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Most EDAs explicitly use the probabilistic model to sample new solutions without using traditional genetic operators.
This was addressed by constructing a model to sample alternative spindle architectures with the same polymer mass as wild-type spindles.
By identifying dishes with peptides and, respectively, customers with mass spectra, we obtain a simple model to sample peptide assignments, i.e. simulate experiments and in particular estimate the expected number of new peptide discoveries.
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Simulation studies can provide insights on the sensitivity of the mixture model to sampling decisions and characteristics of the stocks.
In order to assess the robustness of the model to sampling variation, we used data from 2008 and ran twenty additional models with 75% training and 25% test sites that were randomly selected from the original dataset.
To apply this model to samples containing unknown targets, we performed an exhaustive BLAST search for every probe on the array against a comprehensive database of complete microbial genome sequences.
Hyper-spectral data allows the construction of more robust statistical models to sample the material properties than the standard tri-chromatic color representation.
Nguyen et al. (2016) applied a DEA model to a sample of 43 Vietnamese ports.
Since online shopping is only observed for Internet users, we use the Heckman's two-step model to correct sample selection.
In our study we applied behavioural model to a sample of frail elderly persons to assess their use of services.
But when we applied the model to our sample, the reason for the low sensitivity became clear.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com