Table 2

Results of cancer fusion gene detection simulations

Parameter Values (Num Pools, Coverage, Error Rate)

# of Samples with Fusion

1

2

3


(10, 4 , 0.01)

0.980

0.760

0.340

(10, 12 , 0.01)

0.990

0.970

0.700

(10, 16, 0.01)

1.000

0.980

0.780

(10, 20, 0.01)

1.000

0.930

0.790

(10, 24, 0.01)

1.000

0.990

0.810

(10, 28, 0.01)

0.990

0.970

0.840

(4, 28, 0.01)

0.180

0.030

0.000

(6, 28, 0.01)

0.550

0.230

0.050

(8, 28, 0.01)

1.000

0.900

0.410


Each entry in the table is the fraction that the algorithm correctly identified the samples harboring the fusion gene.

He et al. BMC Bioinformatics 2011 12(Suppl 6):S2   doi:10.1186/1471-2105-12-S6-S2

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