Sentence examples for in silico experimentation from inspiring English sources

Appropriately formulated quantitative computational models can support researchers in understanding the dynamic behaviour of biological pathways and support hypothesis formulation and selection by "in silico" experimentation.

Specific expert systems are used for supporting, speeding-up and adding precision to in silico experimentation in many domains.

Our long term goal is for GemCell to serve as a broadly applicable platform for biological modeling and analysis, supporting user-friendly in silico experimentation, animation, discovery of emergent properties, and hypothesis testing, for a wide variety of biological systems.

Such models will be stored centrally so they are accessible for in silico experimentation.

In silico experimentation allows us to evaluate the independent effects of various combinations of the long-range interactions, and thereby propose a plausible evolutionary scenario.

Taverna is a popular workflow management system that is used to design and execute scientific workflows and aid in silico experimentation.

Once a fwRF model has been estimated from data, spatial pooling and feature tuning can be read-off directly with no (or very little) additional post-processing or in-silico experimentation.

The ability to perturb a biological system without any cost, except for those that are computational, truly attests to the important practicality of conducting in silico experimentations on computational models.

A model based on the underlying biology and biochemistry is a platform for in silico biological experimentation that can reveal the causal chain of events that connect variation in one quantity to variation in another.

If the model is based on the underlying biology and biochemistry, then it becomes a platform for in silico biological experimentation and it can also reveal the causal chain of events that connect variation in one quantity to variation in another.

The integrated in vitro-in silico platform and the model's predictive capacity reduced burden, time and expense of experimentation resulting in optimal medium design compared to commercially available culture media (80% amino acid reduction) and a fed-batch feeding strategy that increased productivity by 129%.