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Table 1 Simulation study based on characteristics of a published AML cohort [21]

From: Distinguishing linear and branched evolution given single-cell DNA sequencing data of tumors

Patient Pattern # Mutations m # Cells n Median flips Phyolin median flips Median \(\hat{\beta }\) Med prob.
AML-2 Linear 5 7931 1826 1039 0.037 0.70
AML-8 Linear 3 4675 759 294 0.029 0.42
AML-10 Linear 4 8729 1427 584 0.030 0.56
AML-33 Linear 3 8120 1091 350 0.027 0.41
AML-47 Linear 3 6491 1135 488 0.032 0.42
AML-58 Linear 3 8170 1280 472 0.029 0.40
AML-53 Branched 3 8013 544 2220 0.44 0.39
AML-62 Branched 6 4027 726.5 2299 0.19 0.58
AML-63 Branched 4 8347 1238.5 1432 0.084 0.44
AML-67 Branched 7 6024 1061.5 6440 0.31 0.71
AML-69 Branched 3 7462 651.5 1037 0.16 0.29
AML-74 Branched 5 9279 1020 2122 0.17 0.38
  1. Shown is the patient identifier, the published evolutionary pattern of the tree, the number of mutations, the total cells sequenced [21], the median number of simulated false negatives over 10 replications, Phyolin estimated number of false negatives over 10 replications, the median \(\hat{\beta }\) over 10 replications, and the median probability of a linear perfect phylogeny as determined by the comparison deep learning method [14]