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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35939275 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Benchmark dose modeling of transcriptional data: a systematic approach to identify best practices for study designs used in radiation research. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Stainforth+R%22">Stainforth R</searchLink>; Radiation Protection Bureau, Health Canada, Ottawa, Canada.<br /><searchLink fieldCode="AU" term="%22Vuong+N%22">Vuong N</searchLink>; Radiation Protection Bureau, Health Canada, Ottawa, Canada.<br /><searchLink fieldCode="AU" term="%22Adam+N%22">Adam N</searchLink>; Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, Canada.<br /><searchLink fieldCode="AU" term="%22Kuo+B%22">Kuo B</searchLink>; Exposure and Biomonitoring Division, Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Ottawa, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Wilkins+RC%22">Wilkins RC</searchLink>; Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, Canada.<br /><searchLink fieldCode="AU" term="%22Yauk+C%22">Yauk C</searchLink>; Department of Biology, University of Ottawa, Ottawa, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Beheshti+A%22">Beheshti A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Chauhan+V%22">Chauhan V</searchLink>; Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, Canada. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228809243%22">International journal of radiation biology</searchLink> [Int J Radiat Biol] 2022; Vol. 98 (12), pp. 1832-1844. <i>Date of Electronic Publication: </i>2022 Aug 22. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Taylor+%26+Francis%22">Taylor & Francis </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>8809243 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1362-3095 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209553002%22">09553002 </searchLink><i>NLM ISO Abbreviation: </i>Int J Radiat Biol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35939275 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/09553002.2022.2110300 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1832 Titles: – TitleFull: Benchmark dose modeling of transcriptional data: a systematic approach to identify best practices for study designs used in radiation research. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Stainforth R – PersonEntity: Name: NameFull: Vuong N – PersonEntity: Name: NameFull: Adam N – PersonEntity: Name: NameFull: Kuo B – PersonEntity: Name: NameFull: Wilkins RC – PersonEntity: Name: NameFull: Yauk C – PersonEntity: Name: NameFull: Beheshti A – PersonEntity: Name: NameFull: Chauhan V IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2022 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1362-3095 Numbering: – Type: volume Value: 98 – Type: issue Value: 12 Titles: – TitleFull: International journal of radiation biology Type: main |
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