期刊
BIOINFORMATICS
卷 24, 期 22, 页码 2636-2638出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btn492
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资金
- European Community
- 'Association de Langue Francaise pour l'Etude du Diabete et des Maladies Metaboliques' (ALFEDIAM)
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.
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