Skip to main content

Table 2 Analysis of four factors and their interactions affecting expression variation using stepwise selection with AIC.

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

variable Ca_Na_exposure Chemostat Environmental Stress Oxidative Stress
  model p value R2 model p value R2 model p value R2 model p value R2
x1 0.4252 0.05% 0.1582 0.16% 0.0647 0.28% 0.1075 0.21%
x2 0.3721 0.06% 0.0635 0.28% 0.0861 0.24%   0.8729 0.002%
x3 1.16E-20 6.76% 4.59E-09 2.73% < 2e-16 13.42% 7.30E-09 2.65%
x4 3.22E-12 3.83% 7.96E-10 3.00% < 2e-16 6.92% 0.8841 0.002%
x1*x2             
x1*x3             
x1*x4 0.0581 0.29% 0.0100 0.53%     0.0348 0.36%
x2*x3     0.0422 0.33%       
x2*x4 0.0226 0.41% 0.0036 0.68% 0.0108 0.53%    
x3*x4 0.0039 0.67% 0.0185 0.45% 6.2e-09 2.71%    
R2model 16.36% 12.73% 22.39% 4.43%
  1. The four main factors include protein interaction degree (x1), toxicity degree (x2: treat essential genes as ones with toxicity degree 4), number of TFs (x3), and the presence of TATA box (x4: 1-TATA containing genes, 0-non-TATA containing genes). The protein interaction data used in this analysis is based on the MIPS dataset. The column marked with "√" indicates inclusion in the final linear model. The multiple linear regression is based on the final linear model, respectively. The p-value is related to the null hypothesis that β ≠ 0 versus β = 0. R2 is the variation explained by the model and each independent variable, respectively.