Fig. 1
From: PFBNet: a priori-fused boosting method for gene regulatory network inference
The schematic diagram of PFBNet. PFBNet recurrently selects one gene as the target gene, and construct the feature selection subproblem that the information from previous time points is fused; then, the non-linear model of boosting is applied to solve the subproblem; subsequently, the prior information is fused into the model and the GRN is inferred according to the global ranking of the confidences of the regulation relationships