scphylo.tl.partition_function#

scphylo.tl.partition_function(df_input, alpha, beta, n_samples, n_batches, muts, cells)[source]#

Calculate the probability of a mutation seeding particular cells.

Parameters

df_input¶ (pandas.DataFrame) – Input genotype matrix.
alpha¶ (float) – False positive error rate.
beta¶ (float) – False negative error rate.
n_samples¶ (int) – Number of samples to get from the distribution (suggest: 1000)
n_batches¶ (int) – Number of batches to repeat the experiment (suggest: 100)
muts¶ (list) – The list of mutations
cells¶ (list) – The list of cells

Returns

A table of probabilities for every mutation and every batch.

Return type

pandas.DataFrame

Examples#