Table 3

PE prediction: four-class problem. Accuracy estimates with 95% confidence intervals and SOV. A * in the first three columns of a row indicates whether the results are obtained augmenting the network input with secondary structure predicted by Porter (P), hydrophobicity profile using the interactivity scale of [20] (H) and using second stage filtering network (F).

P

H

F

Q4

Q0

Q1

Q2

Q3

SOV


-

-

-

45.6 ± .5

59.9 ± .6

29.4 ± .4

26.8 ± .4

65.0 ± .6

33.2

-

-

*

46.0 ± .5

58.5 ± .5

30.6 ± .4

30.5 ± .4

63.3 ± .6

34.6

*

-

-

46.2 ± .5

62.1 ± .6

30.5 ± .4

27.3 ± .4

63.1 ± .6

37.3

*

-

*

46.5 ± .5

60.7 ± .5

32.3 ± .4

29.6 ± .4

61.8 ± .5

37.4

*

*

-

45.9 ± .5

61.5 ± .5

30.0 ± .4

27.3 ± .3

63.3 ± .6

37.1

*

*

*

46.5 ± .5

60.0 ± .5

32.2 ± .4

30.4 ± .4

61.9 ± .6

37.8

baseline

30.7 ± .4

48.1 ± .5

5.4 ± .2

8.5 ± .2

59.0 ± .6

-


Vullo et al. BMC Bioinformatics 2006 7:180   doi:10.1186/1471-2105-7-180

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