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An alternative idea that avoids applying the backward filter was proposed by applying the error filter F on the regression vector.
Next, the standard deviation (SD) and standard error on the normalised gene of interest (GOInorm) expression levels were calculated by applying the error propagation rules for independent variables.
Figure 8 shows the residuals between the responses observed and predicted from the final model, which were normalized based on the relative errors (delta Z/left| Z right|) after applying the error floors.
The overall standard error of the mean normalized expression was obtained by applying the error calculation based on Taylor's series as developed for REST© software [ 79].
The effect of this approach is shown in Figure 4, where the unfiltered parentage results are displayed in comparison to the results after applying the error control algorithm, based on a Z total of 5.0 as delimiter.
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Most importantly, after applying the error-correction algorithm, this distance was reduced to 35 pixels (0.8°).
As can be seen, before applying the error-correction algorithm, most fixations tended to be within the range of 30 (0.7°) to 60 pixels (1.4°) away from stimuli.
In the illumination error case (both local and global), we apply the error only on one of the images.
For the sake of simplicity, we would like to apply the error propagation formula to the derived variables,.
Minimum and maximum values, after having applied the error or noise models, of the images are limited to [0,…,255].
SCTP marks each newly created path as "active" and applies the error count to monitor the path condition.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com