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. 2019 Jun 28;10:2892. doi: 10.1038/s41467-019-10769-x

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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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Fig. 4 — UC1 transcriptomic profile is enriched for the inflammatory signature. a Heatmap of DEGs between UC1 and UC2 patients, including all genes in the human data set. Only the selected genes are shown, grouped by functional categories and respective to the expression level. b t-SNE overlay of the expression level of selected DEGs between UC1 and UC2, showing inter-patient variation. c Venn diagram of the top GO, KEGG, and cell-enriched terms identified from the DEGs between UC1 and UC2. d Top 20 genes ranked by area under the curve (AUC) for specificity and sensitivity to distinguish UC1 from UC2, among the list of DEGs (left). Classification was carried out using logistic regression. The fitted values of prediction are shown for selected genes (right)