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Binary Classification of Aqueous Solubility Using Support Vector Machines with Reduction and Recombination Feature Selection
[Image: see text] Aqueous solubility is recognized as a critical parameter in both the early- and late-stage drug discovery. Therefore, in silico modeling of solubility has attracted extensive interests in recent years. Most previous studies have been limited in using relatively small data sets with...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3047290/ https://www.ncbi.nlm.nih.gov/pubmed/21214224 http://dx.doi.org/10.1021/ci100364a |