trim.clone.trees: Reduce clone trees to core trees after excluding clones that...
In hdng/clonevol: Clonal ordering and visualization
Description
Reduce clone trees produced by infer.clonal.models
to the core models, ie. ones that do not affect how clonal evolve
and branch across samples. This function will strip off the clones
that involve only one sample, any excluded nodes, and compare the trees
and keep only ones that are different. Return a list of merged.trees
Usage
1
2
trim.clone.trees(merged.trees, remove.sample.specific.clones = TRUE,
samples = NULL, seeding.aware.tree.pruning = TRUE)
Arguments
merged.trees:
output of infer.clonal.models()$matched$merged.trees
or any list of trees produced by infer.clonal.models()$models
remove.sample.specific.clones:
remove clones that are found in
only one sample before comparing, default=T (used when reducing
merged trees. Set this to F to compare and reduce multiple samples
with the same tree to one sample
hdng/clonevol documentation built on May 17, 2019, 3:19 p.m.
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Description
Reduce clone trees produced by infer.clonal.models to the core models, ie. ones that do not affect how clonal evolve and branch across samples. This function will strip off the clones that involve only one sample, any excluded nodes, and compare the trees and keep only ones that are different. Return a list of merged.trees
Usage
1 2 | trim.clone.trees(merged.trees, remove.sample.specific.clones = TRUE,
samples = NULL, seeding.aware.tree.pruning = TRUE)
|
Arguments
merged.trees: |
output of infer.clonal.models()$matched$merged.trees or any list of trees produced by infer.clonal.models()$models |
remove.sample.specific.clones: |
remove clones that are found in only one sample before comparing, default=T (used when reducing merged trees. Set this to F to compare and reduce multiple samples with the same tree to one sample |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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