compute_rearr_stat_mds: Performs a multidimensional scaling placing samples in a 2D...
In milaboratory/mirutil:

Produces a data frame with 2D coordinates for each sample computed for segment usage, insert size and segment trimming size statistics. Note that this routine will produce separate placements for each antigen receptor chain present in dataset

1	compute_rearr_stat_mds(dists_bundle, cores = 2)

`dists_bundle`	a set of distances produced by 'compute_rearr_stat_dist' function
`cores`	number of cores for parallelization
`value.types`	specifies whether to use weighted histograms - 'reads' or to count each clonotype once - 'clonotypes'; can specify both
`add.pseudocounts`	if true will re-compute histograms by adding a pseudocount of 1 to each histogram, including missing bins, and re-normalize them to new total