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Out-of-plane Brownian diffusion causes a reduction of the signal-to-noise ratio of the cross-correlation peak, and such an error was estimated.
The mean probability of such an error was estimated from the fraction of erroneous calls among all calls made across the control plasmid, which later served as the baseline error rate in our variant detection model.
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In order to understand the situation better, the upper bound of such an error is estimated firstly, and then the global exponential convergence rate is investigated for such a GNN when approaching an error bound.
The in vivo CT to ex vivo CT registration error was estimated using a 'leave-one-out' strategy as follows.
Random error was estimated using a curve-fit method; outliers were automatically detected and then excluded from subsequent analysis, based on thresholds computed over the entire dataset (in median absolute deviation (MAD) and standard deviation (sd) units).
The standard error was estimated using a standard linear approximation (Kendall and Stuart, 1969).
Genotyping error was estimated from a random set of twice genotyped markers, 11 loci and 50 clones genotyped by two different people.
The limit of resolution of V1/2, the parameter with the largest error, was estimated with a z-test which formally tests for the difference between the mean of a population and a hypothetical mean.
Error was estimated by statistical bootstrapping.
The genotyping error was estimated at 4.4%.
The goal discretization error is estimated using a sum of weighted local discretization errors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com