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In-silico predictive mutagenicity model generation using supervised learning approaches
BACKGROUND: Experimental screening of chemical compounds for biological activity is a time consuming and expensive practice. In silico predictive models permit inexpensive, rapid “virtual screening” to prioritize selection of compounds for experimental testing. Both experimental and in silico screen...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3542175/ https://www.ncbi.nlm.nih.gov/pubmed/22587596 http://dx.doi.org/10.1186/1758-2946-4-10 |