Research Article

ExCNVSS: A Noise-Robust Method for Copy Number Variation Detection in Whole Exome Sequencing Data

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 IDExCNVSSExCNVSS_noRatioExcavatorContra 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
(%)

NA128439926.67/6353.33/6154.81/397.78/10025.93/
(51/48)12.39(27/36)14.99(54/7)4.43(0/3)0.05(54/46)43.35
NA128426240.95/3962.86/5646.67/098.10/4953.33/
(50/12)13.09(25/14)17.03(56/0)6.04(0/2)0.43(49/0)66.74
NA127485941.58/3664.36/6337.62/199.01/5644.55/
(50/9)13.21(24/12)14.47(54/9)5.46(0/1)0.04(56/0)55.38
NA127188725.64/7635.04/6346.15/794.02/8923.93/
(49/38)12.27(31/45)14.08(54/9)6.10(0/7)0.26(54/35)88.65
NA122755741.84/4356.12/5642.86/198.98/5642.86/
(49/8)11.53(33/10)13.74(56/0)6.09(0/1)0.27(54/2)91.48
NA122736838.92/4064.60/5650.44/496.46/6046.90/
(54/14)10.45(27/13)15.12(56/0)6.10(0/4)0.11(49/11)98.61
NA122725841.41/4257.58/6435.35/297.98/6534.34/
(48/10)11.31(31/11)13.86(57/7)6.08(0/2)0.23(54/11)97.54
NA118435545.54/3763.37/6238.61/199.01/5248.51/
(48/7)11.92(26/11)15.86(54/8)5.49(0/1)0.05(52/0)47.60
NA108475838.95/3761.05/6333.68/396.84/5245.26/
(55/3)11.15(36/1)16.24(63/0)6.06(1/2)0.5(52/0)92.17
NA069846442.86/4658.93/5650.00/496.43/5550.89/
(51/13)12.31(32/14)14.36(56/0)5.76(0/4)0.03(53/2)65.75