Sentence examples for modeling biological systems from inspiring English sources

Based on our positive experience, we propose that the friendly, yet formal, OPM modeling framework is a tool for modeling biological systems, whose adoption would benefit the emerging domain of systems biology.

The current state of affairs, reflected in this survey, is that there are quite a number of modeling approaches and software environments for modeling biological systems, but many of them are object-oriented, hindering direct and explicit process modeling, which is at the heart of systems biology.

Moreover, the lack of the process as a stand-alone concept in the OO modeling approach is a major hindrance for modeling biological systems, which are mostly process-intensive.

The ability to derive and manipulate pluripotent stem cells has opened up new avenues for modeling biological systems in both healthy and diseased conditions.

From the point of view of modeling biological systems, it implies the need to conceptualize behavior and cognition as dynamical processes which unfold in time while the organism interacts with the environment.

It then presents essential methodology for model-guided analyses of biological data, covering such methods as network reconstruction, uncertainty quantification, and experimental design; practical algorithms and software packages for modeling biological systems; and specific examples of current quantitative biology research and related specialized methods.

RODNEY BROOKS, the 45-year-old director of the Artificial Intelligence Laboratory at the Massachusetts Institute of Technology, has spent most of his career engrossed in the question of how to model biological systems.

The deluge of genomic information would, the theory went, be funnelled into powerful computers, which would then be able to model biological systems, figure out how they went wrong, and design drugs to fix them.

Dynamical systems are frequently used to model biological systems.

Membrane Computing has been used to model biological systems, becoming with time a thorough modeling paradigm comparable, in its modeling and predicting capabilities, to more established models in this area.

The authors concluded that the FO models are more suitable to model biological systems with memory, than their integer-order counterparts.