Table 5 Linear model parameters

Baseline gene i expression

α_i ~ Normal(0,${\tau }_{\alpha }^2$)

TF linear effects

β = (β₁, ..., β_J) ~ MultivariateNormal(0,I·${\tau }_{\beta }^2$)

TF interaction effects

γ = (γ₁₂, ..., γ_JK) ~ MultivariateNormal(0,I·${\tau }_{\gamma }^2$)

Residual gene expression variance

σ² ~ Inv-${\chi }_2^2$ (inverse Chi-square)

Prior distribution weights

w _j ~ Uniform(0,1)