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Figure 1 | BMC Bioinformatics

Figure 1

From: Bayesian probabilistic network modeling from multiple independent replicates

Figure 1

Study 1 undirected edge posterior probabilities. For the first 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(1), and for the individual replicates, R 1 ( 1 ) , R 2 ( 1 ) and R 3 ( 1 ) . Blocks of vertices { p 1 ( 1 ) , p 2 ( 1 ) , p 3 ( 1 ) } , p 4 ( 1 ) , p 5 ( 1 ) , p 6 ( 1 ) }, { p 7 ( 1 ) , p 8 ( 1 ) , p 9 ( 1 ) } , and { p 10 ( 1 ) , p 11 ( 1 ) , p 12 ( 1 ) } are highly correlated, ρ = 0.94, by the generating signal (3). In the diagrams, proteins p 1 ( 1 ) , , p 12 ( 1 ) are represented by A, . . . , L for ease of reading. In all five figures, red, blue and brown edges signify edge probabilities of greater than 0.9, between 0.8 and 0.9, and from 0.5 to 0.8, respectively. The composite has high posterior probabilities for all edges with at least moderate network partial correlations. One of the three reps, R 2 ( 1 ) , misidentifies a small number of edges.

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