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_6
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. 177 With the largest dataset HPAI H5Nx in this study, sensitivity analysis was performed to 178 estimate the stability of model performance under different sample sizes. The same model fitting 179 and selection procedure was tested on randomly selected 80%, 60%, 40% and 20% of the H5Nx-180 full dataset. The model selection procedure (Fig. 4) showed that all.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. 177 With the largest dataset HPAI H5Nx in this study, sensitivity analysis was performed to 178 estimate the stability of model performance under different sample sizes. The same model fitting 179 and selection procedure was tested on randomly selected 80%, 60%, 40% and 20% of the H5Nx-180 full dataset. The model selection procedure (Fig. 4) showed that all these datasets had decisive 181 BFs to favor the structurally informed partitioning model with SRD06 (CP model). Tree root 182 height estimation (Table 3) Table 4 ). And the Early stage had a higher dC1+2/dC3, indicating it experienced 199 All rights reserved. No reuse allowed without permission.
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