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. 2021 Jan 19;18:5. doi: 10.1186/s12014-021-09311-3

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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. 4 — 16 proteins with statistically significant (BH-FDR < 0.05) Spearman correlation of study site effect in the two sets of samples from the translational study are predominantly those that achieve higher statistical significance for the main effect of time in the designed study of blood processing factors; additionally, they also, to a smaller degree, tend to demonstrate greater significance for the effects of interaction between time and temperature and temperature and heparin/EDTA type of anticoagulant. Left panel represents ranks of p-values for those 16 proteins across p-values of all proteins for the effect of corresponding study factor—values close to zero correspond to smaller, more significant, p-values; right panel summarizes each scatter on the left as one-sided Wilcoxon p-value representing probability of obtaining sum of ranks lower than observed value by chance