Sentence examples for by selection of model from inspiring English sources

The results suggest that the toxic effect of mammalian actin to plant cells may be concentration-dependent, and also could be avoided by selection of model system.

The uncertainty caused by selection of statistical models and parameter estimation procedures are analyzed by applying different models and methods.

Similarly, the assumption that uptake is achieved through roots alone can be met by the selection of model species, or by sterilizing soil prior to experimentation.

Final refinement for alignment of gap regions was performed by generating 100 additional models, followed by selection of the best model on the basis of the ANOLEA score.

The additive allelic effects in migrant fish (as indicated by the selection of model H01) were much stronger for the Sasa- DAA immunogenetic locus than for One107 and SsaG7SP, as indicated by the difference between observed and expected allele frequencies, which were substantially larger for the DAA locus than for the control microsatellites (Fig. 3).

The model reduction method developed in this work is based on the generation of a large set of candidate reduced-order models by elimination of terms from the original model, followed by selection of suitable reduced models from the generated set through checking against T-optimality design of experiments criteria.

Assignment of genetic clusters is performed under a ML framework by selection of threshold time modeling waiting intervals according to coalescent or Yule processes, respectively.

In all cases, the predicted PCE distributions were influenced by selection of the parametric model for capillary retention and relative permeability.

Only binary variables with an odds ratio significantly greater than 1 (p < 0.05) on the training data were considered likely to be chosen as potential morbidity predictors during selection of model features by a forward stepwise algorithm.

We confirmed that the failure of GLMMs to fit was not specific to the algorithm used by fitting a selection of models by penalised quasi-likelihood (using glmmPQL in R) [ 29] and Monte Carlo Markov Chain (using MCMCglmm in R) [ 30].

We also present inferential theory to guide the selection of model parameters controlled by the analyst.