proceeding Papers Investigating cell criticality


Abstract

Random Boolean networks provide a way to give a precise meaning to the notion that living beings are in a critical state. Some phenomena which are observed in real biological systems (distribution of avalanches in gene knock-out experiments) can be modeled using random Boolean networks, and the results can be analytically proven to depend upon the Derrida parameter, which also determines whether the network is critical. By comparing observed and simulated data one can then draw inferences about the criticality of biological cells, although with some care because of the limited number of experimental observations. The relationship between the criticality of a single network and that of a set of interacting networks, which simulate a tissue or a bacterial colony, is also analyzed by computer simulations.



Paper Details

Authors

R. Serra,  M. Villani,  C. Damiani,  A. Graudenzi,  P. Ingrami,  A. Colacci

Publication

Towards a general theory of emergence

Language

English
.