Title: Learning to capture the functions of genetic regulatory networks using graph motifs

Authors: V.K. Murthy; E.V. Krishnamurthy

Addresses: Australian National University, Canberra, ACT 0200, Australia. ' Australian National University, Canberra, ACT 0200, Australia

Abstract: Network motifs have been suggested as a means to understand Systems biological functions. Based on several arguments from computer science, logic, mathematics, chemistry and non-linear dynamics, we explain the difficulties encountered in capturing the evolving dynamical functions carried out by the genetic regulatory networks (GRN), based on the assembly of motifs.

Keywords: adjacency matrices; assortative networks; complex networks; disassortative networks; eigenvalues; Lyapunov exponents; graph motifs; positive entropy; system biology; genetic regulatory networks.

DOI: 10.1504/IJAIP.2012.048146

International Journal of Advanced Intelligence Paradigms, 2012 Vol.4 No.2, pp.185 - 197

Published online: 23 Aug 2014 *

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