KSomics: Create an KSomics object
In EMDomics: Earth Mover's Distance for Differential Analysis of Genomics Data

This is the constructor for objects of class 'KSomics'. It is used in calculate_ks to construct the return value.

1	KSomics(data, outcomes, ks, ks.perm, pairwise.ks.score, pairwise.ks.q = NULL)

`data`	A matrix containing genomics data (e.g. gene expression levels). The rownames should contain gene identifiers, while the column names should contain sample identifiers.
`outcomes`	A vector of group labels for each of the sample identifiers. The names of this vector must correspond to the column names of `data`.
`ks`	A matrix containing a row for each gene in `data`, and with the following columns: `ks` The calculated KS score. `q-value` The calculated q-value (by permutation analysis). The row names should specify the gene identifiers for each row.
`ks.perm`	A matrix containing a row for each gene in `data`, and with a column containing KS scores for each random permutation calculated via `calculate_ks`.
`pairwise.ks.score`	A table containing the KS scores for each pairwise comparison for each gene. For a two-class problem, there should be only one column comparing class 1 and class 2. The row names should be gene identifiers. The column names should be in the format "<class 1> vs <class 2>" (e.g. "1 vs 2" or "A vs B").
`pairwise.ks.q`	A table of the same dimensions as `pairwise.ks.score` with the q-values for the pairwise comparisons. Q-values are computed by adjusting the p-value using the Benjamini-Hochberg method within each pairwise comparison.