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. 2020 May 11;5:38. doi: 10.1038/s41541-020-0187-4

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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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Fig. 9 — Cluster analysis using the partitioning around medoids (PAM) algorithm as a descriptive statistical approach to visualizer overall trends in the ferret study population. Subjects are plotted using a principal component analysis and clusters determined by PAM are indicated by ellipses. a Clustering of the antibody response based on the area under curve (AUC) of the log-transformed antibody titers from D0 until D37. b Clustering of the efficacy parameters based on assays with numerical data output including virus replication, weight, fever, and pathology parameters (excluding ordinal data). Labels indicate vaccine dose with or without adjuvant and animal number. Pl placebo.