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. 2019 Nov 6;20:550. doi: 10.1186/s12859-019-3107-8

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© The Author(s) 2019

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 — Robustness of the topological results. Barplots in panels (a) and (b) illustrate the percentage overlap of hubs, MDS and MCDS in the DESeq network with the other three (edgeR (blue), voom (red) and VST (green)) networks for the LIHC (a) and BRCA (b) datasets, respectively. Boxplots in panels (a) and (b) show the overlap of the three mentioned topological features of DESeq with 100 disease-specific networks derived of 11000 and 14000 randomly genes that were selected genes from the LIHC and BRCA datasets, respectively