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We propose a statistic method to compare extensions of the functionally important regions of apicoplast-targeted proteins.
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We use a statistic method to obtain values for the above parameters.
Finally, a prototype of this statistic method to frequency estimation was built.
He proposed a statistic called D2, to study the correlation between two sequences.
Nixon [ 69] proposed a new method to avoid this problem.
The results are confirmed to be useful by comparing with those of a statistic method.
Recently, Wagner proposed a method to detect such mutation clusters.
We also proposed a method to account for intermittent barriers.
Finally, we propose a single statistic, referred to as semantic distance, that can be used to rank classification models.
Therefore, we propose a supervised method that applies pathway information to summarize similarity statistics to a consensus statistic that is more informative than any of the single measures.
We propose a novel method for computing an association statistic which takes into account prior information.
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CEO of Professional Science Editing for Scientists @ prosciediting.com