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Biological network analysis has become a central component of computational and systems biology. Because such analysis provides a unifying language to describe relations within complex systems, it has played an increasingly important role in understanding physiological function. Significant efforts have focused on analyzing and inferring the topologyandstructureofcellularnetworksandonrelatingthemtocellularfunctionand organization. However, much of this work has taken a static view of cellulardoi:10.1142/9789812836939_0017 fatcat:egbrnhzupfao5pwkaabhvisqsq