk C; Department of Biology, University of Ottawa, Ottawa, ON, Canada., Beheshti A; KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA.; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA., Chauhan V; Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, Canada. |
| Source: | International journal of radiation biology [Int J Radiat Biol] 2022; Vol. 98 (12), pp. 1832-1844. Date of Electronic Publication: 2022 Aug 22. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Taylor & Francis Country of Publication: England NLM ID: 8809243 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1362-3095 (Electronic) Linking ISSN: 09553002 NLM ISO Abbreviation: Int J Radiat Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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