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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/24944

Title: Modelling complex biological systems using an agent-based approach
Authors: Holcombe, Mike
Adra, Salem
Bicak, Mesude
Chin, Shawn
Coakley, Simon
Graham, Alison I.
Green, Jeffery
Greenough, Chris
Jackson, Duncan
Kiran, Mariam
MacNeil, Sheila
Maleki-Dizaji, Afsaneh
McMinn, Phil
Pogson, Mark
Poole, Robert
Qwarnstrom, Eva
Ratnieks, Francis
Rolfe, Matthew D.
Smallwood, Rod
Sun, Tao
Worth, David
Issue Date: 2012
Publisher: © Royal Society of Chemistry
Citation: HOLCOMBE, M. ... et al, 2012. Modelling complex biological systems using an agent-based approach. Integrative Biology 4 (1), pp.53-64
Abstract: Many of the complex systems found in biology are comprised of numerous components, where interactions between individual agents result in the emergence of structures and function, typically in a highly dynamic manner. Often these entities have limited lifetimes but their interactions both with each other and their environment can have profound biological consequences. We will demonstrate how modelling these entities, and their interactions, can lead to a new approach to experimental biology bringing new insights and a deeper understanding of biological systems.
Description: This paper is Closed Access.
Version: Closed access
DOI: 10.1039/C1IB00042J
URI: https://dspace.lboro.ac.uk/2134/24944
Publisher Link: http://dx.doi.org/10.1039/C1IB00042J
ISSN: 1757-9694
Appears in Collections:Closed Access (Chemical Engineering)

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