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Table 1 Summary results for performance comparisons between SCOPE and its component algorithms, on all regulons. A "Win" is a regulon for which a program had the highest accuracy and that accuracy was at least 0.10. Programs in a two-way tie are credited with 0.5 wins each, so by construction, SCOPE can at best share a win with one of the other programs. A perfect winner-take-all ensemble method would have the same number of wins as all the component algorithms combined. A "clear win (loss)" is a regulon for which SCOPE's accuracy was at least 0.10 higher (lower) than the other program. The p-value reported for the paired t-test was Bonferroni-corrected to account for multiple (three) comparisons.

From: A novel ensemble learning method for de novo computational identification of DNA binding sites

 

SCOPE

BEAM

PRISM

SPACER

Average

0.24

0.17

0.18

0.17

Stderr

0.02

0.02

0.02

0.02

Wins

20

13

11

17

scores ≥ 0.50

8

8

6

5

scores ≥ 0.33

21

15

14

14

scores ≥ 0.20

39

23

23

26

Regulons returned

78

78

78

78

clear win for SCOPE vs

-

28

18

19

clear loss for SCOPE vs

-

6

2

3

t-test p-value

-

0.002

0.002

0.004