Power graph compression reveals dominant relationships in genetic transcription networks
- PMID: 23963601
- DOI: 10.1039/c3mb70236g
Power graph compression reveals dominant relationships in genetic transcription networks
Abstract
We introduce a framework for the discovery of dominant relationship patterns in transcription networks, by compressing the network into a power graph with overlapping power nodes. Our application of this approach to the transcription networks of S. cerevisiae and E. coli, paired with GO term enrichment analysis, provides a highly informative overview of the most prominent relationships in the gene regulatory networks of these two organisms.
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