A review of quantitative structure-activity relationship modelling approaches to predict the toxicity of mixtures
dc.contributor.author | Belfield, Samuel J. | |
dc.contributor.author | Firman, James W. | |
dc.contributor.author | Enoch, Steven J. | |
dc.contributor.author | Madden, Judith C. | |
dc.contributor.author | Tollefsen, Knut-Erik | |
dc.contributor.author | Cronin, Mark T.D. | |
dc.date.accessioned | 2023-03-22T10:08:49Z | |
dc.date.available | 2023-03-22T10:08:49Z | |
dc.date.created | 2023-03-14T13:12:06Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Computational Toxicology. 2022, 25 . | |
dc.identifier.issn | 2468-1113 | |
dc.identifier.uri | https://hdl.handle.net/11250/3059776 | |
dc.language.iso | eng | |
dc.title | A review of quantitative structure-activity relationship modelling approaches to predict the toxicity of mixtures | |
dc.title.alternative | A review of quantitative structure-activity relationship modelling approaches to predict the toxicity of mixtures | |
dc.type | Peer reviewed | |
dc.type | Journal article | |
dc.description.version | publishedVersion | |
dc.source.pagenumber | 12 | |
dc.source.volume | 25 | |
dc.source.journal | Computational Toxicology | |
dc.identifier.doi | 10.1016/j.comtox.2022.100251 | |
dc.identifier.cristin | 2133819 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 |