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. 2018 Dec 6;50(12):161. doi: 10.1038/s12276-018-0188-9

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© The Author(s) 2018

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. 1 — One hundred ninety-three protein-coding genes were retrieved and used for gene ontology and pathway-based clustering using ClueGO in CytoScape. a shows the most significant biological process (BP) categories and c shows the most significant pathways based on KEGG annotations associated with the protein-coding genes. b, d Only the representative terms for each cluster as selected by ClueGo analysis based on the total number of genes and %Genes/Term are reported. The total number of genes and %Genes/Term are listed next to the representative term. The P values for each group are denoted by *P value < 0.05) and **P value < 0.01)