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Contextual values influence scientific methods by determining the acceptable amount of inductive risk.
This allows one to empirically evaluate performance characteristics of analytic methods by determining the frequency with which a method obtains the known right answers.
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We indicate in these examples the effect of the amplitude error in the method by determining enclosure intervals for different values of ε.
We indicate in these two examples the effect of the amplitude error in the method by determining enclosure intervals for different values of ε.
We demonstrate the efficiency and accuracy of the method by determining the global structure of a 71-nt RNA using experimental data.
The texture of the CdTe shell was quantitatively analyzed from the Kα1 component in the framework of the Harris method by determining both the degree of preferred orientation and texture coefficients[40, 41].
Thus, we can assess the reliability of the CSIDOP method by determining how well it worked in function prediction for those GO-characterized proteins and predict functions for proteins that are currently not characterized in GO in the test dataset.
Paliakov et al. [ 148] validated their UHPLC-UV method by determining accuracy, precision, linearity, LOD, LOQ, sample stability, and recovery.
The positive predictive value (PPV) of reports of potential cases was calculated for each type of surveillance method by determining the ratio of cases to reports.
Next, a single averaged dataset was generated for each method by determining the geometric mean for each array element from a given set of replicates.
In future work, we aim to further improve the method by determining the best parameter settings for the association rule learning, but also investigate other phenotype co-occurrence pattern recognition methods.
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methods by examining
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methods by taking
methods by introducing
methods by including
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methods by allowing
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methods by utilizing
methods by integrating
method by determining
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methods by increasing
methods by measuring
methods by adding
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