calcTSNE: Calculates the bhSNE from a melted data table
In BodenmillerGroup/bbRtools: A helper package to for cyTOF R scripts

Calculates the bhSNE from a melted data table

calcTSNE(input_dat, channels, value_var = "counts",
  channel_var = "channel", id_var = "id", group_var = "condition",
  scale = F, subsample_groups = F, subsample_mode = "equal",
  verbose = T, dims = 2, multicore = NULL, ...)

`input_dat`	melted data_table
`channels`	list of channels to be Used
`value_var`	column to be used as values
`channel_var`	column with the channel names
`id_var`	column name for the unique cell ID
`group_var`	variable that groups the table
`scale`	should the input data be rescaled?
`subsample_groups`	T: resamples all groups to the group with the least members, Integer: resamples all groups to the integer
`subsample_mode`	'equal': if integer provided to resample_groups all groups will contain min(resample_groups, min_groupsize) cells 'unequal': if integer provided to resample_groups, all groups will contain maximally resample_groups cells (or less) 'fraction': subsamples a fraction of the cells to get the total amount of cells indicated in subsample_groups
`verbose`	should bhSne be verbose?
`dimsd`	number of dimensions