Sentence examples for generate prioritized from inspiring English sources

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Here, we discuss a recent comparison study [ 7] of different methods that generate prioritized lists of candidate biomarkers using data from small, hypothesis-generating studies.

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Exploratory studies using aggregate data, such as geographic correlation studies, offer an alternative approach for generating, prioritizing, and analyzing data to address specific hypotheses of disease etiology and causation.

To provide easy access to gene-disease data for the research community, RGD has put major effort into disease curation by first generating prioritized disease-associated gene lists from major disease databases.

The analyze networks algorithm, a variant of the shortest paths algorithm, uses relative enrichment and relative saturation to generate subnetworks prioritized by their number of canonical pathways [19].

L2: High inner motivation of participants leads to high numbers of generated and prioritized needs.

Once the solutions had been generated and prioritized, participants individually completed the task of identifying actions they could take to achieve the priority solutions.

Questions about the basic biology, clinical science, delivery of health services, and broader determinants of infectious diseases in older adults need to be generated and prioritized.

The workshop was used to generate and prioritize ideas from the participants that related to the contents and principles of the portfolio.

Subsequently, in stage 3; Community Assessment, participatory methods were used in both male and female FGDs with the nominal group technique to generate and prioritize 10 15 indicators for the CSC and eventually score performance on a scale of 0 10.

However, despite the limitations imposed by our sample, we believe that the format used for this workshop can serve as a model for other research groups who wish to generate and prioritize research questions.

BioNetwork Bench offers a powerful and easy-to-use tool for bench biologists to explore multiple high throughput datasets in the context of their specialized biological knowledge, to help them generate and prioritize hypotheses for further investigation using traditional molecular or genetic approaches.

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