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. 2018 Oct 26;74(2):132–140. doi: 10.1136/thoraxjnl-2018-211929

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© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Flow chart of methodologies used in this study. GSE47460 was divided into two non-overlapping datasets for cross-validated differential gene expression analysis. This was followed by applying a consensus WGCNA on the two IPF groups using the differentially expressed genes as input. Identified modules were then analysed by association with lung function and enrichment analyses for biological function and transcription factor regulators. Samples in GSE72967 were matched to the IPF groups and correlated with the module eigengene to determine association with that module. GO, gene ontology; IPF, idiopathic pulmonary fibrosis; WGCNA, weighted gene coexpression network analysis.