Multimodality as a criterion for feature selection in unsupervised analysis of gene expression data

Abstract

One important way that gene expression data are often analysed in an unsupervised way is to cluster the samples without reference to any annotations about them. Before clustering, the data are often subjected to a feature selection preprocessing step, in which a subset of genes are chosen for further analysis. We examine the use of multimodality as a… (More)
DOI: 10.1109/BIBE.2005.42

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