Fig. 2
From: PyClone-VI: scalable inference of clonal population structures using whole genome data
Analysis of the DREAM SMC-Het data Analysis of the ICGC-TCGA DREAM Somatic Mutation Calling—Tumour Heterogeneity Challenge data using PhyloWGS (PWGS), PyClone (PC), PyClone-VI (PCVI) and QuantumClone (QC). This analysis used the 31 simulated tumours from the competition with fewer than 10,000 mutations. See Additional file 1: Table S5 for details about the characteristics of the datasets. a Comparison of V-measure across the methods (higher is better). b Comparison of the mean absolute deviation of estimated cancer cell fraction across methods (lower is better). c Comparison of runtime across methods (lower is better). c Comparison of memory usage across methods (lower is better)