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. 2020 Aug 12;10:13585. doi: 10.1038/s41598-020-70239-z

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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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Workflow of ANUBIX. The algorithm assesses the significance of the network crosstalk between a query gene set and a pathway. A null distribution is generated for each pathway to model the expected crosstalk of random gene sets of the same size as the original gene set. This distribution is then fit to a beta-binomial distribution to calculate the probability of reaching at least the number of observed links, or more, between the query gene set and the pathway. Software: Inkscape version 0.91 https://inkscape.org.