Reverse Engineering Sparse Gene Regulatory Networks Using Cubature Kalman Filter and Compressed Sensing
Figure 3
(a), (b), and (c) False alarm errors, Hamming distance, and true connections. The synthetic networks consist of 8 vertices and 20 edges. The metric is normalized over the number of edges. CKFS gives lower error and predicts more true connections with the increase in the sample size of data.
