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Analysis of the resulting large, multifaceted data sets to rapidly and accurately identify the metabolites is a challenging task that relies on the availability of chemical libraries of metabolite spectral signatures.
In order to interpret such multifaceted data one can take various perspectives.
The proper interpretation of this multifaceted data, with respect to the multiple comparisons problem and open questions on the combination of non-gaussian measures with classical statistical approaches, needs to be advanced in an integrative manner.
As a final step of our multifaceted data analysis approach, we tabulated significant transcriptional changes of individual genes that encode known regulators and well-studied virulence factors (Table 3).
The questionnaires yielded multifaceted data on the subject of learning achievements for future non-surgeons.
Furthermore, personalized medicine has to be based on the careful analysis of multifaceted data.
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We selected Kirkpatrick's Four Level Evaluation Framework (Kirkpatrick, 1994) because of its multifaceted, data-driven approach to evaluation.
This work focuses on the integration of multifaceted extensive data sets (e.g. laboratory values, vital data, medications) and partly unstructured medical data such as discharge letters, diagnostic reports, clinical notes etc. in a research database.
However, the nature of dense, multifaceted neuroscience data and the design of classic search engine systems make efficient, reliable, and relevant discovery of such resources a significant challenge.
However, the nature of dense, multifaceted neuroscience data and the design of contemporary search engine systems makes efficient, reliable and relevant discovery of such information a significant challenge.
Democratic processes are multifaceted and open data can be used for various purposes, with diverging roles, rules and tools by citizens and public administrators.
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