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Figure 3 | BMC Bioinformatics

Figure 3

From: Bayesian probabilistic network modeling from multiple independent replicates

Figure 3

Study 3 undirected edge posterior probabilities. For the third 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(3), and for the individual replicates, R 1 ( 3 ) , R 2 ( 3 ) and R 3 ( 3 ) . Blocks of vertices { p 1 ( 3 ) , p 2 ( 3 ) , p 3 ( 3 ) , p 4 ( 3 ) } , { p 5 ( 3 ) , p 6 ( 3 ) , p 7 ( 3 ) , p 8 ( 3 ) } , and { p 9 ( 3 ) , p 10 ( 3 ) } are highly correlated, ρ = 0.94, by the generating signal (3). In the diagrams, proteins p 1 ( 3 ) ,, p 10 ( 3 ) are represented by A, . . . , J for ease of reading. The composite has high posterior probabilities for all edges with at least moderate partial correlations. The composite analysis outperforms at least two of the single replicate analyses.

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