generate.boot.nonparametric

data frame of variants with cluster assignments and VAF
of samples. Columns are c('cluster', 'sample1', 'sample2', ....)

variants:

The sample of zero vaf (to use to compare with other
clusters to determine if the cluster should be considered zero VAF, and
not included in the models)

zero.sample:

Generate and calculate bootstrap means for all clusters
Depricated!

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.

generate.boot.nonparametric: Generate and calculate bootstrap means for all clusters Depricated!

Description

Usage

Arguments