Comprehensive analysis of multiple microarray datasets by binarization of consensus partition matrix

Abstract

Clustering methods have been increasingly applied over gene expression datasets. Different results are obtained when different clustering methods are applied over the same dataset as well as when the same set of genes is clustered in different microarray datasets. Most approaches cluster genes' profiles from only one dataset, either by a single method or an… (More)
DOI: 10.1109/MLSP.2012.6349787

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