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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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Bibliographic Details
Published in:Genome Biol
Main Authors: Swift, Stephen, Tucker, Allan, Vinciotti, Veronica, Martin, Nigel, Orengo, Christine, Liu, Xiaohui, Kellam, Paul
Format: Artigo
Language:Inglês
Published: BMC 2004
Subjects:
Online Access:https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC545785/
https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/15535870/
https://ncbi.nlm.nih.govhttps://doi.org/10.1186/gb-2004-5-11-r94
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