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Table 3 Performance comparison of the seven permutation models on breast and lung cancer

From: Comparison of different functional prediction scores using a gene-based permutation model for identifying cancer driver genes

Method

Number of Significant genes

Overlap with CGC

Method consensus

CGC Rank

Consensus Rank

Average Rank

Breast cancer

 CADD

263

0.041

0.45

1

4

2.5

 DANN

158

0.011

0.57

6

2

4

 Fathmm-MKL coding

178

0.022

0.58

2

2

2

 Fathmm-MKL noncoding

184

0.021

0.49

3

3

3

 MetaLR

174

0.013

0.5

5

3

4

 SPIDEX

178

0.015

0.12

4

5

4.5

 VEST3

171

0.021

0.62

3

1

2

Lung cancer

 CADD

121

0.017

0.48

2

4

3

 DANN

142

0.013

0.25

3

6

4.5

 Fathmm-MKL coding

138

0.021

0.66

1

1

1

 Fathmm-MKL noncoding

149

0.011

0.54

4

3

3.5

 MetaLR

178

0.007

0.46

5

5

5

 SPIDEX

171

0.002

0.11

6

7

6.5

 VEST3

164

0.011

0.57

4

2

3