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Clustering cancer gene expression data: a comparative study

BACKGROUND: The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have proposed new clustering methods that take advantage of characteristics of the gene expression data, the medical community has a...

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Detalles Bibliográficos
Autores principales:	de Souto, Marcilio CP, Costa, Ivan G, de Araujo, Daniel SA, Ludermir, Teresa B, Schliep, Alexander
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2008
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2632677/ https://www.ncbi.nlm.nih.gov/pubmed/19038021 http://dx.doi.org/10.1186/1471-2105-9-497

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