Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE

BACKGROUND: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease. Among numerous existing methods for gene selection, support vector machine-based recursive feature elimination (SVM-RFE...

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Detalles Bibliográficos
Autores principales: Niijima, Satoshi, Kuhara, Satoru
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1790716/
https://www.ncbi.nlm.nih.gov/pubmed/17187691
http://dx.doi.org/10.1186/1471-2105-7-543

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1790716/
https://www.ncbi.nlm.nih.gov/pubmed/17187691
http://dx.doi.org/10.1186/1471-2105-7-543

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