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Prediction using step-wise L1, L2 regularization and feature selection for small data sets with large number of features
BACKGROUND: Machine learning methods are nowadays used for many biological prediction problems involving drugs, ligands or polypeptide segments of a protein. In order to build a prediction model a so called training data set of molecules with measured target properties is needed. For many such probl...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3224215/ https://www.ncbi.nlm.nih.gov/pubmed/22026913 http://dx.doi.org/10.1186/1471-2105-12-412 |