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Figure 6 | EURASIP Journal on Bioinformatics and Systems Biology

Figure 6

From: Modelling Transcriptional Regulation with a Mixture of Factor Analyzers and Variational Bayesian Expectation Maximization

Figure 6

TF-gene interactions reconstructed with MFA and BFA from the synthetic data. The figure shows TF-gene interactions predicted with the proposed MFA-VBEM approach, according to (24), and the BFA-Gibbs method, according to (A.32), using the noisy synthetic gene expression profiles of Figure 3, and the synthetic TF binding data sets shown in Figures 4(c), 4(d). (a), (c) correspond to the noisy TF binding data shown in Figure 4(c). (b), (d) correspond to the less noisy TF binding data, shown in Figure 4(d). (a), (b) show the TF-gene interaction strengths predicted with the MFA-VBEM approach. (c), (d) show the corresponding results obtained with the BFA-Gibbs method. The grey shading indicates the predicted strength of the interactions, with white corresponding to the absence of an interaction, and black corresponding to the presence of an interaction. The horizontal axis in each graph represents the 9 TFs that are involved in the regulation of the 90 genes; the latter are represented by the vertical axis of each graph. In each panel, from top to bottom, the three rows correspond to gene expression profile lengths of 10, 20 and 40. The three columns correspond to the three noise levels of the gene expression profiles. From left to right: and . See Section 4.1 for further details.

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