The role of model integration in complex systems modelling: an example from cancer biology

This will be the first book on this topic which is of outstanding importance for systems biology and tumour modeling. There are no comparable books, to thebest of our knowledge, and we are very familiar and up-to-date with the literature in this field. Texts that one may think of as ‘related books’ are only quite indirectly related, such as service-oriented architecture or XML books for example – these only describe service-oriented architecture or XML as a technology, not computational model integration. The link there would be limited to the fact that we employed some aspects of these technologies in our methodology. Papers in the literature present various approaches to what we call ‘shallow integration’ – collections of models that communicate with each other through output-input linking. Our method (which we call ‘deep integration’) goes far beyond that. First book on Complex Systems Science And Systems Biology of Cancer with outstanding importance for systems biology and tumour modeling Contains advanced mathematical and computation principles applied to complex systems theory using tumours as an example Includes an in-depth critical study of the current state of the literature concerning modelling and simulation of tumour systems INDICE: Part 1 Introduction.- Part 2 Nature to Numbers: Complex Systems Modelling of Cancer.- Part 3 Coping with Complexity: Modelling of Complex Systems.- Part 4 Complexity and Model Integration: Formalisations.- Part 5 Novel Strategies for Integrating Models into Systems-level Simulations.- Part 6 Experiments in Model Integration.- Part 7 Discussion.

• ISBN: 978-3-642-15602-1
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 176
• Fecha Publicación: 29/09/2010
• Nº Volúmenes: 1
• Idioma: Inglés