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. 2019 Nov 13;5:41. doi: 10.1038/s41540-019-0115-2

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — A discovered miRNA-mediated disease–disease network by mpDisNet. In this network, 100 clinically reported disease–disease pairs connecting 39 diseases identified by mpDisNet, while they cannot be identified by miRNA-overlap measure, are shown. The node size denotes the degree. The color of nodes is encoded based on the pathobiological categories of diseases. The weight of edges (disease–disease pairs) denote the predicted score by mpDisNet. This image is generated by Gephi (https://gephi.org)