Table 3

Accuracy of different cleavage prediction models developed on cattle neuropeptides

Cleavage Prediction Model

AA¹

AA-Prop²

Model Accuracy Statistic

LR³

ANT⁴

LR

ANT

True Negative

669

691

667

690

True Positive

44

43

50

46

False Negative

41

42

35

39

False Positive

77

55

79

56

Correct Classification Rate (%)

86

88

86

89

Sensitivity (%)

52

51

59

54

Specificity (%)

90

93

89

92

Area under receiver operating characteristic curve (%)

76

76

82

78

¹AA = Models developed using only amino acids

² AA-Prop = Models developed using amino acids plus amino acid physiochemical properties

³LR = Models developed using logistic regression

⁴ ANT = Models developed using artificial neural networks

Southey et al. BMC Genomics 2009 10:228   doi:10.1186/1471-2164-10-228