scphylo.tl.bnb#
- scphylo.tl.bnb(df_input, bounding, time_limit=86400)[source]#
Solving using PhISCS-BnB.
PhISCS-BnB: a fast branch and bound algorithm for the perfect tumor phylogeny reconstruction problem [PhISCS-BnB].
- 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).bounding¶ (
str) – The bounding strategy {‘simulated’, ‘real’}time_limit¶ (
int, optional) – Time limit of the BnB core running in seconds, by default 86400 (one day)
- 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:
