Table 10

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

Method (feature in the logistic regression model)

Beta

P-value


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

GPI-MML

1.15

0.578

ANM-MML

-9.87

0.017

GPI

1.45

0.298

ANM-GAUSS

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:10.1186/1471-2164-13-S8-S22

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