Table 5.

Linear model parameters

Parameter	Details
Baseline gene i expression	αi ~ Normal(0,${\tau }_{\alpha }^2$)
TF linear effects	β = (β1, ..., βJ) ~ MultivariateNormal(0,I·${\tau }_{\beta }^2$)
TF interaction effects	γ = (γ12, ..., γJK) ~ MultivariateNormal(0,I·${\tau }_{\gamma }^2$)
Residual gene expression variance	σ2 ~ Inv-${\chi }_2^2$ (inverse Chi-square)
Prior distribution weights	wj ~ Uniform(0,1)

TF, transcription factor.