Sentence examples for data-driven experimental from inspiring English sources

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It is based on Dynamic Field Theory which allows the combination of theoretical knowledge with data-driven experimental approaches.

In many subfields of chemistry and physics, numerous attempts have been made to accelerate scientific discovery using data-driven experimental design algorithms.

A new data-driven experimental design methodology, design of dynamic experiments (DoDE), is proposed as a means of developing a response surface model that can be used to effectively optimize batch crystallization processes.

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In the data-driven approach, experimental data are used directly to generate ensembles of conformations that reproduce the experimental observations.

Using a combination of data-driven mathematical modeling and experimental validation, we addressed the molecular reason for this differential kinetic of ISG expression.

Data-driven approaches directly use experimental data (Hi-C, imaging, and so on) to produce an ensemble of conformations that best match an experimentally observed set of contact probabilities and distances52,53.

In this paper we presented the BioDEAL biological evidence and curation system that introduces a feedback loop into the database-publication cycle by allowing scientists to link experimental data-driven biological concepts to published evidence.

There are at least two major computational approaches for modelling genome architecture on the basis of experimental data: data-driven and de novo approaches33 (Fig. 2).

There is a continuing effort to engage a growing community of users which includes experimental immunologists, data-driven modelers and data enthusiasts to take advantage of the enriched ImmPort datasets deposited by large consortia and individual labs in the Immunology community.

In this work we introduce a data-driven technique for partitioning the experimental time course into distinct temporal intervals with different multivariate functional connectivity patterns between a set of regions of interest (ROIs).

In contrast, data-driven models are built from experimental data, often in the absence of known features.

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