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Fast rule-based bioactivity prediction using associative classification mining
Relating chemical features to bioactivities is critical in molecular design and is used extensively in the lead discovery and optimization process. A variety of techniques from statistics, data mining and machine learning have been applied to this process. In this study, we utilize a collection of m...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3515428/ https://www.ncbi.nlm.nih.gov/pubmed/23176548 http://dx.doi.org/10.1186/1758-2946-4-29 |