There are two primary objectives for modeling of genetic regulatory networks (GRNs): 1) to better understand the gene interactions and relationships on a holistic level and predict the behavior of biological systems;and 2) to design and analyze control strategies for moving the state of a network from an undesirable location to a desirable one. The control can be for the purpose of systems medicine to move the GRN from a diseased state to a nondiseased state or for synthetic biology purposes to tune the parameters of a synthetic circuit to produce complex novel behaviors.
|Number of pages||11|
|Journal||IEEE Signal Processing Magazine|
|State||Published - Jan 2012|