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. 2021 Oct 6;11:19839. doi: 10.1038/s41598-021-99399-2

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© The Author(s) 2021

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Comparison of performance of DrugMerge and the CMAP algorithm across the four benchmark diseases. For Colorectal Cancer and Prostate Cancer both methods use CMAP data. For Asthma and Rheumatoid Artrithis DrugMerge uses GEO data. The bars represent the $- l o g_{10} (p value)$ with respect to the precision@20 (red), and the RHR (light blu). The numbers on the top of the bars show the absolute values of precision@20 or RHR. The dotted red line represents the limit of significance ( $- l o g_{10} (0.05)$ ). All the bars above the dotted line show a significant p-value. The plot has been generated by the ggplot2⁸¹ R package.