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If a method generated equal best predictions (i.e. two predictions with equal highest score or probability), both predictions were accepted.
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A cDNA prediction was accepted if it was supported by experimental data and/or multiple prediction methods; if possible, a variant closest to the consensus of the conserved domain(s) has been used.
Predictions not labeled as 'REJECT' were accepted as confident somatic mutation predictions, and considered for subsequent downstream validation and analysis steps.
The proteins passing the cutoff defined in the predictive methodology based on the amino acid composition of a continuous stretch of sixty residues [ 38] – i.e. what was proposed to be a typical length of PrD-cores– were accepted as predictions.
All corrected predictions were communicated to WormBase annotators and nearly all were accepted as appropriate.
The sSNVs that were accepted by MuTect were then used as its high confidence (HC) predictions.
Among these three phases, different prediction models are accepted due to different failure mechanisms.
So far, there is no clear focus in the community for assessing whether an AD established with training data is able to successfully point out if a new prediction may be accepted or not.
None of the current epileptic seizure prediction methods can widely be accepted, due to their poor consistency in performance.
Inferences from adequate explanations to potential predictions were generally accepted, but not the converse.
If the prediction is not met, or rather, if it is accepted that the prediction is not met, falsification of the theory occurs" [ 24].
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