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Table 1 Linear regression fit of the quantile-normalized centrality scores (Eq. 20) and the percentage human pathway genes that are cancer-related

From: Revisiting the use of graph centrality models in biological pathway analysis

Centralitytermestimatestd.errorstatisticp.value
Degree(Intercept)1.50e+011.30e+001.15e+014.98e-20
DegreeCoefficient1.37e-012.24e-026.11e+002.01e-08
Katz-Sink(Intercept)2.55e+012.31e+001.11e+018.26e-19
Katz-SinkCoefficient6.23e-033.93e-021.58e-018.74e-01
Katz-Source(Intercept)2.84e+012.57e+001.10e+011.49e-18
Katz-SourceCoefficient-5.97e-024.28e-02-1.39e+001.67e-01
Katz-SSC(Intercept)1.45e+011.12e+001.30e+014.23e-23
Katz-SSCCoefficient1.38e-011.93e-027.13e+001.64e-10
Lap-Sink(Intercept)2.49e+011.89e+001.32e+011.92e-23
Lap-SinkCoefficient1.65e-023.23e-025.12e-016.09e-01
Lap-Source(Intercept)2.91e+012.50e+001.17e+018.94e-20
Lap-SourceCoefficient-7.29e-024.14e-02-1.76e+008.18e-02
Lap-SSC(Intercept)1.27e+011.03e+001.24e+018.89e-22
Lap-SSCCoefficient1.78e-011.78e-029.99e+001.12e-16
PageRank-Sink(Intercept)1.33e+012.28e+005.85e+007.09e-08
PageRank-SinkCoefficient1.91e-013.86e-024.93e+003.43e-06
PageRank-Source(Intercept)1.27e+011.54e+008.23e+001.37e-12
PageRank-SourceCoefficient1.77e-012.55e-026.94e+005.88e-10
PageRank-SSC(Intercept)7.58e+009.78e-017.76e+007.88e-12
PageRank-SSCCoefficient2.67e-011.69e-021.58e+018.22e-29
PageRank-Und(Intercept)9.06e+009.39e-019.65e+006.36e-16
PageRank-UndCoefficient2.33e-011.62e-021.43e+016.49e-26