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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.