Fig. 4: Properties of the simulated bulk genotyping data set along with the performance measure of DEVOLUTION.

a Visualization of three simulated tumors with increasing mutation frequency. To the right of each tumor are cross-sections at five positions (z). Each color represents a subclone harboring a unique genetic profile. b When increasing the number of biopsies, more genetic alterations and hence subclones, are identified. In addition, the algorithm is also able to identify more subclones correctly. Each point in the graph is the mean of three consecutive measurements and the error bars consequently the standard deviation. c The proportion of genetic alterations correctly allocated \(\pm\) 1 SD when increasing the number of biopsies from 1 to 10 for three different mutation frequencies resulting in 10 (green), 50 (blue), and 100 (red) genetic alterations present in the virtual tumor. Each point is the mean of three iterations. d The proportion of correctly allocated genetic alterations when excluding genetic alterations that were only found in a single biopsy. e Violin plot showing the spread of the proportion of correctly allocated genetic alterations when including all alterations and when excluding the genetic alterations only found in one biopsy. The box plots within the violin plots illustrates the interquartile range. The red dot is the median value. The information used to produce the plots can be found in Supplementary Data 3 and 4.