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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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Autori principali: de Souto, Marcilio CP, Costa, Ivan G, de Araujo, Daniel SA, Ludermir, Teresa B, Schliep, Alexander
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2008
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC2632677/
https://ncbi.nlm.nih.gov/pubmed/19038021
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-497
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