Suitable experimental validation is essential, but experimentation alone is unlikely to yield the level of design insight developed using CFD flow analysis and visualisation.
Although the true expression relationships between WT1 and these genes awaits experimental validation, the SVM predictions provide insight into the possible targets of WT1 and can help in guiding further experimentation.
Furthermore, in situations where the industrial environments impose constraints for an experimental validation such as recruitment of participants, the environment setting, and the reservation of needed equipment, it may be more appropriate to conduct experimentation in an academic environment.
The integration of computational simulation and experimental validation has therefore led to new quantitative insights into amino acid exchange transport mechanisms, which could not have been derived from experimentation alone.
The analysis includes the design, modeling, construction, experimentation and validation of the concentrators.
The simulation results are used in the design of a prototype that is under experimentation for validation of the model.
Simulation comprises an indispensable set of technological tools and methods for the successful implementation of digital manufacturing, since it allows for the experimentation and validation of product, process and system design and configuration.
However, this awaits further experimentation and validation.
This hypothesis would require further experimentation for validation.
Our approach can guide further experimentation and validation of causal genes for quantitative traits.
In case of latter, experimentation and validation is required to understand the mechanistic basis of mutational effects.
