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Table 1 Prediction accuracies, sensitivities, specificities, AUC values and Matthew's correlation coefficients (MCC) compared between methods (based on COSMIC dataset)

From: Assessment of computational methods for predicting the effects of missense mutations in human cancers

Tool

Accuracy

Sensitivity

Specificity

AUC

MCC

CHASM

89%

79%

99%

0.92

0.79

MutationAssessor

81%

76%

86%

0.89

0.62

Condel

78%

75%

82%

0.85

0.58

PolyPhen-2

77%

79%

75%

0.82

0.54

SIFT

76%

70%

82%

0.80

0.52

SNAP

68%

55%

81%

0.67

0.37

mCluster

65%

40%

90%

0.64

0.35

logRE

61%

65%

57%

0.60

0.22