Consensus clustering and functional interpretation of gene-expression data

AUTOR(ES)

Swift, Stephen

FONTE

BioMed Central

RESUMO

Consensus clustering, a new method for analyzing microarray data that takes a consensus set of clusters from various algorithms, is shown to perform better than individual methods alone.

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