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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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Hlavní autoři: Yousef, Malik, Jung, Segun, Showe, Louise C, Showe, Michael K
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2007
Témata:
On-line přístup: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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