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Table 2 Variables' transformation

From: A novel data mining system points out hidden relationships between immunological markers in multiple sclerosis

  Original variables Variables’ transformation
1 CD4+RORC/γτ+ 1- CD4+RORC/γτ+
2 CD4+IL17A+ 1- CD4+IL17A+
3 CD4+IL22+ 1- CD4+IL22+
4 CD4+TBET+ 1- CD4+TBET+
5 CD4+IL9+ 1- CD4+IL9+
6 CD4+GATA+ 1- CD4+GATA+
7 CD4+IL13+ 1- CD4+IL13+
8 CD4+IL25+ 1- CD4+IL25+
9 CD14+IL6+ 1- CD14+IL6+
10 CD19+IL-6+ 1- CD19+IL-6+
11 CD19+TGFβ 1- CD19+TGFβ
  1. We transformed the 11 immunological variables in 22 input variables and we made for each of the variable, scaled from 0 to 1, its complement as better detailed in the text.