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Design, synthesis and experimental validation of novel potential chemopreventive agents using random forest and support vector machine binary classifiers
Compared to the current knowledge on cancer chemotherapeutic agents, only limited information is available on the ability of organic compounds, such as drugs and/or natural products, to prevent or delay the onset of cancer. In order to evaluate chemical chemopreventive potentials and design novel ch...
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| Publicat a: | J Comput Aided Mol Des |
|---|---|
| Autors principals: | , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2014
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5600879/ https://ncbi.nlm.nih.gov/pubmed/24840854 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10822-014-9748-9 |
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