Complexity and high-end computing in biology and medicine
Perrin, Dimitri (2011) Complexity and high-end computing in biology and medicine. In Software Tools and Algorithms for Biological Systems. Springer, New York, pp. 377-384.
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Biomedical systems involve a large number of entities and intricate interactions between these. Their direct analysis is, therefore, difficult, and it is often necessary to rely on computational models. These models require significant resources and parallel computing solutions. These approaches are particularly suited, given parallel aspects in the nature of biomedical systems. Model hybridisation also permits the integration and simultaneous study of multiple aspects and scales of these systems, thus providing an efficient platform for multidisciplinary research.
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|Item Type:||Book Chapter|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2011 Springer|
|Deposited On:||14 Apr 2015 23:46|
|Last Modified:||14 Dec 2015 05:58|
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