Article ID: | iaor201110682 |
Volume: | 62 |
Issue: | 10 |
Start Page Number: | 3902 |
End Page Number: | 3911 |
Publication Date: | Nov 2011 |
Journal: | Computers and Mathematics with Applications |
Authors: | Coscia V, Fermo L, Bellomo N |
Keywords: | ecology, programming: mathematical, biology |
This paper aims at showing how the so‐called mathematical kinetic theory for active particles can be properly developed to propose a new system biology approach. The investigation begins with an analysis of complexity in biological systems, continues with reviewing a general methodology to reduce complexity and furnishes the mathematical tools to describe the time evolution of such systems by capturing all their features.