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Figure 4 | BMC Bioinformatics

Figure 4

From: Bayesian probabilistic network modeling from multiple independent replicates

Figure 4

Study 4 undirected edge posterior probabilities. For the fourth study, (a), (b), (c) and (d) are representations of the undirected edge posterior probabilities. These are computed for the composite of all the replicates, C(4), and for the individual replicates, R 1 ( 4 ) , R 2 ( 4 ) and R 3 ( 4 ) . Blocks of vertices { p 1 ( 4 ) , p 2 ( 4 ) , p 3 ( 4 ) } , { p 4 ( 4 ) , p 5 ( 4 ) , p 6 ( 4 ) } , { p 7 ( 4 ) , p 8 ( 4 ) , p 9 ( 4 ) } , and { p 10 ( 4 ) , p 11 ( 4 ) , p 12 ( 4 ) } are signal correlated with ρ values of 0.7, 0.6, 0.6 and 0.5, respectively for each block (3). In the diagrams proteins p 1 ( 4 ) ,, p 12 ( 4 ) are represented by A, . . . , L for ease of reading. With this study's smaller partial correlations within blocks, the network signal is not recovered as well as in the three previous studies. Still, the composite model outperforms each of the individual replicates' models.

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