Author: Xueting Qiu; Justin Bahl
Title: Structurally informed evolutionary models improve phylogenetic reconstruction for emerging, seasonal, and pandemic influenza viruses Document date: 2017_12_4
ID: ml5ra9x1_4
Snippet: Model selection 101 To compare the four models, the log scale Bayes Factor (BF) was used, which was the 102 difference of log marginal likelihood estimations from two models. Marginal likelihood 103 estimation was conducted with two approachespath-sampling and stepping-stone sampling, 104 where both generated consistent results. Based on the model selection procedure for all subtypes 105 ( Fig. 1) , the model with mixed partitioning on both codon.....
Document: Model selection 101 To compare the four models, the log scale Bayes Factor (BF) was used, which was the 102 difference of log marginal likelihood estimations from two models. Marginal likelihood 103 estimation was conducted with two approachespath-sampling and stepping-stone sampling, 104 where both generated consistent results. Based on the model selection procedure for all subtypes 105 ( Fig. 1) , the model with mixed partitioning on both codon positions and HA protein structure 106 (CP model in Fig. 1c ) had decisive BF support for better model fitting in all datasets compared to 107 All rights reserved. No reuse allowed without permission.
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