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Random forests for feature selection in QSPR Models - an application for predicting standard enthalpy of formation of hydrocarbons
BACKGROUND: One of the main topics in the development of quantitative structure-property relationship (QSPR) predictive models is the identification of the subset of variables that represent the structure of a molecule and which are predictors for a given property. There are several automated featur...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2013
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599435/ https://www.ncbi.nlm.nih.gov/pubmed/23399299 http://dx.doi.org/10.1186/1758-2946-5-9 |