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.
International Journal of Advanced Intelligence Paradigms, 2012 Vol.4 No.2, pp.185 - 197
Published online: 23 Aug 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article