Consensus clustering and functional interpretation of gene-expression data

Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus set of clusters from a number of clustering methods should improve confidence in gene-expression analysis. Here we introdu...

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Detalles Bibliográficos
Autores principales: Swift, Stephen, Tucker, Allan, Vinciotti, Veronica, Martin, Nigel, Orengo, Christine, Liu, Xiaohui, Kellam, Paul
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC545785/
https://www.ncbi.nlm.nih.gov/pubmed/15535870
http://dx.doi.org/10.1186/gb-2004-5-11-r94

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC545785/
https://www.ncbi.nlm.nih.gov/pubmed/15535870
http://dx.doi.org/10.1186/gb-2004-5-11-r94

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