Sentence examples for modeling have emerged from inspiring English sources

Large-scale network analysis and quantitative modeling have emerged as key methods for interpreting biological datasets.

In recent years, systems biology approaches, specifically network analyses that integrate experimentally derived information with computational modeling, have emerged as powerful tools for studying complex traits in diverse species [ 5, 12– 15].

Although both modeling approaches (EBM and ABM) have both advantages and disadvantages [8], agent based modeling has emerged as an alternative for addressing features of complex biological systems [9].

Multi-agent modeling has emerged as a promising discipline for dealing with decision making process in distributed information system applications.

At present, pharmacokinetic-pharmacodynamic (PK-PD) modeling has emerged as a major tool in clinical pharmacology to optimize drug use by designing rational dosage forms and dosage regimes.

Physiological-based pharmacokinetic (PBPK) modeling has emerged as a promising approach in designing adequate clinical trials and quantifying anticipated changes in unknown clinical situations.

Constraint-based modeling has emerged in the last decade as a useful approach to integrating genomic and other high-throughput data sets with more traditional, experimental data acquired through decades of research and published in the literature.

One reason that logical models have emerged as valuable modeling approach for biological systems is the fact that the logical description despite its simplicity is able to capture essential qualitative features of the system's dynamics [ 36, 77].

Two main models have emerged for the buybacks, according to officials briefed on the talks.

Rival start-ups with similar business models have emerged, such as RightNow Technologies, NetSuite and SalesNet.

Corporate capitalism and consumerist culture seem to many a busted flush, yet few alternative models have emerged.