adjust.clone.vaf

<p>Adjust clone VAF according to significant different test result
If two clones have close VAF, adjust the smaller VAF to the bigger
TODO: this test does not work yet, has to think more carefully about what
test to use, as well as test involving multiple samples</p>

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.

Ha X. Dang

clonevol

Clonal ordering and visualization

adjust.clone.vaf function

Adjust clone VAF according to significant different test result
If two clones have close VAF, adjust the smaller VAF to the bigger
TODO: this test does not work yet, has to think more carefully about what
test to use, as well as test involving multiple samples — adjust.clone.vaf

Adjust clone VAF according to significant different test result
If two clones have close VAF, adjust the smaller VAF to the bigger
TODO: this test does not work yet, has to think more carefully about what
test to use, as well as test involving multiple samples

adjust.clone.vaf: Adjust clone VAF according to significant different test result If two clones have close VAF, adjust the smaller VAF to the bigger TODO: this test does not work yet, has to think more carefully about what test to use, as well as test involving multiple samples

Description

Usage

Arguments