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Integrative Analysis of Many Weighted Co-Expression Networks Using Tensor Computation

Figure 9

Reconstruction of transcriptional regulatory networks.

(A) Three types of possible transcription networks that could explain a second-order correlation between two transcriptional modules. Given two modules controlled by two transcription factors, TF1 and TF2, respectively, the coactivation of the two modules implies cooperativity between TF1 and TF2. This relationship may be caused by a type I network in which the activities of TF1 and TF2 are controlled by common transcription factor(s) TF3; or a type II network, in which the activity of TF2 is controlled by TF1 or vice versa; or a type III network, in which TF1 and TF2 interact at the protein level. (B) A regulatory network reconstructed on the basis of the derived transcription networks. Green circles denote transcription factors, yellow boxes are transcription modules defined by RHSs (detailed information on these RHSs provided in Text S1), blue ovals denote protein complexes represented by the RHSs, and blue boxes highlight the biological processes in which the modules are involved.

Figure 9

doi: https://doi.org/10.1371/journal.pcbi.1001106.g009