Fig. 2
From: A novel NET-related gene signature for predicting DLBCL prognosis
Screening for prognosis-related NRGs and functional identification of DEGs between high- and low-risk groups. A Venn diagram analysis showing the overlap of NET sets and univariate Cox results. B Establishment of signatures via least absolute shrinkage and selection operator (LASSO) logistic regression analysis. The 36 genes are represented by different colors in the LASSO coefficient profile. C Selection of the optimal parameter (lambda) in the LASSO model, and generation of a coefficient profile plot. D–F Bubble charts depicting GO-enriched DEG items in three functional categories: biological processes (BP, D), cell composition (CC, E), and molecular function (MF, F)