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On the first step the marginal likelihood of the null model is calculated. Then each TF is evaluated as a variable independently and only TFs whose marginal likelihood is higher than the null model’s are further expanded. The highest marginal likelihood of the single TF models is selected as a threshold or bound to evaluate the nested models with two TFs.
