A new regularized least squares support vector regression for gene selection

BACKGROUND: Selection of influential genes with microarray data often faces the difficulties of a large number of genes and a relatively small group of subjects. In addition to the curse of dimensionality, many gene selection methods weight the contribution from each individual subject equally. This...

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Detalles Bibliográficos
Autores principales: Chen, Pei-Chun, Huang, Su-Yun, Chen, Wei J, Hsiao, Chuhsing K
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2669483/
https://www.ncbi.nlm.nih.gov/pubmed/19187562
http://dx.doi.org/10.1186/1471-2105-10-44

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2669483/
https://www.ncbi.nlm.nih.gov/pubmed/19187562
http://dx.doi.org/10.1186/1471-2105-10-44

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