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Big-data and machine learning to revamp computational toxicology and its use in risk assessment
The creation of large toxicological databases and advances in machine-learning techniques have empowered computational approaches in toxicology. Work with these large databases based on regulatory data has allowed reproducibility assessment of animal models, which highlight weaknesses in traditional...
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| Yayımlandı: | Toxicol Res (Camb) |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Royal Society of Chemistry
2018
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6116175/ https://ncbi.nlm.nih.gov/pubmed/30310652 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1039/c8tx00051d |
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