RT Journal Article
SR Electronic
T1 Ordinary Differential Equations in Cancer Biology
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 071134
DO 10.1101/071134
A1 Margaret P. Chapman
A1 Claire J. Tomlin
YR 2016
UL http://biorxiv.org/content/early/2016/08/23/071134.abstract
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.