Fig. 4
From: MEDALT: single-cell copy number lineage tracing enabling gene discovery
Application on scRNA-seq data from cancer patients. a Average distance to root of the cells in the primary samples (X-axis) and those in the metastasis/relapse samples (Y-axis) estimated from the MEDALTs. b Average pseudotime of the cells in the primary samples (X-axis) and those in the paired metastasis/relapse samples (Y-axis) estimated by Monocle. c Pearson’s correlation coefficients between the SCCN profiles of the cells in the same lineages dissected from the MEDALTs (Y-axis) versus those in the same cell states clustered by Monocle (X-axis). Each dot in a, b, and c represents a cancer patient. All the p values were estimated by one-side Wilcoxon rank-sum test. d Average DepMap gene-knockoff effect scores of the gene set identified by MEDALT and those by Monocle from the 20 patients. Also included as controls are 100 sets of 75 random genes, 234 oncogenes, and 269 tumor suppressors (TS) in oncoKB and intOGen