Table 5

Linear model parameters

Parameter

Details

Baseline gene i expression

αi ~ Normal(0,

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)

TF linear effects

β = (β1, ..., βJ) ~ MultivariateNormal(0,I·

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)

TF interaction effects

γ = (γ12, ..., γJK) ~ MultivariateNormal(0,I·

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)

Residual gene expression variance

σ2 ~ Inv-

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(inverse Chi-square)

Prior distribution weights

wj ~ Uniform(0,1)

TF, transcription factor.

Chen et al. Genome Biology 2007 8:R4   doi:10.1186/gb-2007-8-1-r4

Open Data