Title: Extracting expression modules from perturbational gene expression compendia
Authors: Maere, Steven ×
Van Dijck, Patrick
Kuiper, Martin #
Issue Date: Apr-2008
Publisher: BioMed Central Ltd.
Series Title: BMC Systems Biology vol:2
Article number: 33
Abstract: Background: Compendia of gene expression profiles under chemical and genetic perturbations constitute an invaluable resource from a systems biology perspective. However, the perturbational nature of such data imposes specific challenges on the computational methods used to analyze them. In particular, traditional clustering algorithms have difficulties in handling one of the prominent features of perturbational compendia, namely partial coexpression relationships between genes. Biclustering methods on the other hand are specifically designed to capture such partial coexpression patterns, but they show a variety of other drawbacks. For instance, some biclustering methods are less suited to identify overlapping biclusters, while others generate highly redundant biclusters. Also, none of the existing biclustering tools takes advantage of the staple of perturbational expression data analysis: the identification of differentially expressed genes.
ISSN: 1752-0509
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Molecular Microbiology and Biotechnology Section - miscellaneous
× corresponding author
# (joint) last author

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