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. 2019 Nov 12;10:1119. doi: 10.3389/fgene.2019.01119

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Copyright © 2019 Li, Liu, Chen, Gao, Wang, Ma, Zhang, Zhuang, Yao and Sun

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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Identification of modules associated with the clinical status of breast cancer in the WGCNA. (A) Analysis of the scale-free fit index and the mean connectivity for various soft-thresholding powers. (B) Dendrogram of all differentially expressed genes clustered based on a dissimilarity measure (1-TOM). (C) Heatmap of the correlation between module Eigengenes and clinical status (normal and tumor), number after the module name is the number of genes in the module. (D) Checking the scale free topology when β = 4. K represents the logarithm of whole network connectivity, p(k) represents the logarithm of the corresponding frequency distribution. K is negatively correlated with p(k) (correlation coefficient = 0.84), which represents scale-free topology.