Fig. 6
From: A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
Overview of the Data Fusion approach. The procedure is structured on three main parts defined as (i) the reconstruction of the transcriptional network and its Bayesian modelling (upper panel), (ii) the model integration with transcriptomics data for its probabilistic assessment through the hybrid structure learning algorithm (central panel), and (iii) the consensus definition process aimed at identifying high confidence interactions among all learned transcriptional dependencies