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Table 1 Sensitivity, specificity and accuracy of vCGH*, rGEP and sGEP on DLBCL dataset

From: Virtual CGH: an integrative approach to predict genetic abnormalities from gene expression microarray data applied in lymphoma

 

Sensitivity (%)

Specificity (%)

Accuracy (%)

 

rGEP

29.22 ± 2.34

79.36 ± 0.86

76.69 ± 1.65

Gain

sGEP

38.50 ± 6.91

90.52 ± 1.86*

87.72 ± 2.30

 

vCGH

69.63 ± 15.76

89.91 ± 3.53

89.05 ± 3.64

 

rGEP

27.82 ± 2.30

82.62 ± 0.81

81.54 ± 1.70

Loss

sGEP

47.43 ± 15.96

92.07 ± 1.69

90.90 ± 1.78

 

vCGH

67.27 ± 23.56

95.13 ± 3.23

94.73 ± 3.52

  1. *Viterbi method was used to represent vCGH.