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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Detalles Bibliográficos
Autores principales: Yousef, Malik, Jung, Segun, Showe, Louise C, Showe, Michael K
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research Article
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

Internet

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

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