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Data from: Comparison of biometrical models for joint linkage association mapping
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- detection power. Three linear models and four linear mixed models with different approaches to control for population stratification were evaluated. Models
Data from: Comparison of non-Gaussian quantitative genetic models for migration and stabilizing selection
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- of the population mean from the optimum are highly similar across the different models, so that the non-Gaussian infinitesimal model forms a good approximation. It doe
Data from: Model choice for phylogeographic inference using a large set of models
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- , we also specify models in a more objective manner by simulating prior distributions for 143 models that included panmixia, population isolation, change
Data from: A new hierarchy of phylogenetic models consistent with heterogeneous substitution rates
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- well, with the best performing models having 8–10 parameters and the ability to recognize the distinction between purines and pyrimidines.
Data from: Mechanisms of reciprocity and diversity in social networks: a modelling and comparative approach
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- Puga-Gonzalez, Ivan
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- ter the social networks metrics observed in empirical data, but failed to reproduce some grooming patterns. The symmetry-based models, on the other hand, fitted bet
Data from: Intertemporal similarity: discounting as a last resort
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- a discounted value. Alternative models propose that, rather than integrate across them, individuals compare within attributes (amounts and delays) to determi
Data from: Bayesian phylogenetic analysis of combined data
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- for complex models, mixing is adequate for all parameters even under very complex models, and the parameter update cycle is virtually unaffected by model
Data from: Comparison of infinitesimal and finite locus models for long-term breeding simulations with direct and maternal effects at the examp
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- Plate, Manuel
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- simulation studies animal breeding direct and maternal effects honeybees infinitesimal model finite locus model
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- ween the effects of r_md = ?0.18. Another set of simulations was run with parameters h2_m = 0.53, h2_d = 0.34, and r_md = ?0.53. All models showed similar behavior
Data from: The relationship between dN/dS and scaled selection coefficients
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- dN\/dS;mutation-selection models;Markov models of sequence evolution;scaled selection coefficients
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- models, and use this relationship to gain deeper insight into the behaviors, limitations, and applicabilities of these two modeling frameworks. We prove
Data from: Geometric models to explore mechanisms of dynamic shape change in skeletal muscle
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- the range of fascicle velocities over which a muscle operates. However traditional muscle models are 1D and cannot fully explain in vivo shape
