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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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Analysis of why certain pathways are very prone to produce false positives. 10,000 random gene sets of 110 genes were tested independently for crosstalk enrichment against the KEGG pathways. (A) The top ten pathways that produce the highest false positive rate (FPR) with BinoX, and the FPR obtained with other methods. (B) Fraction of intralinks for each of the KEGG pathways against FPR. The size of the point reflects the total number of links in each pathway. Software: R version 3.4.3 https://www.r-project.org/.