Clustering of gene expression profiles: creating initialization-independent clusterings by eliminating unstable genes

Clustering is an important approach in the analysis of biological data, and often a first step to identify interesting patterns of coexpression in gene expression data. Because of the high complexity and diversity of gene expression data, many genes cannot be easily assigned to a cluster, but even i...

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Bibliographic Details
Main Authors: De Mulder Wim, Kuiper Martin, Boel René
Format: Article
Language:English
Published: De Gruyter 2010-12-01
Series:Journal of Integrative Bioinformatics
Online Access:https://doi.org/10.1515/jib-2010-134