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CMSB
2006
Springer

Randomization and Feedback Properties of Directed Graphs Inspired by Gene Networks

10 years 5 months ago
Randomization and Feedback Properties of Directed Graphs Inspired by Gene Networks
Having in mind the large-scale analysis of gene regulatory networks, we review a graph decimation algorithm, called "leaf-removal", which can be used to evaluate the feedback in a random graph ensemble. In doing this, we consider the possibility of analyzing networks where the diagonal of the adjacency matrix is structured, that is, has a fixed number of nonzero entries. We test these ideas on a network model with fixed degree, using both numerical and analytical calculations. Our results are the following. First, the leaf-removal behavior for large system size enables to distinguish between different regimes of feedback. We show their relations and the connection with the onset of complexity in the graph. Second, the influence of the diagonal structure on this behavior can be relevant.
M. Cosentino Lagomarsino, P. Jona, B. Bassetti
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where CMSB
Authors M. Cosentino Lagomarsino, P. Jona, B. Bassetti
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