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Table 1 The statistics of network properties for SGI vs. non-SGI gene pairs

From: A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network

Gene pair characteristic KSStat P-value
   Binary
Network
Weighted
Network
Binary
Network
Weighted
Network
Average Degree 0.0364 0.0261 0.9 0.0011
  Closeness 0.0212 0.0385 0.0108 1.48E-07
  Betweenness 0.0319 0.0529 1.55E-05 7.05E-14
  Clustering Coefficient 0.0679 0.0691 1.41E-23 2.365E-24
Absolute
Difference
Degree 0.0587 0.0715 1.00E-17 5.71E-25
  Closeness 0.0587 0.0441 1.00E-17 9.365E-10
  Betweenness 0.0313 0.0414 2.35E-05 1.56E-08
  Clustering Coefficient 0.0615 0.0571 1.97E-19 4.435E-26