Complexity in genetic networks: topology vs. strength of interactions
Molecular Networks
2013-08-02 v1
Abstract
Genetic regulatory networks are defined by their topology and by a multitude of continuously adjustable parameters. Here we present a class of simple models within which the relative importance of topology vs. interaction strengths becomes a well-posed problem. We find that complexity - the ability of the network to adopt multiple stable states - is dominated by the adjustable parameters. We comment on the implications for real networks and their evolution.
Keywords
Cite
@article{arxiv.1308.0317,
title = {Complexity in genetic networks: topology vs. strength of interactions},
author = {Mikhail Tikhonov and William Bialek},
journal= {arXiv preprint arXiv:1308.0317},
year = {2013}
}