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This dual-thresholding approach and the actual choice of thresholds guaranteed a very small probability of spurious detections for probe selection, as we showed using Monte Carlo simulations and random permutations of probe labels and beta-values (see the ' Methods' section).
The choice of thresholds α(0≤α≤1) is critical.
As we have seen in section 3.2, the choice of thresholds in such tests may reflect contextual value judgments and personal bias.
Then optimal reconstruction in a FE scheme is obtained by the following choice of thresholds tau_{s}=lambdafrac{g_{s}^{-1}(w)+g_{s-1}^{-1}(w)}{2}.
This is reflected in our choice of thresholds (E_{theta}), (I_{theta}), and standard deviations (E_{mathrm{sd}}), (I_{mathrm{sd}}); see also Fig. 2.
In genome-wide association studies (GWASs), the practice regarding the choice of thresholds of significance and of thresholds used to include single nucleotide polymorphisms (SNPs) in a further validation stage is not well known.
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The performance of these detection algorithms would be largely influenced by the choice of threshold.
As a result, the choice of threshold value is critical for correct signal detection.
Therefore, the choice of threshold becomes a trade-off between the detection performance and computational cost.
However, no a priori choice of threshold sensitivity has been made.
To determine the precedence it is important do correct choice of threshold values of important qualitative and quantitative attributes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com