Sentence examples for multiple levels of complexity from inspiring English sources

This design is appropriate for investigating targets with multiple levels of complexity.

Indeed, using the high-throughput chemotactic assays, we showed that multiple levels of complexity exist in neuronal responses to chemotactic cues.

It presents a framework based on Bayes networks to use available data at multiple levels of complexity (i.e. components, subsystem, etc).

Collaborating across disciplines requires team members to rapidly and clearly communicate and demonstrate the value of key principles, processes, and work practices while negotiating multiple levels of complexity, knowledge cultures, skills, and capabilities.

Free-grazing ruminants forage in environments containing multiple levels of complexity; the forage selection process operates at the landscape scale, when selecting feeding sites, and at the plant part level when selecting actual bites.

Multisite phosphorylation cycles are ubiquitous in cell regulation systems and are studied at multiple levels of complexity, from molecules to organisms, with the ultimate goal of establishing predictive understanding of the effects of genetic and pharmacological perturbations of protein phosphorylation in vivo.

Even though the Grid computing is well-established in many computing communities, its use among domain scientists still is not trivial because of multiple levels of complexities encountered.

News in Levels and the Smithsonian's Tween Tribune provide articles about current events that can be read on multiple levels of text complexity depending on students' English proficiency.

Beyond reviewing imaging genetics studies, we also discuss the need for complementary approaches at multiple levels of biological complexity and emphasize the importance of combining and integrating findings across levels for a better understanding of biological pathways from gene to disease.

Finally, representation of biological data as networks of relationships facilitates data integration across multiple levels of biological complexity and may define contribution of specific miRNAs to systems-wide properties of disease.

Computational models represent powerful tools for the exploration of cardiac structure and function across multiple levels of spatio-temporal complexity.