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Table 1 Individual classification performances of FGA-generated feature sets for 3' (A-KmerX) and 5' (D-KmerX) splice sites.

From: Features generated for computational splice-site prediction correspond to functional elements

A-3mer

86.46

A-4mer

84.92

A-3mer1

84.16

A-4mer1

77.28

A-3mer2

77.01

A-4mer2

69.10

A-3mer3

69.42

A-4mer3

63.11

A-3mer4

63.30

A-4mer4

56.66

A-3mer5

56.84

A-4mer5

49.23

A-3mer6

49.50

A-4mer6

41.02

A-3mer7

41.22

  

A-5mer

80.60

A-6mer

68.64

A-5mer1

69.20

A-6mer1

61.72

A-5mer2

62.74

A-6mer2

54.65

A-5mer3

56.25

A-6mer3

47.19

A-5mer4

49.08

A-6mer4

39.62

A-5mer5

40.51

  

D-3mer

86.79

D-4mer

85.21

D-3mer1

83.45

D-4mer1

81.14

D-3mer2

80.31

D-4mer2

70.47

D-3mer3

70.08

D-4mer3

55.38

D-3mer4

56.06

D-4mer4

44.77

D-3mer5

42.97

  

D-5mer

83.64

D-6mer

75.03

D-5mer1

77.20

D-6mer1

66.68

D-5mer2

57.42

D-6mer2

43.31

D-5mer3

38.09

  
  1. FGA-generated feature sets for splice sites and their individual performances at splice-site prediction. Each value reported is an average precision (positive predictive value, TP/(TP+FP)) over 11 values of recall (sensitivity, TP/(TP+FN)), 0%, 10%, 20% ... and 100%, and is the result of a three-fold cross validation. All the features in these features sets extend along the whole splice-site neighbourhood [-82, 80] that we study.