Sentence examples for data-driven hypothesis from inspiring English sources

CrossCheck dramatically simplifies high-throughput screen data analysis and enables researchers to dig deep into the published literature and streamline data-driven hypothesis generation.

In short, CrossCheck's ability to process vast quantities of high-throughput screen data can be a powerful tool for rapid, data-driven hypothesis generation.

In summary, CrossCheck is a powerful centralized database cross-referencing tool, with a potent scope and magnitude of exploration, serving as a versatile data-driven hypothesis generation resource for both low- and high-throughput dataset analysis.

The constitutive activation of NF-κB in our system and the extensive reprogramming at NF-κB target loci provide further support for this data-driven hypothesis.

These insights were generated using high throughput measurement of single cell phenotype and signaling, multiplex cytokine profiling, and partial least square regression analysis to enable data-driven hypothesis generation from the resulting large, complex dataset.

Metabolomics is primarily a data-driven, hypothesis generating science; however, so far most published research has been proof of principle, relying on complex statistical models as the endpoint of a given study.

However, the successful identification of biomarkers and/or mechanisms of tolerance that have implications on long-term graft survival and outcomes depend on proper integration of study design, experimental protocols, and data-driven hypotheses.

are accumulating at a rapid pace in data repositories, providing an invaluable resource from which data-driven hypotheses have been proposed.

In our integrated kNN approach, the definition of expert- and data-driven hypotheses represented a guiding principle for implementing a systematic search of candidate biosignatures.

The package does not only offer an efficient prioritization tool for selecting the most promising drug combinations for further experimental testing, but also produces data-driven hypotheses for their target interactions.

That is, the systems are being trained to recommend data-driven business hypotheses for marketers, managers, and innovators to experimentally test.