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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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L-HetNetAligner Algorithm: Construction of the Alignment Graph from the Input Graphs. Alignment Example: The Algorithm receives as input two heterogeneous networks and a set of similarity relationships among nodes of networks (green dashed lines). First, the algorithm builds the nodes of the heterogeneous alignment graph. Then edges are added on the basis of the analysis of input networks. The heterogeneous alignment graph has nodes coloured while edges are weighted and with a single colour.