Table 2

Multiple regression results predicting plasticity
Factor Subtract Factor from Best Model Predicting Plasticity Factor in Isolation
Y2H PPI R2 0.01911 0.0194
p *** ***
ACMS PPI R2 ns 0.0040
p - *
TATA Box (+/−) R2 0.02422 0.0445
p *** ***
Self Interaction (+/−) R2 0.00873 0.0015
p ** ns
Gene Essentiality (+/−) R2 ns 0.0005
p - ns
Noise R2 0.053444 0.0781
p *** ***
Noise if TATA(+) R2 0.0315 0.0449
slope 167.24 0.9949
p *** ***
Noise if TATA(−) R2 0.0224 0.0438
slope 70.444 −0.9858
p *** ***
TATA × Noise R2 0.0085 -
p ** -
Y2H if Self R2 0.0123 0.0004
slope −0.3145 −0.0221
p *** ns
Y2H if Non-self R2 0.0070 0.0154
slope −0.0839 −0.1113
p ** ***
Y2H × Self Interaction R2 0.0059 -
p ** -

1 removed Y2H if Self and Y2H if Non-self.

2 also removed Noise if TATA(+), Noise if TATA() and restored Noise.

3 also removed Y2H if Self and Y2H if Non-self and restored Y2H PPI.

4 removed Noise if TATA(+) and Noise if TATA().

After extensive model building, we found that high plasticity is predicted by low stickiness (low Y2H degree), presence of a TATA box, ability to bind itself, and high noise. The TATA × noise and self-interaction × Y2H interaction terms are also statistically significant. To provide greater insight, we transformed the interaction terms as described in the Table 1 legend. R2 values are shown for each predicting factor in isolation (last column), as well as, more importantly, for the reduction in the total coefficient of determination R2 when the factor is removed from the best model. Sometimes, as indicated in the footnotes, this involved removing multiple terms and reversing the interaction factor transformation to get a biologically interpretable result. “ns” indicates p > 0.05, * p < 0.05, ** p < 0.01, *** p < 0.001.

Brettner and Masel

Brettner and Masel BMC Systems Biology 2012 6:128   doi:10.1186/1752-0509-6-128

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