Fig. 2
From: SiFit: inferring tumor trees from single-cell sequencing data under finite-sites models
Performance comparison on data sets with missing data. SiFit’s tree reconstruction accuracy is compared against that of SCITE and OncoNEM on data sets with missing data. The y-axis denotes the tree reconstruction error, which measures the distance of the inferred tree from the ground truth. Three points for n=200, n=400, and n=600 are plotted on the x-axis. In each case, the mean tree reconstruction error over ten data sets is plotted. The vertical error bar indicates the standard deviation of the tree reconstruction error over ten data sets. a Comparison for data sets without any missing data and δ=0. b Comparison for data sets with 10% missing data and δ=0. c Comparison for data sets with 25% missing data and δ=0. d Comparison for data sets with without any missing data and δ=0.05. e Comparison for data sets with 10% missing data and δ=0.05. f Comparison for data sets with 25% missing data and δ=0.05. g Comparison for data sets without any missing data and δ=0.1. h Comparison for data sets with 10% missing data and δ=0.1. i Comparison for data sets with 25% missing data and δ=0.1. For d–i, the tree reconstruction error is measured without considering the doublets in both the true and inferred trees. FN false negative, FP false positive