Sentence examples for mathematical modeling provided from inspiring English sources

Mathematical modeling provided a compelling argument that temperature insensitivity of N signaling could emerge in vivo through the operations of the N trafficking network.

In the first part, mathematical modeling provides a system of Ordinary Differential Equations, as in the appendix of work [5].

Mathematical modeling provides a framework to describe and integrate the complexity of relationships between components in the cell system.

We will also highlight how the growing use of mathematical modeling provides a comprehensive and quantitative perspective on the design rules governing stem cell ACDs.

Mathematical modeling provides a powerful tool to reduce ambiguity, and allows to test various experimental and theoretical hypothesis that may be difficult or impossible to test in-vitro or in-vivo.

In conclusion, mathematical modeling provides a valuable tool for interpreting the strain rate-dependent SF reorganization induced by matrix stretching.

Despite the contradicting experimental evidences, mathematical modeling provides a useful strategy to study the dynamical property and plausibility of these models.

As illustrated in Figure 8B, mathematical modeling provides an explanation for the repulsive migration of cells in a low dose desensitizing ligand gradient (L1 in the model and CCL19 in the experiment) with a high dose uniform background of a nondesensitizing ligand (L2 in the model and CCL21 in the experiment).

Mathematical modeling provides a rigorous integrative approach for analyzing and understanding such intricate biological systems.

Mathematical modeling provides a powerful tool for studying the properties of biological processes.

Mathematical modeling provides several ways to describe biological processes based on experimental information of different kind.