Sentence examples for leveraging data generated by from inspiring English sources

Retailers are already leveraging data generated by cars to inform their site selection decisions, and the public sector is using the data for civic improvement and planning projects.

The third and final objective of this study is to examine how to best leverage data generated by this stratification and modelling exercise for typical management purposes and how to perform inventory updates assuming regular remote sensing data acquisition is not feasible (given cost constraints).

Think of it this way: If you're chasing after a $10-billion 10-billion your comarketor handa wayour leverage the data generated by their competitor– and you don't – thasodds aren't in your favor.

Instead, predictive modelling frameworks [ 3– 7] have been developed that leverage the wealth of high-throughput sequencing data generated by recent large-scale consortia (e.g. ENCODE [ 8]) to predict the (indirect) relationships between transcription factors, epigenetic modifications and RNA transcript abundance.

The current review will emphasize the need for sex-specific evaluation of the relationship between stress exposure and LHPA axis activity on individual risk for obesity by summarizing data generated by animal models currently being leveraged to determine the etiology of stress-induced alterations in feeding behavior and metabolism.

Thus the approach taken here leverages the production of species-specific gene expression profiles along with the increasing amount of gene homolog data generated by the sequencing of additional animal genomes.

But the data generated by doctors and patients could prove equally lucrative.

How accurate is the data generated by Cue?

Data generated by WCS has helped to inform Bureau of Land Management decision-making throughout its assessment process.

In this study, we leveraged recently available RNA-seq data generated from well-characterized primary NSCLC tumors by TCGA to evaluate mRNA expression of the splice variants IR-A and IR-B.

As a result, the potential for leveraging the vast majority of transcriptome data generated are diminished.