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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...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1877816/ https://ncbi.nlm.nih.gov/pubmed/17474999 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-144 |
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