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. 2020 Jul 21;10:12049. doi: 10.1038/s41598-020-67956-w

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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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Schematic illustrating the number of samples and the computational tools used in analyses focusing on (a) comparing the inclusion of data from across multiple tissue compartments into data-driven models, and (b) comparing expression of proteins in the same patients over time. P, progressor; NP, non-progressor; BAL, bronchoalveolar lavage; LASSO, least absolute shrinkage and selection operator; PLSDA, partial least squares discriminant analysis; VIP, variable importance in projection; DAVID, database for annotation, visualization, and integrated discovery; PC1, principal component 1; Supp, supplemental.