Sentence examples for data generation and analytical from inspiring English sources

Exact(3)

One very clear outcome from the symposium was that there is a general convergence across the species, in terms of questions being asked, technologies, data generation, and analytical tools.

Three methods have been used for design of reservoirs: empirical, experimental or data generation, and analytical.

In order to ensure reliability [ 30, 31], objective and comprehensive records of the data generation and analytical processes were maintained.

Similar(57)

Thus, clinical implementation of OncoMap must incorporate both genomic data generation and bioinformatic analytical expertise into a molecular pathology or clinical diagnostic setting.

A fundamental reason for this discrepancy between data generation and clinical improvement is the relatively immature use of experimental designs and analytical methodologies to handle and meaningfully interpret high-throughput data types.

Data generation can be classified into active data generation and passive data generation.

As GWAS worldwide are expanding to include multi-ethnic and admixed populations, we describe here the steps used for genetic data generation, study design and analytical procedures applied in the Generation R Study.

For these programs, we need to develop an appropriate IT framework, learn to train healthcare and wellness coaches, create effective and integrated data generation platforms and pioneer the analytical tools that will allow the creation of predictive and actionable models for each participant's data cloud.

Data generation, coding, emerging interpretations and analytical categories were discussed with steering group members every 12 weeks.

In this paper, we describe the methodological steps surrounding genetic data generation, quality control, study design and analytical procedures needed to run GWAS in the multiethnic and highly admixed Generation R Study, a large prospective birth cohort in Rotterdam, the Netherlands.

Our expertise in data discovery, data creation, data management and analytical tools supports the generation and dissemination of new knowledge.

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