findClones | R Documentation |
Assign cells to genetic subclones from their inferred CNA profiles. You can compute their CNA profiles using infercna::infercna().
findClones(
m,
prob = 0.95,
coverage = 0.8,
mode.size = 10,
clone.size = 3,
by = "chr",
bySampling = FALSE,
nsamp = 2000,
force.tries = FALSE,
verbose = FALSE,
...
)
m |
a matrix of genes X cells (variables X observations) containing CNA values. |
prob |
a numeric value >= 0 and <= 1; the minimum posterior probability required for an observation to be assigned to a mode. Default: 0.95 |
coverage |
the fraction of observations that must have a posterior probability higher than <prob> to one of two modes in order for the distribution to qualify as bimodal. Default: 0.8 |
mode.size |
the minimum number of observations required to define a mode. Default: 10 |
clone.size |
the minimum number of cells required to define a clone. Default: 3 |
by |
PARAM_DESCRIPTION, Default: 'chr' |
OUTPUT
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