Sentence examples for data-driven perspective from inspiring English sources

Thirdly, the article provides a data-driven perspective (including genome-wide analysis of clinical samples, studies on mutant mice, and clinical trials), which concludes that IL-1β should be replaced by soluble mediators such as IL-17 or TGF-β1, which are much more likely to mimic the disease in OA model systems.

Our results support these earlier observations from a complementary systems-level, data-driven perspective.

Recent efforts at data reduction for longitudinal expression data, by using principal-component analysis to identify and monitor health and disease "trajectories", represent an attempt at understanding such "eigenprocesses" from a data-driven perspective [ 5, 6].

We'll be bringing you data-driven analysis, historical perspective and results as they become available.

This novel information-rich and direct perception has the potential to entirely change the way we address the molecular-level analysis of complex materials, systems, and processes in general, thereby opening novel perspectives in data-driven systems biology and "omics" approaches.

We'll be bringing you data-driven analysis, exit poll information, historical perspective and state-by-state results.

Other perspectives include testing data-driven containment strategies based on the various contact patterns representations and understanding how the evaluation of their performance depends on the representation, in particular for the case of the novel representation defined by the contact matrix of distributions we introduced here.

An alternative to this scheme and one offering a more systematic method of mining all available information, takes a top-down perspective that is entirely data-driven.

Polls in the state are closed, and we'll be bringing you the results, data-driven observations, exit poll information and some historical perspective.

During his visit to the Harvard Graduate School of Education this week, Shyamalan appeared on the Harvard EdCast to explore his unique "outside" perspective on education and his data-driven approach to improving the education gap, while debunking other popular reform ideas.

We also outline perspectives for using ontologies in data-driven science, in particular their application in structured data mining and machine learning applications.