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

Krishnamurthy, E.Vikram; Murthy, Venu


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.

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: International Journal of Advanced Intelligence Paradigms
DOI: 10.1504/IJAIP.2012.048146


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