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. 2019 Feb 1;2:48. doi: 10.1038/s42003-019-0296-7

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© The Author(s) 2019

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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Fig. 5 — Multivariable analysis of the dataset obtained through HD-DE optimization in vitro. a The full test library of formulations obtained from all 3 runs of the HD-DE optimization performed on TF-1 cells (excluding G(1)) was used for post hoc analysis to elucidate the main effects, quadratic effects, and 2-factor interactions. The logworth statistical significance of the regression coefficient estimates are presented in a plot where the significant effects (false discovery rate (FDR)-corrected p-values <0.05) are colored while non-significant elements are grayed. b The data points that have significant effects (colored data points from (a)) are labeled with the corresponding factor or interaction. c The full test library of formulations obtained from the HD-DE optimization performed on T-cells (excluding G(1)) was used for post hoc analysis to elucidate the main effects, quadratic effects, and 2-factor interactions. The FDR-statistically significant effects (expressed as logworth p-values) are colored while non-significant elements are grayed. d The data points that have statistically significant effects (colored data points from (c)) are labeled with the corresponding factor or interaction. The square term suggest either a supra-additive relationship (positive term) between effect and dose or a saturation (negative term), and the cross-product terms refer to 2-factor interactions. (See Supplementary Table 2 for factor legend)