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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.
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.
Possible lessons include that substantial and long-term investment in technology, methods, and networks is beneficial in building a robust HSPA set-up as in Canada and that champions are useful in putting and keeping HSPA on the agenda, as noted in Australia, Canada (ministers of health and heads of government) and the Netherlands (policy makers and researchers).
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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.
In principle, there are two kinds of computational methods: the sequence-based methods and network-based methods.
We also conducted experiments on various combinations of gene-expression data generation methods and network inference methods.
Many studies based on sequence-based methods and network-based methods have been made in protein's gene phenotypes identification [ 21– 23].
However the distinction between gene-set methods and network methods in this study is that gene-set methods do not incorporate any network edge information (vide infra) into the feature selection procedure or the feature values.
Tap into disciplines beyond public health such as behavioral economics, the science of decision making, private-sector market research methods, and network analyses.
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.
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