Sentence examples for powerful dataset from inspiring English sources

By summer 2014, Kogan's company had created an expansive and powerful dataset.

Apart from the problems described, the CSWL is a powerful dataset whose size enables representative large subsamples to be extracted which emulate the whole population of pensioners.

I tested the validity of the parallel routes hypothesis with the most powerful dataset available, the Surveillance Epidemiology and End Results 17 registries (SEER-17) data collected in the year 2000 for the age-specific incidence of colon carcinoma.

This provides a robust and powerful dataset with low variance due to a combination of stringent experimental protocols and multiple biological replicates and its statistical strengths make possible sophisticated bioinformatic analyses and network predictions [55], [73].

The accrual of these new data, samples, and eventually genetic data make this a potentially powerful dataset for further research in genetics and health disparities.

There are few studies in the literature to date employing this systems biology approach and our original aim was to make use of a powerful dataset to investigate an example with a well characterized Cckbr (cholecystokynin receptor 2) knockout strain (Nagata et al. 1996).

A single workstation is no longer fast and powerful enough to cope with emerging large scale microarray datasets.

But the process seems to ignore the ethical and interpersonal implications of these rapid developments, and its powerful datasets are inadvertently creating far more controversial insights.

High-resolution carbon maps produced by ALS provide powerful datasets for evaluating the environmental drivers of forest structure, such as wind.

The system-wide profiling of protein post-translational modifications, for example phosphorylation, glycosylation or acetylation, as well as the influence of thousands of metabolites on the phenotypic appearance of a cell provide additional, very powerful datasets that could be integrated in current post-GWAS workflows.

Dr Lewthwaite would encourage as many people to take part as they can, because the more records we have the more powerful the dataset.