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Table 2 Comparison of predictions using different methods.

From: Computational identification of condition-specific miRNA targets based on gene expression profiles and sequence information

 

SVM+SC3

SC1

SC3

TP (True Positive) rate

0.36

0.20

0.83

FP (False Positive) rate

0.00

0.00

0.03

TN (True Negative) rate

1.00

1.00

0.97

FN (False Negative) rate

0.64

0.80

0.17

Sensitivity (TP/(TP+FN))

0.36

0.20

0.83

Specificity (TN/(TN+FP))

1.00

1.00

0.97

Precision (TP/(TP+FP))

1.00

1.00

0.97

  1. SVM+SC3, the method combining the SVM classifier and the scoring method based on the sequence matches. SCÏ„ indicates the score cutoff, Ï„. The results were obtained with 100 test sets.
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BMC Bioinformatics

ISSN: 1471-2105

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