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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.