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Using the deterministic model, a random model of antibiotic resistance will be obtained by adding random effect terms to the parameters of the equation system.
Whereas the %CC of the training set is 92.36%, that for the test set is 38.19%, only slightly above a random model of 33.33% as there are three sampling days [55].
The simulation experiments served to demonstrate that the breakpoint positions are incompatible with a random model of breakage.
In brief, AUC values were created by comparing model performance to a random model of associations between presence localities and environmental predicting factors [ 66].
Needless to say, these data demonstrate a high stringency of computer-generated gene profiling even when applied to a random model of host-pathogen interaction.
We sought to determine whether the removal of protein-protein interfaces via alternative splicing occurs at higher or lower frequencies compared to what happens under a random model of splicing.
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They also lack a random modeling of the interfering signal's attenuation.
A random model consisting of random differential equations is obtained by using the existing deterministic model.
Finally, we select the least probable, given a random model, set of positions and call them SDPs, for these are the positions that correlate best with grouping of sequences by specificity.
Thus, under a random model, ~1.23% (37.9/3093) of the 526 observed breakpoints intervals would be predicted to overlap with a fragile site.
Where there were at least two investigations, meta-analysis was performed using a random model and homogeneity of the prevalence values was assessed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com