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Finally, a comprehensive set of performance evaluations is conducted, using both analytical methods and network simulation.
Link-tracing designs such as snowball sampling, random walk methods, and network sampling are described, along with adaptive allocation and adaptive cluster sampling.
By leveraging the API along with other existing open source and freely available software libraries for visualization, numerical methods, and network algorithms, it is possible to produce decision support tools that relate pollution sources to downstream loadings.
To evaluate the effect of study identification methods and network size on the relative effectiveness and cost-effectiveness of recommended pharmacological venous thromboembolic events (VTEs) prophylaxis for adult patients undergoing elective total knee replacement surgery in the United Kingdom.
We also conducted experiments on various combinations of gene-expression data generation methods and network inference methods.
Tap into disciplines beyond public health such as behavioral economics, the science of decision making, private-sector market research methods, and network analyses.
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Their methods and networks could be useful, particularly in countries, such as the ex-Soviet states, newly opened to foreign investment.
In principle, there are two kinds of computational methods: the sequence-based methods and network-based methods.
Many studies based on sequence-based methods and network-based methods have been made in protein's gene phenotypes identification [ 21– 23].
However, co-expression networks are often constructed by ad hoc methods, and network-based analyses have not been shown to outperform the conventional cluster analyses, partially due to the lack of an unbiased evaluation metric.
Three approaches (SPICi, MCUPGMA, MCL) can cluster four of the networks, and we focus on these methods and networks in our analysis in the main body of the article.
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