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Based on the observed characteristics, a statistical model is proposed.
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Herein, we train a statistical model based on DNA sequence characteristics that not only identifies potentially imprinted genes, but also predicts the parental allele from which they are expressed.
Next, a statistical model that uses receiver operating characteristic (ROC) is developed to select dominant features.
Next, a statistical model based on receiver operating characteristic (ROC) analysis is developed to select the dominant features.
Such systems learn a statistical model to identify entity mentions by inferring which characteristics (features) distinguish them from the surrounding text.
PSM uses a statistical model to calculate propensity of invasion on the basis of the set of observable characteristics.
We then estimate a statistical model of reserve currency choice.
The estimates are derived from a statistical model using multilevel regression with post-stratification (MRP) on a large national survey dataset (n=9,217), along with demographic and geographic population characteristics.
The estimates are derived from a statistical model using multilevel regression with post-stratification (MRP) on a large national survey dataset (n>5,000), along with demographic and geographic population characteristics.
It is a statistical model-based VAD.
Different population characteristics and statistical models could also have affected these findings.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com