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

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

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

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]

ISSN: 1748-7188