Description Usage Arguments Value
Runs the ddClone MCMC-based inference algorithm over the genotype and allele-counts of a set of muations and computes point estimates for clustering assignment and cellular prevalences.
1 2 3 4 | ddclone(dataObj, outputPath = ".", tumourContent = 1,
numOfIterations = 100, thinning = 1, burnIn, a = 0.01, alpha = 1,
s = 1, seed = 10, useTraditionalCRP = F, dist.fn = jaccardDist,
dist.fn.options = NULL, grid.mA = 10, grid.mS = 10, grid.mAlpha = 10)
|
dataObj |
The data object, containing genotpe matrix and allele counts |
outputPath |
a directory where to store the results and temp files |
A list containing df
the estimated clustering and cellular prevalences; expPath
where the results are stored
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