Fig. 4
From: A simplicial complex-based approach to unmixing tumor progression data
Comparative accuracy of inferring mixture fractions (tumor composition) from simulated data as a function of data noise level. Accuracy is quantified by the RMSD per point per dimension, shown in the example cases of two lines at a point (a), two tetrahedra at a point (b), two triangles at a point (c), and two triangles at an edge (d). The inferences are computed as the mean over 10 replicates. The figure shows relative inference accuracies for the simplicial complex method and the comparative simplex and Gaussian mixture model methods