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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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General ECLIPSE model built on all non-normal cells of the 11 asthma patients. A density estimation of the cell scores distribution is shown, where density is quantified from low (blue) to high intensity (red). Multiple cell sub-populations with different intensities can be observed, mainly differing in the co-expressions of CD193, CD14, CD123, CRTH2 (along the horizontal axis), and by simultaneous positive co-expression of CD4, CD3 with a negative co-expression of CD16 (on the vertical axis). Both axes report the variance explained by each component of the two PCs in the SCA model for all the patients. The loading vectors greatly differ from the loadings of the Control Model because they explain the variability of only the not-normal cells.