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...

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Detalles Bibliográficos
Autores principales: Demir-Kavuk, Ozgur, Kamada, Mayumi, Akutsu, Tatsuya, Knapp, Ernst-Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Methodology Article
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

Internet

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

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