Fig. 2
From: MEDALT: single-cell copy number lineage tracing enabling gene discovery
Application on scDNA-seq data from TNBCs. a The MEDALT Inferred from patient t1. The widths of the edges are drawn proportional to the MEDs. Colors (yellow, blue and green) highlight the 3 main branches. b The relationship between CNA numbers (Y-axis) and the depth on the tree (or distance to the root, X-axis). The barplot shows the fraction of DDR genes among the genes with copy number losses in the 3 lineages. c ROC curve for identifying functionally important, broad CNAs in the literature (Table S4). d The gene knockout effect scores of the gene sets (cohort LSA test p value < 0.001) identified based on the MEDALTs, MP trees, and GISTIC in 29 breast cancer cell lines. Included as controls are 100 sets of 197 randomly selected genes, 234 oncogenes, and 269 tumor suppressors (TS) in oncoKB and intOGen. The overall survival (OS) (e) and the progression-free survival (PFS) (f) of RBBP8 loss in TCGA breast cancer patients. g OS of RBBP8 loss in the METABRIC