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. 2018 Feb 15;8:3087. doi: 10.1038/s41598-018-21222-2

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© The Author(s) 2018

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

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Association of kinetic families with a direct biological measurement. (a) The relationship between kinetic family abundances and IP-10 plasma concentration was analyzed using linear regression. Iterative linear regressions were generated until all coefficients had a p-value ≤0.05. At each iteration, the coefficient having the highest p-value higher than 0.05 was removed. The differences between predicted vs. observed concentrations of IP-10 are shown. (b) The ELISA measured and linear regression predicted IP-10 concentrations are shown in a bi-plot representation. The Pearson correlation coefficient and p-value are indicated. (c) The linear regression coefficients of kinetic families III and VI, which are necessary and sufficient to predict IP-10 concentrations, are displayed along with their p-values.