Entropy of complex relevant components of Boolean networks

Details Entropy of complex relevant components of Boolean networks Entropy of complex relevant components of Boolean networks

2007-08-11

arxiv.org/abs/0708.1538v1

Physics

Condensed Matter

Disordered Systems and Neural Networks

8 pages, 6 figures

Scientific paper

10.1103/PhysRevE.76.036115

Boolean network models of strongly connected modules are capable of capturing the high regulatory complexity of many biological gene regulatory circuits. We study numerically the previously introduced basin entropy, a parameter for the dynamical uncertainty or information storage capacity of a network as well as the average transient time in random relevant components as a function of their connectivity. We also demonstrate that basin entropy can be estimated from time-series data and is therefore also applicable to non-deterministic networks models.

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