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. 2017 Oct 19;12(10):e0186004. doi: 10.1371/journal.pone.0186004

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© 2017 Deeter et al

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Fig 7 — (A) The adjacency matrix for a consensus network created from 10 separate Bayesian networks. (B) The graph of the consensus network with a resolution of 0.1. (C) The graph of the consensus network with a resolution of 0.8. The resolution determines which edges to include by dividing the edge weight by the largest weight of any single edge in the network and removing those which do not exceed the cut-off.