Sentence examples for models that interact from inspiring English sources

Exact(1)

The methodology is first developed for single-level models, and then extended to systems that are studied using multi-level models that interact with each other.

Similar(59)

Dataset4 is intended to display candidate genes which are human orthologs of model organism genes that interact with well-ranked genes.

Thus, as Borges (2008) concludes, "Despite all these assaults, the beanbag endures, with the formulation of better and more sophisticated theoretical population genetics models that include multiple interacting loci, thus making the transition from the classical models of Fisher, Wright and Haldane to more modern ones.

The overall process is modeled as different Time Petri Net (TPN) models (each one modeling a local process) that interact with each other via guarded transitions that becomes enabled only when certain conditions (expressed as predicates over the marking of some places) are satisfied (the guard is true).

Its origins date back to Rasch and Lord in the 1950s (ibid).. IRT is a "family of mathematical models that describe how people interact with test items" (Čisar, Radosav, Markoski, Pinter, & Čisar, 2010).

SynBioSS-based modeling of biomolecular ensembles that interact away from the thermodynamic limit and not necessarily at steady state affords for a theoretical framework that is generally applicable to known synthetic biological systems, such as bistable switches, AND gates, and oscillators.

We here extend the framework to handle demographic models that contain multiple demes interacting through migration.

Furthermore, this conceptual design utilises a Collaborative decision-support model that effectively interacts with the decision-makers and the management information systems/tools exist in the network, and provides appropriate support to all necessary decision-making steps towards the attainment of the network's strategic goals, while making full benefits of the network resources.

To explore factors that may affect the rate of parasite adaptation to host genotype, we describe a model that combines interacting descriptions of host genetics, parasite genetics and disease biology.

By design, stages in the methodology are both flexible and iterative, resulting in interacting CI models that are scalable and may vary significantly in complexity and fidelity, depending on the needs and requirements of an assessor.

Other reaction diffusion models that are also based on interacting antagonistic morphogens (e.g. the Gray Scott [ Gray and Scott 1983; McGough and Riley 2004] or Schnakenberg model [ Schnakenberg 1979; Iron et al. 2004]) may yield similar results.

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