scphylo.tl.phiscsb#

scphylo.tl.phiscsb(df_input, alpha, beta, experiment=False)[source]#

Solving using PhISCS-B (only in single-cell mode, no bulk).

a combinatorial approach for subperfect tumor phylogeny reconstruction via integrative use of single-cell and bulk sequencing data [PhISCS].

Parameters

df_input¶ (pandas.DataFrame) – Input genotype matrix in which rows are cells and columns are mutations. Values inside this matrix show the presence (1), absence (0) and missing entires (3).
alpha¶ (float) – False positive error rate.
beta¶ (float) – False negative error rate.
experiment¶ (bool, optional) – Is in the experiment mode (the log won’t be shown), by default False

Returns

A conflict-free matrix in which rows are cells and columns are mutations. Values inside this matrix show the presence (1) and absence (0).

Return type

pandas.DataFrame

Examples#