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Predicting organ toxicity using in vitro bioactivity data and chemical structure

Animal testing alone cannot practically evaluate the health hazard posed by tens of thousands of environmental chemicals. Computational approaches making use of high-throughput experimental data may provide more efficient means to predict chemical toxicity. Here, we use a supervised machine learning...

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Detalhes bibliográficos
Publicado no:Chem Res Toxicol
Main Authors: Liu, Jie, Patlewicz, Grace, Williams, Antony J., Thomas, Russell S., Shah, Imran
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6172960/
https://ncbi.nlm.nih.gov/pubmed/28768096
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.chemrestox.7b00084
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