samplePass: Run PAC for Specified Samples
In PAC: Partition-Assisted Clustering and Multiple Alignments of Networks

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