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For simplicity, when separate incremental counters were used, we used the dominant sample type for our analysis.
At a read mixture of 80 20, the dominant sample was still accurately genotyped, although a longer branch length was observed due to homoplasious SNPs and unwarranted additional phylogenetic steps (Additional file 10).
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Figure 2 analyzes the accuracy of the bound obtained by the dominant samples.
Since the sharpness of (32) depends on the value of the th dominant sample (it becomes sharp if the value of the th dominant sample is small), this expression can be used to estimate the number of dominant samples to be used for giving efficient bound on BER.
If the bound using the th dominant sample drops below a predefined value then the number of samples needed to approximate BER can be obtained as follows: (33).
In Section 4.2, we will evaluate the tightness of the bound based on the th dominant sample.
where the second term can be upper bounded by using the th dominant sample.
where can be substituted by its approximation using the first dominant samples.
We found tunable nonlinear optical behaviors, reverse saturation absorption in the amorphous-phase dominant samples, and saturation absorption in the nanocrystalline-phase dominant ones, under femtosecond laser excitation.
The chosen golden negative dataset has a variable impact on the prediction performance, and it can be artificially inflated by a bias towards dominant samples in the positive data.
The selection of golden standard negative dataset has an important impact on the prediction performance, and it can be artificially inflated by a bias towards dominant samples in the positive data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com