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One of the main differences between the simulation methodology we used and those used by others is the taxon sampling procedure: our datasets included clade-based source trees and scaffold source trees, while the technique used by both Bininda-Emonds and Sanderson and Criscuolo et al. produced only scaffold datasets, because their taxa were always randomly selected from the full dataset.
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To evaluate the ability of ΔDIC to choose between models, we use the simulation methodology suggested in the section Simulation-based evaluation of DIC.
The good agreement between the theoretical and experimental values provides validation for the simulation methodology.
In order to validate the simulation methodology, the LEU first core of TRR is simulated.
The simulation methodology is as follows.
Section IV discusses the simulation methodology and results.
In this context, [13] extended the simulation methodology proposed by [14], introducing the evaluation of the mutual interaction between dwell times and train delays.
Simulation results are presented for the center cell i=0, following the simulation methodology explained above.
We fix the number of core banks as n C =10.9 The simulation methodology is analogous to the section "Simulation methodology".
Then, Section 4 presents the simulation methodology used to assess the performance of the new algorithms.
CW & JS advised on the simulation methodology and revised the protocol critically for intellectual content.
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