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. 2020 Jul 17;2:21. doi: 10.1186/s42238-020-00028-y

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© The Author(s) 2020

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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Fig. 3 — Associations between effects and flavours. A. Significant negative Spearman correlations between effects and flavours. B. Significant positive Spearman correlations between effects and flavours. In both panels significant correlations are indicated using a color scale. Both panels were thresholded at p < 0.05, FDR-corrected). C. Both positive (Panel A) and negative (Panel B) values grouped by hierarchical clustering of the effects and flavours according to their correlations. Hierarchical clustering was determined by the standard method included in Scipy (agglomerative clustering based on the Euclidean distance)