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The full overview of the prediction performance for individual parameter combinations is presented in Tables S3, S4, S5.
An overview of the prediction scheme is show in Figure 1.
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Table 2 gives an overview of the predictions for the control and test group at 15 minutes, 1 hour and 5 hours.
The output report of BindN+ includes a summary of the prediction result, an overview of the predicted DNA or RNA-binding residues, and detailed information about the prediction for each residue.
To provide an overview of these predictions, the estimates were summed to produce totals for each half of the year, for every year after regulation.
Guigó et al.'s EGASP paper (8) provides a good overview of the different prediction tools available and the accuracy with which they predicted various gene features on a region of the human genome.
This paper presents a brief overview of the noise prediction methods and tools used in the Netherlands.
An overview of the environmental prediction valuation methodology is described.
An overview of the MVC prediction structure is presented in Section 2. In Section 3, two new methods for skipping disparity estimation are proposed.
A network overview of the TargetScan predictions for Group A is shown in Figure 3 to summarise the potential interactions.
Section 3 presents an overview of the HEVC intra prediction algorithm as well the proposed gradient-based intra prediction.
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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