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Table 2 The most predictive peaks identified by rotated two-component PLS regression analysis.

From: A proteomic approach identified growth hormone-dependent nutrition markers in children with idiopathic short stature

Number of peaks

R2

CVcorrect

First year growth hormone responsiveness Peak m/z value (kDa)

15

0.51

64

17.584, 17.383, 17.256, 17.139, 13.788, 9.127, 8.820, 8.689, 6.833, 6.626, 6.474, 6.428, 4.401, 3.212 and 3.311

5

0.47

76

13.877, 17.139, 17.256, 17.584 and 6.428

4

0.47

78

13.877, 17.139, 17.256 and 17.584

3

0.47

81

13.877, 17.139 and 17.256

2

0.47

82

13.877 and 17.139

   

Before treatment

15

0.32

59

3.311, 4.401, 4.463, 7.010, 8.689, 8.820, 9.709, 13.877, 14.040, 14.142, 15.132, 17.139, 17.256, 17.584, 28.067

5

0.23

63

14.040, 14.142, 17.139, 17.256, 28.067

4

0.24

65

14.142, 17.139, 17.256, 28.067

3

0.32

74

9.361, 14.040, 17.256

2

0.17

59

17.139, 17.256

  1. The most predictive peaks identified by rotated two-component PLS regression analysis when 2, 3, 4, 5 and 15 peaks were included in the analysis. For each model the R2-value and correct rate of classification (CVcorrect) are presented. It is the peak intensity changes during the first year of GH treatment that are used in the analyses.