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. 2018 Jun 7;19:217. doi: 10.1186/s12859-018-2190-6

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© The Author(s). 2018

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 2 — Comparison of enriched pathways a The significantly enriched experimental sets and canonical pathways in mouse endothelial cells were inferred by HeteroPath, GSEA, and PGSEA. Top 10 enrichment scores, p-values, numbers of significant gene sets, and percentage of unique gene sets are shown. b The significantly enriched experimental sets and canonical pathways in mouse neurons were inferred by HeteroPath, GSEA, and PGSEA. Top 10 enrichment scores, p-values, numbers of significant gene sets, and percentage of unique gene sets are shown. c ROC curves for the HeteroPath algorithm using the endothelial cell dataset. fc = fold-change; AUC= area under curve. d ROC curves for the HeteroPath algorithm using the neurons dataset fc = fold-change; AUC= area under curve