Sentence examples for data across a wide range from inspiring English sources
The financial model developed is complex in nature involving the application of a range of national multiplier and wage data across a wide range of industry sectors for a number of different countries.
Through analysis of simulated data across a wide range of practical scenarios and triglyceride data from the Dallas Heart Study, we show that SKAT can substantially outperform several alternative rare-variant association tests.
This study has analysed data across a wide range of cohorts from different geographical locations and with different age ranges.
By collecting biochemical, electrophysiological and behavioral data across a wide range of ages, from presymptomatic to late stages, we have obtained a comprehensive picture of disease progression.
The period of follow-up was >25 y and included high-quality data across a wide range of life course outcomes.
These results demonstrate that GEM-TREND could retrieve biologically relevant microarray data across a wide range of microarray experiments in GEO by detecting the similarity of gene-expression pattern.
The BioExpress System provides gene expression data and associated clinical and pathological information across a wide range of normal and diseased specimens across major disease areas including cardiovascular, oncology, central nervous system, inflammatory, and metabolic diseases.
The study concludes: "The key finding from the impact evaluation using administrative data was that across a wide range of outcomes, covering the key objectives of the programme – employment, benefit receipt, school attendance, safeguarding and child welfare – we were unable to find consistent evidence that the troubled families programme had any significant or systematic impact".
Arabidopsis expression data is available across a wide range of perturbations of nutrients, stress, and light, in the framework of defined organs, genetic backgrounds, and developmental stages.
Although much has been learned about molecular components and subcellular processes, the integration of data and models across a wide range of spatial and temporal scales, taking us from observations at the cellular or subcellular level to understand tissue level phenomena, remains an unchartered territory.
The UK, with its connectivity and rich longitudinal patient records, accumulated research and informatics experience and National Health Service, provides an exemplar of how real world data address a wide range of challenges across drug development.
