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Table 3 Predictive power of the SVM classifiers

From: Mining protein networks for synthetic genetic interactions

Set of input features to SVM classifier

Positive predictive value

All graph theoretic protein characteristics

0.08

All graph theoretic protein characteristics + 2Hop SS

0.50

All graph theoretic protein characteristics + 2Hop SP

0.15

All graph theoretic protein characteristics + 2Hop SS + 2Hop SP

0.14

  1. Positive predictive values for classifiers trained with and without 2Hop characteristics at a threshold level of 0.999.
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BMC Bioinformatics

ISSN: 1471-2105

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