Figure 3.

Evaluation of the performance of TuMult and the parsimony method with simulated data. Simulated data were generated to evaluate the performance of TuMult and the parsimony method for the reconstruction of tumor progression trees. The performance of each algorithm was assessed under each set of conditions by generating 1,000 random trees and calculating (a) the percentage of the reconstructed trees with the correct topology, and (b), for the trees with the correct topology, the percentage of probes with incorrect copy number status in the internal nodes. Simulations were carried out for different numbers of tumors (upper panel), various levels of noise in the data (middle panel), and various proportions of normal cells in the samples (bottom panel). The number of tumors analyzed (between 2 and 6), together with the levels of noise (between 0.03 and 0.11) and contamination (10 to 40%) estimated for our experimental data are represented by yellow areas.

LetouzĂ© et al. Genome Biology 2010 11:R76   doi:10.1186/gb-2010-11-7-r76
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