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The dislocation reaction model for variant selection during the austenite-to-martensite transformation was first suggested by Sum and Jonas.
We develop a stochastic model for variant CJD transmission, taking into account the known transmission routes (food and red-cell transfusion) to assess the remaining uncertainty in the epidemic.
We introduce a simple data-adaptive model for variant calling.
It integrates over 60 different annotations into a single model for variant deleteriousness, showing a significantly higher performance than previous methods [ 47].
Here, we propose a simple probabilistic model for variant calling using a data adaptive threshold on the scale of log-odd-ratios computed from empirical distributions of certain site characteristics.
We have presented a data adaptive model for variant calling based on easily accessible read characteristics, namely the log-likelihoods of nucleotide qualities, relative read positions, alignment errors, multiple hits and the mismatch rate at a position to obtain a score.
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A model for variants spatial arrangement for this lattice correspondence is proposed and validated by the experimental observations.
Bubble formation models for variant gas-liquid flow patterns have been developed based on force balance.
The two most commonly used tools for SNV calling methods, SAMtools and GATK, employ probabilistic models for variant calling.
The statistical tests mentioned above do not explicitly measure class separation between hits and non-hits based on their prediction values, which is a key outcome for investigating the predictive accuracy of models for variant prioritization.
And the model tests for variant PM11 was carried out in CSSRC, which shows that the resistance of optimized variant PM11 is decreased by about 8.6%.
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