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Prediction of developmental chemical toxicity based on gene networks of human embryonic stem cells
Predictive toxicology using stem cells or their derived tissues has gained increasing importance in biomedical and pharmaceutical research. Here, we show that toxicity category prediction by support vector machines (SVMs), which uses qRT-PCR data from 20 categorized chemicals based on a human embryo...
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| Publicado no: | Nucleic Acids Res |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4937330/ https://ncbi.nlm.nih.gov/pubmed/27207879 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkw450 |
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