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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.