A wrapper to run PAC and output subpopulation mutual information networks. Please use the PAC function itself for individual samples or if the MAN step is not needed.
1 2 | samplePass(sampleIDs, dim_subset, hyperrectangles, num_PACSupop, max.iter,
num_networkEdge)
|
sampleIDs |
sampleID vector |
dim_subset |
a string vector of string names to subset the data columns for PAC; set to NULL to use all columns |
hyperrectangles |
number of hyperrectangles to learn for each sample |
num_PACSupop |
number of subpopulations to output for each sample using PAC |
max.iter |
postprocessing kmeans iterations |
num_networkEdge |
a threshold on the number of edges to output for each subpopulation mutual information network |
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