Abstract
Summary: We describe here an exploratory tool, called FunNet, which implements an original systems biology approach, aiming to improve the biological relevance of the modular interaction patterns identified in transcriptional co-expression networks. A suitable analytical model, involving two abstraction layers, has been devised to relate expression profiles to the knowledge on transcripts' biological roles, extracted from genomic databases, into a comprehensive exploratory framework. This approach has been implemented into a user-friendly web tool to promote its open use by the community. © The Author 2008. Published by Oxford University Press. All rights reserved.
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CITATION STYLE
Prifti, E., Zucker, J. D., Clement, K., & Henegar, C. (2008). FunNet: An integrative tool for exploring transcriptional interactions. Bioinformatics, 24(22), 2636–2638. https://doi.org/10.1093/bioinformatics/btn492
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