Table 10 

Coefficients for the ensemble logistic regression model trained in the YEAST gold standard 

Method (feature in the logistic regression model) 
Beta 
Pvalue 


ANM 
1.20 
0.291 
PNL 
0.27 
0.750 
IGCI (Uniform/Entropy) 
128.03 
<0.0001 
IGCI (Uniform/Integral) 
135.07 
<0.0001 
IGCI (Gaussian/Entropy) 
99.20 
<0.0001 
IGCI (Gaussian/Integral) 
106.45 
<0.0001 
GPIMML 
1.15 
0.578 
ANMMML 
9.87 
0.017 
GPI 
1.45 
0.298 
ANMGAUSS 
0.40 
0.808 
LINGAM 
0.11 
0.963 


Bold values correspond to coefficients that are statistically significant at 0.05 alpha level. We note that due to multicollinearity among the IGCI Uniform methods and among the IGCI Gaussian methods, care must be taken when interpreting the logistic regression coefficients [36]. 

Statnikov et al. BMC Genomics 2012 13(Suppl 8):S22 doi:10.1186/1471216413S8S22 