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

Table 2 Summary of Phyolin analysis of two patients with ALL

Patient	Cells sequenced [22]	Mutations	Phyolin flips	\(\hat{\beta }\)	\(\beta ^*\) [22]	K
Patient 2	115	16	403	0.36	0.18	0.3
Patient 6	146	10	191	0.15	0.18	14.0

Shown is the patient identifier, the number of cells sequenced [22], the number of mutations, the number of flips performed by Phyolin, the estimated false negative rate \({\hat{\beta }}\), the false negative rate threshold \(\beta ^*\) [26] that was estimated for the sequencing technology and Bayes factor K

ISSN: 1748-7188