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. 2016 Jan 19;17:42. doi: 10.1186/s12859-016-0886-z

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© Muraro and Simmons. 2016

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 5 — Best non-overlapping modules found in unaffected tissues (size 1 0). Best non-overlapping modules found after 30 optimisation runs among subnetworks of size 10 and with differential expression evaluated on unaffected tissues. The modules are differentially expressed either in CD or UC. The black line indicates the boundary between nodes associated with CD and nodes associated with UC. Node colour is proportional to the node p-value in CD (a) and UC (b). Node size is proportional to its identification frequency when applying our evolutionary algorithm by varying network size (see section Results and discussion in the main text)