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. 2021 Nov 22;12:733171. doi: 10.3389/fimmu.2021.733171

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Copyright © 2021 Zhang, Feng, Tam, Wang and Feng

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Constructing weighted co-expression gene modules from nasopharyngeal specimen and pulmonary tissue in COVID-19. (A, F) Hierarchical clustering of genes in nasal swab and lung tissue. The coloring samples are the outliers due to the numerous missing or zero-variance expression genes. (B, G) Analysis of network topology for various soft-thresholding powers. Left panel shows the index of scale-free topology fit (y-axis) as a function of the soft-thresholding power (x-axis). Right panel shows the value of mean connectivity (y-axis) as a function of soft-thresholding power (x-axis). (C, H) A log-log plot of connectivity of signed adjacency matrices. The x-axis stands for the logarithm of entire network connectivity, while y-axis is logarithm of related frequency distribution (D, I) Hierarchical clustering and merging of close-distance gene patterns. (E, J) A dendrogram composed of relationships among clustered gene modules with high adjacency.