cross.rule.score

method for combining p-values across samples
values = c('fisher', 'z'), default = 'fisher'

meta.p.method:

placeholder for exhaustive.mode, not implemented yet.

exhaustive.mode:

For each model, each clone will receive a score that
is equal to the combined p-value of the test that the CCF of the
clone is &gt;= 0

clonevol performs clonal ordering and visualization using
the variant clustering results. It uses a bootstrap resampling
technique to estimate the cellular prevalence of the clones within
samples and probabilistically model clonal ordering constraints
(sum and cross rules), hence it tolerates error and variability
in cellular prevalence estimates of individual variants.

cross.rule.score: Apply cross rule to all clones in all matched models using p-value combination

Description

Usage

Arguments