Fig. 2: Application to linear two and three node models.
a Connections around a Node i in an n-Node Model. Si,b and Si,ex are the basal production and external stimulus terms acting on Node i, respectively. Fii is the self-regulation term; Fij the effect of Node j on Node i and Fji the effect of Node i on Node j. b Example of different signal-to-noise ratio effects on time course data. Ground truth versus estimated edge weights across all 50 random networks and noise levels for data from four different total timepoints (3,7,11,21) for 2 node (c) and 3 node (d) networks. Quadrant shading indicates edge classification. Fraction of network parameters correctly classified in 50 randomly generated 2 node networks (e) and 3 node networks (f) with different noise levels and total timepoints. g Fraction of network parameters correctly classified in 50 randomly generated 3 node networks with dynamic MRA using two sets of perturbation data.
