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. 2017 Jun 18;2017:9631282. doi: 10.1155/2017/9631282

Table 2.

CNV detection performances using 10 real data sets. An artificial exome data set generated by Wessim was used as the control data set.

sample ID ExCNVSS ExCNVSS_noRatio Excavator Contra ExomeCNV
Correctly detected
instances
(gain/loss)
FNR/FPR
(%)
Correctly
detected instances (gain/loss)
FNR/FPR
(%)
Correctly detected instances (gain/loss) FNR/FPR
(%)
Correctly detected instances (gain/loss) FNR/FPR
(%)
Correctly detected instances
(gain/loss)
FNR/FPR
(%)
NA12843 99 26.67/ 63 53.33/ 61 54.81/ 3 97.78/ 100 25.93/
(51/48) 12.39 (27/36) 14.99 (54/7) 4.43 (0/3) 0.05 (54/46) 43.35
NA12842 62 40.95/ 39 62.86/ 56 46.67/ 0 98.10/ 49 53.33/
(50/12) 13.09 (25/14) 17.03 (56/0) 6.04 (0/2) 0.43 (49/0) 66.74
NA12748 59 41.58/ 36 64.36/ 63 37.62/ 1 99.01/ 56 44.55/
(50/9) 13.21 (24/12) 14.47 (54/9) 5.46 (0/1) 0.04 (56/0) 55.38
NA12718 87 25.64/ 76 35.04/ 63 46.15/ 7 94.02/ 89 23.93/
(49/38) 12.27 (31/45) 14.08 (54/9) 6.10 (0/7) 0.26 (54/35) 88.65
NA12275 57 41.84/ 43 56.12/ 56 42.86/ 1 98.98/ 56 42.86/
(49/8) 11.53 (33/10) 13.74 (56/0) 6.09 (0/1) 0.27 (54/2) 91.48
NA12273 68 38.92/ 40 64.60/ 56 50.44/ 4 96.46/ 60 46.90/
(54/14) 10.45 (27/13) 15.12 (56/0) 6.10 (0/4) 0.11 (49/11) 98.61
NA12272 58 41.41/ 42 57.58/ 64 35.35/ 2 97.98/ 65 34.34/
(48/10) 11.31 (31/11) 13.86 (57/7) 6.08 (0/2) 0.23 (54/11) 97.54
NA11843 55 45.54/ 37 63.37/ 62 38.61/ 1 99.01/ 52 48.51/
(48/7) 11.92 (26/11) 15.86 (54/8) 5.49 (0/1) 0.05 (52/0) 47.60
NA10847 58 38.95/ 37 61.05/ 63 33.68/ 3 96.84/ 52 45.26/
(55/3) 11.15 (36/1) 16.24 (63/0) 6.06 (1/2) 0.5 (52/0) 92.17
NA06984 64 42.86/ 46 58.93/ 56 50.00/ 4 96.43/ 55 50.89/
(51/13) 12.31 (32/14) 14.36 (56/0) 5.76 (0/4) 0.03 (53/2) 65.75