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. 2018 Jun 26;18:151. doi: 10.1186/s12886-018-0821-3

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© The Author(s). 2018

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.

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Fig. 4 — Hierarchical clustering analysis (HCA) by R version 3.4.1. a HCA of all proteins. b HCA of significant proteins. The color gradient illustrates the fold change of protein abundance between the two groups. A clear separation of the protein expression in the two disease states is shown and the separation becomes more apparent when significant proteins been taken into account