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Making sense of complex phenomena in biology.

Abstract:

The remarkable advances in biotechnology over the past two decades have resulted in the generation of a huge amount of experimental data. It is now recognized that, in many cases, to extract information from this data requires the development of computational models. Models can help gain insight on various mechanisms and can be used to process outcomes of complex biological interactions. To do the latter, models must become increasingly complex and, in many cases, they also become mathematica...

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Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
Journal:
Novartis Foundation symposium
Volume:
247
Pages:
53-252
Publication date:
2002-01-01
Event title:
Symposium on In Silico Simulation of Biological Processes
EISSN:
1935-4657
ISSN:
1528-2511
Source identifiers:
4151
ISBN:
0470844809
Keywords:
Pubs id:
pubs:4151
UUID:
uuid:1600497f-9f3f-47ca-a8e9-772d3440da80
Local pid:
pubs:4151
Deposit date:
2012-12-19

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