PT  - JOURNAL ARTICLE
AU  - Margaret P. Chapman
AU  - Claire J. Tomlin
TI  - Ordinary Differential Equations in Cancer Biology
AID  - 10.1101/071134
DP  - 2016 Jan 01
TA  - bioRxiv
PG  - 071134
4099  - http://biorxiv.org/content/early/2016/08/23/071134.short
4100  - http://biorxiv.org/content/early/2016/08/23/071134.full
AB  - 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.