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Classification and prediction of toxicity of chemicals using an automated phenotypic profiling of Caenorhabditis elegans
BACKGROUND: Traditional toxicological studies have relied heavily on various animal models to understand the effect of various compounds in a biological context. Considering the great cost, complexity and time involved in experiments using higher order organisms. Researchers have been exploring alte...
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| Publicado no: | BMC Pharmacol Toxicol |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5907177/ https://ncbi.nlm.nih.gov/pubmed/29669598 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40360-018-0208-3 |
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