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Figure 6 | Genome Biology

Figure 6

From: A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data

Figure 6

Performance comparisons of CHAT , EXPANDS , and PyClone . (A, B, C) Scatter plot of the CCF values estimated by the three methods against the known CCF values used in the simulation. The four lineage scenarios were distinguished by different symbol colors. (D) Boxplot showing the estimation errors for each of the three methods, stratified by both sCNA types and lineage scenarios, with the actual number of mutations simulated for each CNA type-scenario combination marked at the bottom of each panel. The sCNA types include heterozygous deletions (A/B), cn-LOH (AA/BB), and amplification (AAB/ABB). Mutations in balanced amplifications (n =55) were not shown in order to reduce clutter.

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