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. 2020 Mar 3;10:3901. doi: 10.1038/s41598-020-60737-5

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© The Author(s) 2020

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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The Figure depicts an example of a heterogeneous network. The heterogeneous network contains different types (or colours) of nodes and different kinds of edge. In the given network, different node colours represent different medical data such as genes, diseases, anatomies, biological processes, molecular functions, cellular components, and different line styles represent different edge types.