Sentence examples for mechanistic modeling and from inspiring English sources
New algorithms combining the strengths of both mechanistic modeling and statistical inference approaches to identify genetic regulatory networks are in demand.
We would therefore argue that a more quantitative computer-based mechanistic modeling and simulation, even with the current limited knowledge is a possible solution to increase the chances of clinical success.
Mechanistic modeling and studying the dynamics under different stimuli can give us insights into what experiment or a set of experiments will tell the models and therefore hypotheses apart.
Our integrated mechanistic modeling and experimental validation provides an example of how systems biology approaches can be applied to drug discovery and provide a basis for decision-making with limited chemical matter.
The role of EGF/EGFR dynamic interaction networks has been studied recently with either computational approaches [ 43], or by integration of molecular profiling, database and literature mining, mechanistic modeling, and cell culture experiments, demonstrating that EGF (among other growth factors) plays an important role in communication networks regulating blood stem cell fate decisions [ 44].
Although our original aim was to use the diffusion model as a descriptive tool to jointly capture patterns in mean choice, response times and neural activity (rather than to claim the superiority of the diffusion model over more realistic counterparts), we do agree that mechanistic modeling and model comparison issues can and should be addressed in a separate paper.
The modeling of circulating biomarkers (see refs. 59 and 60 for reviews of modeling initiatives) is also a clear avenue in the development of more mechanistic models and for identification of predictive biomarkers.
These include stoichiometric techniques that rely on reaction stoichiometry and other constraints, kinetic pathway modelling techniques that rely on comprehensive mechanistic models and interaction-based analyses, as well as Petri nets and qualitative modelling formalisms [ 66].
Herein we present an overview of mechanistic models and their applications in biotechnology, including future perspectives.
The theoretical mechanistic model and the empirical mechanistic model had normalized mean errors of 120% and 21%, respectively, when compared to measurements.
Model agreement was calculated by measuring the level of agreement between the mechanistic model and the two correlative models.
