Fig. 1: Transcriptomic expression analysis of diffuse large B-cell lymphoma.
From: Combining gene expression profiling and machine learning to diagnose B-cell non-Hodgkin lymphoma
a Two-dimensional principal component analysis map computed on activated B-cell (ABC) DLBCL (blue) and germinal center B-cell (GCB) DLBCL (gold) cases for the 137 markers included in the panel. The expression of the 40 most discriminatory markers is plotted. b Volcano plots computed on ABC DLBCL (blue) and GCB DLBCL (gold) cases for the 137 markers included in the panel showing up- or downregulated genes between these 2 conditions (absolute log2-fold change >1 and a significant FDR (<0.05)). c Two-dimensional principal component analysis map computed on PMBL (red) and ABC DLBCL (blue) cases for the 137 markers included in the panel. The expression of the 40 most discriminatory markers is plotted. d Volcano plots computed on PMBL (red) and ABC DLBCL (blue) cases for the 137 markers included in the panel showing up- or downregulation between these 2 conditions (absolute log2-fold change >1 and a significant FDR (<0.05)). e Two-dimensional principal component analysis map computed on PMBL (red) and GCB DLBCL (gold) cases for the 137 markers included in the panel. The expression of the 40 most discriminatory markers is plotted. f Volcano plots computed on PMBL (red) and GCB DLBCL (gold) cases for the 137 markers included in the panel showing up- or downregulation between these two conditions (absolute log2-fold change >1 and a significant FDR (<0.05)). g Differential expression of a selection of markers of interest that is useful for distinguishing PMBL from ABC and GCB DLBCL. ****p < 10−4 and NS: not significant according to the Wilcoxon test.
