Logical Reduction of Biological Networks to Their Most Determinative Components.

ABSTRACT: Boolean networks have been widely used as models for gene regulatory networks, signal transduction networks, or neural networks, among many others. One of the main difficulties in analyzing the dynamics of a Boolean network and its sensitivity to perturbations or mutations is the fact that it grows exponentially with the number of nodes. Therefore, various approaches for simplifying the computations and reducing the network to a subset of relevant nodes have been proposed in the past few years. We consider a recently introduced method for reducing a Boolean network to its most determinative nodes that yield the highest information gain. The determinative power of a node is obtained by a summation of all mutual information quantities over all nodes having the chosen node as a common input,

SUBMITTER: Matache MT 

PROVIDER: S-EPMC4993808 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature