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Table 3 The effect of two factors on expression variation stratified by the presence/absence of TATA box.

From: The effects of protein interactions, gene essentiality and regulatory regions on expression variation

TATA dataset
variable Ca_Na_exposure Chemostat Environmental Stress Oxidative Stress
  β p-value R2 β p-value R2 β p-value R2 β p-value R2
x2 -0.1436 0.0024 1.95% -0.0764 0.0034 1.81% -0.0510 0.156 0.43% 0.0081 0.778 0.02%
x3 0.0312 5.4e-10 7.90% 0.0168 1.5e-09 7.50% 0.0283 2.6e-13 10.79% 0.0138 4.8e-06 4.37%
R2 (model) 9.47% 8.97% 11.09% 4.39%
Non-TATA dataset
variable Ca_Na_exposure Chemostat Environmental Stress Oxidative Stress
  β p-value R2 β p-value R2 β p-value R2 β p-value R2
x2 -0.0167 0.402 0.06% -0.0026 0.8189 0.005% 0.0258 0.086 0.26% 0.0038 0.747 0.009%
x3 0.0502 < 2e-16 8.70% 0.0300 < 2e-16 9.56% 0.0468 < 2e-16 12.6% 0.0181 4.4e-10 3.40%
R2 (model) 8.85% 9.62% 12.67% 3.39%
  1. The linear model that includes the toxicity degree (x2) and the number of TFs (x3) is built for each of the four gene expression datasets, respectively. R2 is the variation explained by each independent factor and the model, respectively. β is the linear coefficient in the linear model, and the p-value is related to the null hypothesis that β ≠ 0 versus β = 0.