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Clearly no single model or platform can provide all the predictions needed.
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The direct application of existing analytical approaches to beams with sinusoidal openings showed that the predictions need to be improved.
These results suggest that some of the sequence data currently available in the database needs reanalysis and the predictions need to be validated by experimentation.
For a prediction to be counted as a true positive (G/G) or true negative (NG/NG), the prediction needed to match one or more experimental observations.
Here the acceptable performance overhead for the prediction needs to be demonstrated.
Furthermore, as medical device helping clinical decision making, the prediction needs to be made for each single patient with a measure of its reliability.
Therefore, the prediction needs to be expressed as a probability.
In addition, the prediction needs to be evaluated in an independent dataset (external validation) to demonstrate its value.
By using the developed statistical relationships, predictions needed for calculating the objective function value can be quickly obtained during the search process.
iExchange.com, a site that permits people to share stock market advice and rates them on the accuracy of their predictions, needed to beta test for two reasons.
However in this case, all animals involved in the prediction need to be genotyped.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com