Figure 5.
Final inferred GRN (Afinal) obtained as a result of RGBM Algorithm (Algorithm 2) on Network 1 for DREAM4 challenge. The final inferred GRN has 1144 edges between 100 nodes whose edge weights are >3.3 × 10−15 (machine precision). Afinal is much more sparse in comparison to A1 which is obtained after initial GBM modeling. In network Afinal, we have greatly reduced the number of falsely identified transcriptional regulations in A1. We also identified 4 dense communities or clusters in inferred network A1 using kernel spectral clustering (71). Nodes belonging to a cluster and edges originating from the nodes in these clusters have the same color. The size of each node is proportional to its out-degree. We observe that the communities present in Afinal have fewer edges and thus have much lower density than the clusters in A1.