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Targeting nanoparticles to EGFR in lung cancer provides a desirable model to study the complexities of ligand/nanoparticle receptor interactions.
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No need to study the complexities of professional football.
Mathematical modelling has established itself as a complementary means to study the complexity of biological systems.
Earlier this year, W. Brian Arthur, of the Sante Fe Institute, published a working paper, "Complexity Economics," explaining the field after which the paper is titled, which uses computer models to study the development of things like stock-market crashes and technological lock-in.
Christer and Robert (2002) studied the complexities of bullwhip by using fuzzy numbers in the bullwhip models.
A related issue is the potential generation of models of greater cellular complexity to study the contribution of different cell types to AD pathogenesis, including astrocytes and microglia.
The complexities of studying cancer progression in animal models have demonstrated the need for more simplified organotypic models to study mechanisms of differentiation and cancer progression.
We define two generative models of driver mutations in cancer, the D > P model and the D=P model, and study the algorithmic complexity of the discovery problem in each of the models, both analytically and in simulations.
Fisher's geometric model of adaptation, which defines complexity as the number of phenotypes an organism exposes to natural selection, provides a theoretical framework to study complexity.
We introduce two generative models of somatic mutations in cancer and study the algorithmic complexity of discovering driver pathways in both models.
Mathematical models of psychic processing constitute another attempt to model the complexity of human thought [37].
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