Learning to capture the functions of genetic regulatory networks using graph motifs
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.
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|Source:||International Journal of Advanced Intelligence Paradigms|
|01_Krishnamurthy_Learning_to_capture_the_2012.pdf||202.3 kB||Adobe PDF||Request a copy|
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