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In silico prediction of chemical aquatic toxicity for marine crustaceans via machine learning
Aquatic toxicity is a crucial endpoint for evaluating chemically adverse effects on ecosystems. Therefore, we developed in silico methods for the prediction of chemical aquatic toxicity in marine environment. At first, a diverse data set including different crustacean species was constructed. We the...
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| Udgivet i: | Toxicol Res (Camb) |
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| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Royal Society of Chemistry
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6505403/ https://ncbi.nlm.nih.gov/pubmed/31160968 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1039/c8tx00331a |
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