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Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
BACKGROUND: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that are important for distinguishing the different sample classes being compared, poses a challenging problem in high dimensio...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1877816/ https://www.ncbi.nlm.nih.gov/pubmed/17474999 http://dx.doi.org/10.1186/1471-2105-8-144 |