The parametric analysis, based on the Eurocode 3, led to the development of a simple structural model implemented on the ANSYS finite element program.
The pair wise distances were calculated with the simplest K2P model implemented in MEGA4.
This is slightly simpler than the model implemented in divergence time estimation (GTR + γ4 + I; below), as the authors of BayesPhylogenies recommended against estimating the proportion of invariant sites.
The empirical saturation of the effect is not seen in the simple model we implemented, but, as discussed above, the sampling scheme was chosen for conceptual clarity and is deliberately unrealistic.
To test the robustness of the model to departures from the patterns seen in Städler et al. (2009), we made two simple modifications to the basic model implemented by Sampling.
In these cases, we utilize simple comparison linear models implemented in limma (Smyth 2004) to identify single oligos whose signal increased significantly in the ChIP channel.
In our previous investigations [48, 49, 50], we have shown that a simple classical receptive field model, implementing multiscale responses of a symmetrical ON-centre and OFF-surround RGCs, can easily reveal the emergence of tilt in these patterns.
This interacting pseudo-agent approach is first validated using a simple model before being implemented in a more comprehensive hospital ED model informed by data from a Canadian academic hospital.
