Bayesian Variable Selection Approaches to Identifying Selection in Evolutionary Datasets
We consider the problem of identifying individual sites and characters under selection in phylogenetic datasets. We introduce an approach based on the application of Bayesian variable selection to mutation-selection models, which enables both sites and selection coefficients to be explicitly excluded from the model in order to control parameter complexity. We provide an accelerated Gibbs sampling…
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