Sentence examples for model biological phenomena from inspiring English sources

Computational tools utilized to model biological phenomena can be categorized, broadly, as continuum or discrete.

Higher fidelity in silico modeling of organisms provides the foundation for the eventual integration of metabolic information with gene regulation and signaling networks to model biological phenomena.

Although we do not describe them here for brevity (suggesting reference [ 11] as a good starting point), we care to say that despite the fact that each of these has been efficiently applied in a specific problem domain and each has its pro and contra in terms of computational efficiency, none of them has emerged as the multimethod to be used to model biological phenomena.

In this way we can have a parameterized synchronization between membranes, and this aspect could be very useful in modeling biological phenomena.

Mathematical graphs are widely used for modeling biological phenomena (Mason and Verwoerd, 2007), from gene regulatory networks (de Jong, 2002) to evolutionary dynamics (Lieberman et al., 2005).

Representations of in silico phenomena, on the other hand, focus on representing a particular biosimulation model, and biological phenomena are represented only as a secondary consequence, since the biosimulation model is an in silico representation of in vivo phenomena.

A rising trend in modern science is to model numerous biological phenomena, including the human brain activity processes.

As with any mathematical model of biological phenomena there are limitations.

Consistency violations of this group arise when a model represents biological phenomena that are impossible according to the current knowledge of biology, as expressed in biomedical ontologies.

Nevertheless, Boolean modelling can efficiently capture the required dynamics of a GRN and has been successfully applied in the past to model various biological phenomena, such as cellular differentiation and embryo development (Davidich and Bornholdt, 2008; Davidson et al., 2002; Li et al., 2004; Smith et al., 2007).

Construct and extend mathematical models of biological phenomena; Analyze these models using the concepts and tools of nonlinear dynamical systems theory; and Write clearly about the modeling process and the results obtained from the model.