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. 2021 Oct 26;16:109. doi: 10.1186/s13020-021-00521-3

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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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 7 — Integrated network analysis of multi-omics data. Integrated metabolite-gene network for CCQS (A) and QSBS Syndrome (B). Circles are feature targets of TCM formulae, diamonds are DPs, hexagons are metabolites. Pink nodes are molecules related to both Syndromes, blue and orange nodes are molecules related to CCQS and QSBS, respectively. (C) Common pathways enriched with molecules in integrated metabolite-gene networks of CCQS and QSBS. (D) Pathways only enriched with molecules in integrated metabolite-gene networks of CCQS. (E) Pathways only enriched with molecules in integrated metabolite-gene networks of QSBS. Pathways within the rectangles were also identified only by metabolomics or proteomics data