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. 2020 Apr 3;10:5878. doi: 10.1038/s41598-020-62804-3

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© The Author(s) 2020

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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Principal component (PC) analysis and auto-correlations of whole transcriptome attractor and non-attractor genes. (A) Gene expression trajectory of whole transcriptome (black), attractor (red), non-attractor (blue), and no response genes (brown), obtained by taking the average trajectories of 3 replicates, presented on first 2 principal components space. Right panel indicates non-attractor trajectory on a larger scale. (B) Temporal correlation of whole transcriptome (black), attractor (red), and non-attractor (blue) genes using Pearson (top left panel), Spearman (top right panel), Biweight midcorrelation (bottom left panel) and Mutual Information-based (bottom right panel) correlation metrics.