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. 2018 May 22;8:8003. doi: 10.1038/s41598-018-26172-3

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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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Multivariate data analysis: Observations (n = 1391) for 13 measures of T cell responses ±sAgs projected on to the first two principal components (A and B) and linear discriminants (C). (A) PCA bi-plot projecting observations from sAgs-treated (closed symbols) and untreated (open symbols) samples; lines indicate the contribution of each measure to the two axes. (B) PCA bi-plot projecting the same observations according to the visual calcium classification. (C) LDA assessing calcium signatures separation (‘Flat’ blue, ‘transient’ red, ‘low’ green, ‘high’ purple): Bi-plot of the first two LD scores identifying the calcium profile groups with 95% confidence ellipses for individual groups (top panel); density plots of the first linear discriminate (middle panel) and class prediction plots (bottom panel) demonstrate the reliability of classification to the ‘flat’ and ‘high’ categories of calcium signatures; percentage of predictions that agree with visual classification is given.