A prediction-based resampling method for estimating the number of clusters in a dataset

AUTOR(ES)

Dudoit, Sandrine

FONTE

BioMed Central

RESUMO

An important statistical problem associated with tumor classification is the identification of new tumor classes using gene-expression profiles. One aspect of this clustering problem is estimating the number of clusters in a dataset. A new prediction-based resampling method, Clest, was developed to address this problem.

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