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- Title
Clustering cancer gene expression data: a comparative study.
- Authors
de Souto, Marcilio C P; Costa, Ivan G; de Araujo, Daniel S A; Ludermir, Teresa B; Schliep, Alexander
- Abstract
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 preference for using "classic" clustering methods. There have been no studies thus far performing a large-scale evaluation of different clustering methods in this context.
- Publication
BMC bioinformatics, 2008, Vol 9, p497
- ISSN
1471-2105
- Publication type
Journal Article
- DOI
10.1186/1471-2105-9-497