| Literature DB >> 18799481 |
Edi Prifti1, Jean-Daniel Zucker, Karine Clement, Corneliu Henegar.
Abstract
UNLABELLED: 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. AVAILABILITY: http://www.funnet.infoMesh：
Year: 2008 PMID： 18799481 DOI： 10.1093/bioinformatics/btn492
Source DB: PubMed Journal: Bioinformatics ISSN： 1367-4803 Impact factor: 6.937