Sentence examples for optimal use of data from inspiring English sources

In times of economic hardship, it is in the interests of all curation resources to make optimal use of data and tool sharing efforts and for larger, comparatively well-funded resources to support the activities of smaller communities who can add valuable, domain-specific information to a larger common dataset.

Record linkage enables the optimal use of data from cohort studies because it permits "passive" follow-up, so that even if participants have been lost to follow-up from the study, information on specific health outcomes can still be obtained [ 11].

Although a number of factors, from tissue acquisition to compilation of clinical data, conspire to complicate the task of identifying prognostic gene expressions (reviewed in [ 31, 32]), we focus here upon two vital considerations in the analysis of microarray data sets: optimal use of clinical data and rigorous, robust mathematical analysis.

A time delay in the availability of observatory data therefore hampers the optimal use of these data in combination with most recent satellite observations.

To make optimal use of our data and avoid deleting information during multivariate analyses, we imputed information on sexual risk behavior that was missing from our questionnaires.

The Bayesian approach to MTC modelling is the most flexible, allowing the inclusion of a wide range of data and borrowing strength across the network ensures the optimal use of the data.

Two characteristics influence the optimal use of these data sources with the RIG workflow: (i) the method used to produce the source's raw data from which variants are called, and (ii) the experimental design behind the source.

As a consequence, informative hypotheses are much closer to the actual questions researchers have and therefore make optimal use of the data to provide more informative answers to these questions.

Although this is not an optimal use of the data and using only one plausible value produces estimates that do not contain between-imputation variance (Rutkowski et al. 2010), it is sufficient as a pedagogical example.

Making optimal use of these data is a significant challenge for bioinformaticians.

Cook et al. [ 1] suggest that the optimal use of available data would involve a formal meta-analysis of ICC estimates.