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Predictive classifier models built from natural products with antimalarial bioactivity using machine learning approach
In view of the vast number of natural products with potential antiplasmodial bioactivity and cost of conducting antiplasmodial bioactivity assays, it may be judicious to learn from previous antiplasmodial bioassays and predict bioactivity of these natural products before experimental bioassays. This...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161899/ https://www.ncbi.nlm.nih.gov/pubmed/30265702 http://dx.doi.org/10.1371/journal.pone.0204644 |