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Fig. 4 | BMC Bioinformatics

Fig. 4

From: A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks

Fig. 4

Structural comparison of K562 data derived transcriptional networks. (I). DNaseI-footprinted subnetwork. (II). TFs co association-based subnetwork. Common transcriptional dependencies are highlighted with blue edges and with red edges if the relationship is also included in the final TBN model. Orange bordered nodes are TFs considered only as targets in the TFs co-association network and not as source regulators like in the TBN

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