Gene selection algorithm by combining reliefF and mRMR

BACKGROUND: Gene expression data usually contains a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best discriminate biological samples of different types. In this paper, we present a two-stage selection algorithm...

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Detalles Bibliográficos
Autores principales: Zhang, Yi, Ding, Chris, Li, Tao
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559892/
https://www.ncbi.nlm.nih.gov/pubmed/18831793
http://dx.doi.org/10.1186/1471-2164-9-S2-S27

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559892/
https://www.ncbi.nlm.nih.gov/pubmed/18831793
http://dx.doi.org/10.1186/1471-2164-9-S2-S27

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