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. 2018 Jul 19;8:10907. doi: 10.1038/s41598-018-29367-w

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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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Panel a, Biplot representation of PDF of the control scores, estimated with KDE; Panel b, Biplot representation of the PDF of the responder scores, estimated with KDE. The loadings of the SCA Control Model are plotted as vectors: their length indicates the contribution of each marker to the cell-to-cell variability; the mutual directions suggest a positive (same direction) or negative (opposite direction) co-expression. An angle of 90 between the direction of the vectors indicates no co-expression.