Figure 2
From: C1QA and COMP: plasma-based biomarkers for early diagnosis of pancreatic neuroendocrine tumors
Analysis of proteomics data. (A) The figure illustrates the scores plots of components one and two in a Partial Least Squares discriminant analysis (PLS-DA), explicitly comparing the clustering of PanNET (Grade I and II) and control samples. (B) The plot of the top 15 variable importance in projection (VIP) scores (> 1.5) was obtained from the analysis of PLS-DA. (C) Venn diagram created using the program Venny (https://bioinfogp.cnb.csic.es/tools/venny), illustrating the total count of proteins that exhibited differential expression in each Group (Grade I, Grade II, and Control). (D) The heat map displays the differential proteins, where protein expression values have been log2-normalized. Cluster analysis was conducted using Z-score protein intensities for proteins with a significance level of p < 0.05. In the heat map, red indicates a high expression level, while blue indicates a low expression level.
