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An LDPC decoding algorithm also plays a vital role in determining error correction and decoding performance.
Whose figures will they use in determining error or financial loss?
As Dudoit et al. (2004) noted, bootstrapping resampling techniques can be used to directly model the joint distribution of the null test statistics so that the dependence of genes is implicitly factored in when determining error rates for different cutoffs.
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Fig. 1 Example of evaluation of the detection (gray areas) of a VAD algorithm by determining errors (striped areas) compared to the reference.
If we use pharmacist interventions in determining errors, we are measuring possible/potential errors.
The result is used to determine error bounds when approximating transcendental functions by truncated power series.
Using this empirically determined error rate, we compared observed sequence differences in the toxin genes to the expected distribution of errors generated by a binomial probability mass function [19].
Additionally, we determined error rates for this method using the artificial EST mix and validated the technique using our EST data set.
Violations were reported by 14 studies, which were limited predominantly to data collection methods involving (at least in part) conversations with subjects to determine error causality.
This finding indicates that it is not merely the proportion of reads relative to reference sequences that determines error rates and patterns.
For this reason content analysis was used to identify key themes (based on frequency) as well as determine error severity level using common severity metrics used in the field of usability testing [ 40, 41].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com