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 >= 0
1 2 | cross.rule.score(x, meta.p.method = "fisher", exhaustive.mode = FALSE,
rank = TRUE, boot = NULL)
|
x: |
output of infer.clonal.models |
meta.p.method: |
method for combining p-values across samples values = c('fisher', 'z'), default = 'fisher' |
exhaustive.mode: |
placeholder for exhaustive.mode, not implemented yet. |
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