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The 3D7 reference strain data was used to assess the baseline false positive rate.
To assess the baseline false positive rate of our method, we performed a simulation study based on 3D7 resequencing data.
We also demonstrated a low baseline false positive rate for the proposed methodology using 3D7 resequencing data and simulation.
In general, one can reduce the baseline false positive rate of any coverage-based method if mapping distance information is also taken into account.
Using simulation and resequencing data of the 3D7 reference genome, we have demonstrated a low baseline false positive rate of the methodology across different read depth.
First, it includes the re-sequencing data of the 3D7 reference genome thus allowing the direct estimation of the baseline false positive rate.
Similar(52)
Increasing genome size proportionally increases not only the baseline sequencing cost, but also the genome-wide false positive rate due to sequencing error.
The algorithm has a significantly lower false positive rate than PERCLOS the current gold standard and baseline, non-contextual, algorithms under design parameters that prioritize drowsiness detection.
The false positive rate was set empirically for each method and baseline to be 0.03.
Calculating a false positive rate (i.e. a specificity) requires assuming that the baseline syndromes did not contain any signals from true outbreaks in the community.
By using an alert rate instead of a false positive rate, we allowed for the existence of these signals in our baseline data.
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