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Table 4 Parameter estimates with 95% confidence interval for the yeast PPI network, from the EE algorithm

From: Testing biological network motif significance with exponential random graph models

Effect

Model 1

Model 2

Model 3

Edge

\(\mathbf {\underset{(-7.806, -7.709)}{-7.758}}\)

\(\mathbf {\underset{(-10.685, -10.650)}{-10.667}}\)

\(\mathbf {\underset{(-9.302, -9.262)}{-9.282}}\)

AS

\({\underset{(-0.103, 0.007)}{-0.048}}\)

\(\mathbf {\underset{(1.013, 1.140)}{1.077}}\)

\(\mathbf {\underset{(0.550, 0.659)}{0.604}}\)

A2P

–

\(\mathbf {\underset{(-0.090, -0.084)}{-0.087}}\)

\(\mathbf {\underset{(-0.062, -0.056)}{-0.059}}\)

AT

\(\mathbf {\underset{(1.807, 1.907)}{1.857}}\)

\(\mathbf {\underset{(2.474, 2.548)}{2.511}}\)

\(\mathbf {\underset{(2.396, 2.467)}{2.432}}\)

Match class

–

–

\(\mathbf {\underset{(0.315, 0.402)}{0.358}}\)

  1. Parameter estimates that are statistically significant are shown in bold