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. 2016 Jan 21;9:5. doi: 10.1186/s12920-016-0164-y

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© Dumitriu et al. 2016

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. 4 — MSigDB canonical pathway enrichment analysis results. Functional enrichment analysis was performed for a 4 subsets of the significant genes obtained in the proteomics study (top 25, 50, 100, all 283 genes with multiple comparison corrected significance) and b 7 subsets of the significant genes from the RNA-Seq study (top 25, 50, 100, 350, 600, 850, all 1095 genes with multiple comparison corrected significance). The top 15 enriched MSigDB Canonical Pathways for RNA-Seq and MS3 proteomics results are displayed in panels a and b, respectively. The presented top results are those with the smallest p-values in any of the subsets of genes used. DE = differentially expressed