Figure 5:
Pairwise Between MPO Layer Jaccard Netstats: Jaccard similarity coefficients are calculated for the edges of each network with respect to each other network layer in the multiplex. Overall, there is little overlap in edges between network layers, illustrating the heterogeneity of information encoded within each layer. The layers that contain the greatest amount of jaccard similarity are PP and PX, representing protein–protein interaction and predictive expression, respectively.

Pairwise Between MPO Layer Jaccard Netstats: Jaccard similarity coefficients are calculated for the edges of each network with respect to each other network layer in the multiplex. Overall, there is little overlap in edges between network layers, illustrating the heterogeneity of information encoded within each layer. The layers that contain the greatest amount of jaccard similarity are PP and PX, representing protein–protein interaction and predictive expression, respectively.

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