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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| 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 |