An Entropy-based gene selection method for cancer classification using microarray data

BACKGROUND: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of non-redundant but relevant genes is difficult. The selected gene set should be small enough to allow diagnosis even in reg...

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Detalles Bibliográficos
Autores principales: Liu, Xiaoxing, Krishnan, Arun, Mondry, Adrian
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1087831/
https://www.ncbi.nlm.nih.gov/pubmed/15790388
http://dx.doi.org/10.1186/1471-2105-6-76

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1087831/
https://www.ncbi.nlm.nih.gov/pubmed/15790388
http://dx.doi.org/10.1186/1471-2105-6-76

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