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. 2019 Dec 20;9:19529. doi: 10.1038/s41598-019-55692-9

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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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Transcriptional trends of lung adenocarcinoma based on gene co-expression networks. (a) A simple workflow of the WGCNA analysis. (b) The heat map of the module activities in the lung cancer cell lines. The eigengenes of the modules are represented as the module activities. The hierarchical clustering was conducted using Ward’s method with Pearson correlation. For the selected modules, the clustering analysis is provided in Fig. 6a.