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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...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2669483/ https://ncbi.nlm.nih.gov/pubmed/19187562 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-10-44 |
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