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A consistent model selection procedure is further developed to select the significant auxiliary variables.
In this paper, a strategy-aligned fuzzy approach is developed to select the best segment-strategy in market segment evaluation and selection problem.
A fast algorithm is also developed to select the optimal regularization and smoothing parameters.
Next, a statistical model based on receiver operating characteristic (ROC) analysis is developed to select the dominant features.
In this work, an expert system is developed to select the best correlation(s) for specific well and flow conditions.
An optimization algorithm is developed to select the best absorber parameters for vibration suppression of a specific primary system.
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Here we describe the algorithm we developed to select participants with the greatest potential for actionable variants (the "selection algorithm,") and the algorithm we developed to rank variants with highest impact (the "ranking algorithm").
An iterative divide-and-conquer algorithm was developed to select efficiently both the pre-screening 1.8 M panel and the final 600 K panel.
A MATLAB program was developed to select and quantify the area of these regions automatically (Figure 6).
Secondary screens were developed to select for variants with the highest purification yields, and to also eliminate any false positives.
A PERL script was developed to select only 1 1 orthologous sequences from the OrthoMCL output such that only a single gene copy was selected from each predicted proteome.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com