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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...
Gorde:
| Argitaratua izan da: | Chem Res Toxicol |
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| Egile Nagusiak: | , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2017
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| Gaiak: | |
| Sarrera elektronikoa: | 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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