Table 2

PE prediction: three-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

Q3

Q0

Q1

Q2

SOV


-

-

-

55.8 ± .5

63.7 ± .5

35.5 ± .4

67.6 ± .6

38.3

-

-

*

56.2 ± .5

61.6 ± .6

40.6 ± .5

65.8 ± .6

40.3

*

-

-

56.3 ± .6

65.8 ± .6

36.9 ± .5

65.5 ± .6

42.1

*

-

*

56.6 ± .6

64.1 ± .6

41.1 ± .4

63.9 ± .6

43.6

*

*

-

56.4 ± .5

65.2 ± .6

36.8 ± .4

66.4 ± .6

42.6

*

*

*

56.7 ± .5

63.3 ± .6

41.4 ± .4

64.6 ± .6

44.0

baseline

39.8 ± .4

50.6 ± .5

8.5 ± .2

59.3 ± .6

-


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

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