Table 2. Linear regression models.
Model name | Linear regression model |
Model 1 | Y∼H+Γ+H∶Γ+I+H∶I+Γ∶I+ H ∶ I ∶ Γ |
Model 2 | Y∼H+Γ+H∶Γ+I+ H ∶ I +Γ∶ I |
Model 3 | Y∼H+Γ+H∶Γ+ I |
Model 4 | Y∼H+Γ+H∶Γ |
The table shows the linear regression models, which are tested on the van Erp dataset. The linear regression models hold the variables genetic background Η, IFN-γ stimulation Γ, and the bacterial strain I. The dependent variable Y is given by gene expression matrix. The fat letters symbolize the additional variables in the model.