Ordinary Differential Equations in Cancer Biology
Margaret P Chapman, Claire J. Tomlin
Abstract
Ordinary differential equations (ODEs) provide a classical framework to
model the dynamics of biological systems, given temporal experimental
data. Qualitative analysis of the ODE model can lead to further
biological insight and deeper understanding compared to traditional
experiments alone. Simulation of the model under various perturbations
can generate novel hypotheses and motivate the design of new
experiments. This short paper will provide an overview of the ODE
modeling framework, and present examples of how ODEs can be used to
address problems in cancer biology.
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