Many events can be clustered correctly due to VAF can not be estimated (eg. indels, copy number, copy altered SNVs). This function try a best guess of what clone should the events belong to. It will look at the "sample" column of the merged tree data frame and match with the samples that we see the event. The clone that have the max number of samples matching will be chosen.
1 | assign.events.to.clones.of.a.tree(tree, events, samples, cutoff = 0)
|
tree: |
a merged tree |
events: |
a data frame containing events and presence/absence status in each sample (required colums: "event", followed by sample columns representing VAF, each in a column |
samples: |
samples (equivalent to vaf.col.names when calling infer.clonal.models |
cutoff: |
VAF cutoff to determine presence/absence of an event in a sample |
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