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Table 2 Sensitivity, specificity and accuracy of vCGH*, rGEP and sGEP on MCL dataset

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

 

Sensitivity (%)

Specificity (%)

Accuracy (%)

 

rGEP

38.45 ± 2.93

71.43 ± 0.58

69.46 ± 1.50

Gain

sGEP

42.77 ± 10.42

86.33 ± 2.97

83.59 ± 3.48

 

vCGH

74.49 ± 17.77

88.56 ± 4.78

87.50 ± 5.59

 

rGEP

28.26 ± 3.70

80.94 ± 0.70

77.71 ± 3.47

Loss

sGEP

50.66 ± 24.13

92.71 ± 2.00*

89.19 ± 3.63

 

vCGH

59.63 ± 17.22

90.63 ± 4.91

89.30 ± 5.69

  1. *Viterbi method was used to represent vCGH.