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STRONGLY CONNECTED COMPONENTS AND STEADY STATES IN GENE REGULATORY NETWORKS

by MILES, RICHARD BRENT

Abstract (Summary)
The ability to identify the steady states of a Boolean network has been an integral part of research relating to gene regulatory networks, and the roles of positive and negative cycles in the steady states of a network have been well researched. Systems composed of multiple interwoven cycles that exhibit bi-stability and the potential to be switched on and off have been artificially created, and found naturally occurring in biological systems in recent years [1-7]. In this work we explore the possibility that one may be able to predict the number of steady states in a Boolean network by looking at not only the cycles in the network, but also the topology of a directed acyclic graph (DAG) of the strongly connected components (SCC) of the network.
Bibliographical Information:

Advisor:

School:University of Cincinnati

School Location:USA - Ohio

Source Type:Master's Thesis

Keywords:strongly connected components boolean networks gene regulatory network cycles steady states

ISBN:

Date of Publication:01/01/2007

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