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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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Module-based combinations for the stratification of lung cancer cell lines. (a) The lung cancer cell lines were clustered according to the module eigengenes of the five lineage-associated modules. Hierarchical clustering was performed using Ward’s method with Pearson correlation. The representative markers in the module are green. (b) TCGA-LUAD cases were classified according to the module scores of the five modules. The asterisk represents the cluster (75 cases are indicated by a dashed blue line) used in c. Hierarchical clustering of the module scores was performed using Ward’s method with Pearson correlation. (c) Kaplan-Meier analysis of the TCGA-LUAD cases divided into two groups according to the clustering of the module scores.