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Finally, variations of individuals and limits of the depth detection of the model were discussed.
In both cases, bacterial bioluminescence allowed faster and more sensitive detection of the model toxicants; the fluorescent reporter proteins were much more stable, and following long-term exposure allowed detection at levels similar to that of the bioluminescent sensors.
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However, the Predict estimates did not utilise the mode of detection component of the model as the mode of detection was not available for the British Columbia cohort.
For the detection of epistasis the model was extended and included the main effects of the two loci q and q', X q b q and X q ' b q', and the interaction effect of the marker pair under consideration X qq ' b qq'.
To test the detection capability of the model, human chromosome 19 (63 million base pairs) was screened.
The detection capabilities of the model were tested with simulated outbreaks.
Early detection performance of the model was quantified by the logarithmic scale of enrichment plot (logAUC) value.
The previously described components have dealt with the dependence of nuclei within a time point, but not across time points, and can be loosely thought of as the "detection" part of the model, but not the "linking" part, of the model.
Given a parameter set and the experimental combinations, for which we refer to Table 1, we can compute the detection thresholds of the models.
The probability of detection by the model bccr (60%) is the highest and can be selected as the best performed model as compared to other models (Table 7).
In order to prevent such cheating behavior, we construct a (k,n) secret image sharing scheme with cheating detection under the model of cheating detectable secret sharing scheme.
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