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. 2020 Jul 7;10:11162. doi: 10.1038/s41598-020-66630-5

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© The Author(s) 2020

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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Network entropy of lung MPCs compared to other cell populations of known differentiation status. Single cell sequencing data for human embryonic stem cells (hESC), neural progenitor cells (NPC), and differentiated cells (Diff) were from the gene expression omnibus (https://www.ncbi.nlm.nih.gov/geo/). Network entropy was calculated for cells from these datasets and compared to IPF and control MPCs considered as a single group (Lung MPC).