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A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
BACKGROUND: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also reduce the need for animal testing. Several public efforts are aimed at discovering patterns or classifiers in high-dimens...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2409339/ https://www.ncbi.nlm.nih.gov/pubmed/18489778 http://dx.doi.org/10.1186/1471-2105-9-241 |