| Autor: |
Ruili Huang, Menghang Xia, Srilatha Sakamuru, Jinghua Zhao, Sampada A. Shahane, Matias Attene-Ramos, Tongan Zhao, Christopher P. Austin, Anton Simeonov |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 7, Iss 1, Pp 1-10 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/ncomms10425 |
| Popis: |
Large-scale in vitro assays may reduce the number of toxicological tests carried out in animals. Here, Huang et al. report a large dataset containing results of in vitrotests of approximately 10,000 chemicals, and use these data to create models that can potentially predict toxicity in humans. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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