[cat_Oexpr] - "1" if this observation's group 1 values are overexpressed as a categorical variable, "2" if it's group 2 values are overexpressed, "0" if they are tied
[cont_Oexpr] - "1" if group 1 values are overexpressed as a continuous variable, "2" if group 2 overexpressed, "0" if they are tied
Remarks
Overexpression as a categorical variable is determined by taking the ratio between nonzero(or nonmissing) values to the total possible values in that group and determining which group's ratio is larger.
For example, if row X had 3 nonzero values out of a possible 5 in group 1, and 2 nonzero of a possible 5 in group 2, it would be overexpressed in group 1
Overexpression as a continuous variable is determined by adding all values in a given group together, and then dividing by the total number of nonzero(or nonmissing) values in that group, and comparing these two ratios, the larger ratio is the overexpressed one.
For example, if row X had 5 nonzero values which sum to 100 in group 1, and had 5 nonzero values which sum to 50 in group 2, it would be overexpressed in group 1
If "ignore zeroes" is false, zeroes are treated as being expression levels in the categorical expression