Sentence examples for data integration framework from inspiring English sources

Motivated by this work, we develop a novel data integration framework that integrates multiple types of molecular network data to reconstruct and update GO.

For example, Zhang et al. proposed an effective data integration framework using a multiple nonnegative matrix factorization framework and simultaneously integrated additional network in a regularized manner to identify microRNA-gene regulatory modules associated with ovarian cancer [ 12, 13].

To fill this research gap, this paper introduces a novel data integration framework for developing an evacuation decision support system for wildfire, Integrated Wildfire Evacuation Decision Support System (IWEDSS).

Using a data integration framework as a blueprint, you can transform data into consistent, quality, timely information for your business people to use in measuring, monitoring, and managing the enterprise.

The project objectives are to exploit the available digital contents of the Radiology Departments in the EU, to define an European Radiological Classification and to set up an European radiological digital data integration framework.

To address this gap in practice and research, the aim of this study includes presenting a data integration framework for fusing projects data using GIS.

Nevertheless, at the moment there are surprisingly few examples of open-source data integration frameworks running on personal workstations (5).

The new effect size measure is evaluated and compared under the quality-weighted and quality-unweighted data integration frameworks using simulated data sets, and also in several data sets of prostate cancer patients and controls.

We aim to overcome the shortcomings of the aforementioned static data integration frameworks by adopting and extending a DAS-based approach for the exchange of molecular interaction data and their annotations.

In summary, we combined estimated ROM-based effect sizes for all studies under two data integration frameworks: the quality-unweighted random effects models and the quality-weighted random effects models [ 16].

To evaluate the significance of genes identified by quality-adjusted and quality-unadjusted data integration frameworks under ROM and SDM effect size measures, we compared the ranks of a set of known prostate tumor genes.