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We presented two temporal prediction models (user-centric and content-based) to compare the credibility of the content gathered from the selected users.
We also used other different searching strategies such as the Bayesian classification based method to compare the resulting networks.
For apicomplexan parasites, we suggest a statistically based method to compare the extension lengths of orthologous proteins that have orthologs in the cyanobacterium.
In terms of statistical analysis, Gorb used ANOVA based upon ranks to compare the variables of the four species and investigate the correlations.
Specifically, we use Bhattacharyya Coefficient based metric [20] to compare the distributions of similarity values between the sets of similar and dissimilar interfaces generated by each measure.
We present a methodology based on ALRs to compare the null hypothesis (no outbreaks) against the alternative hypothesis (presence of an emerging disease cluster).
The genetic algorithm is based on objective functions to compare the different solution couples.
A design based approach is used to compare the proposed strategy with the existing strategies.
Then we develop a linear programming based feature selection method to compare the two groups of metabolite profiles.
Broad based trials are needed to compare the efficacy of fluid expansion of colloids and crystalloids in children.
Obvious bases by which to compare the world's great rivers include the size of the drainage area, the length of the main stem, and the mean discharge.
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CEO of Professional Science Editing for Scientists @ prosciediting.com