TY - JOUR T1 - Ordinary Differential Equations in Cancer Biology JF - bioRxiv DO - 10.1101/071134 SP - 071134 AU - Margaret P. Chapman AU - Claire J. Tomlin Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/08/23/071134.abstract N2 - 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. ER -