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. 2019 Mar 26;9:5154. doi: 10.1038/s41598-019-41625-z

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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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Proteins and mRNA exhibit differential expression among the survival-related patient clusters. Two-way hierarchical clustering of the transcripts (A) and proteins (B) differentially expressed between the survival-related patient clusters as per SAM analysis. Only highly significant transcripts and proteins shown (q value below 0.0005). Red: high expression. Blue: low expression. Patient clusters coloured as in Fig. 2B. Additional annotations (coloured bars at top) indicate selected patient/sample parameters: Lund genomics cluster²³, TCGA genomics cluster, BRAF status, Melanoma type, disease stage. Additional annotations (coloured bars on the left, orange or green) indicate that a given transcript or protein is significantly up- or down regulated for a given cluster.