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Figure 2 | BMC Systems Biology

Figure 2

From: GraphAlignment: Bayesian pairwise alignment of biological networks

Figure 2

Matrix of vertex similarities Θ (i,i) (top) and matrix of correlations between the edge weights of vertices i in G and iin G(correlation of i’th column of A and i’th column of A′,cor(i,i), bottom) for the scenario (iii) and network size N = 200. The optimal alignment of the two networks aligns the n-th vertex of G to the n-th vertex of G. Half of the diagonal terms represents truly orthologous vertices with both vertex and topological similarity (highlighted in green). The other 10% of vertices i in G (highlighted in blue) have two possible vertex similar partners in network G, one of them with a strong topological match (the true ortholog) and the other with no match (the spurious ortholog). Next, there are 20% of vertices with no vertex similarity but strong topological similarity (analogs, highlighted in red). Scattered off-diagonal terms in θ model spurious weak vertex similarities in the data.

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