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. 2015 Jan 30;6(7):5118–5133. doi: 10.18632/oncotarget.3007

Figure 1. Melanoma subtypes identification by class discovery in the CCLE dataset.

Figure 1

(A) Workflow of bioinformatics analysis. (B) RTKs expression of 58 melanoma cell lines grouped by hierarchical clustering. Samples are separated in two major clusters named EGFRHIGH/ERBB3LOW (blue) and EGFRLOW/ERBB3HIGH (red). Black bars highlight EGFR and ERBB3 probe sets. (C) Hierarchically clustered heatmap showing the expression of MPSE genes in the 47 samples with a defined phenotype: light green, Invasive; yellow, Proliferative. RTK labels are shown for comparison. (D) Heatmap of the hierarchical clustering using the RTK/MPSE signature: EGFRHIGH/ERBB3LOW-Invasive (green); EGFRLOW/ERBB3HIGH-Invasive (violet); EGFRLOW/ERBB3HIGH-Proliferative (orange). The number of clustered samples, as detailed in the text, is forty-five. The 210 genes of the RTK/MPSE signature are grouped into three highly correlated clusters: 1, light-blue; 2, pink; 3, brown.