Conference icon

Conference

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...

Expand abstract
Publication status:
Published

Actions


Authors


More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Mathematical Inst
Role:
Author
Volume:
247
Pages:
53-252
Publication date:
2002-01-01
EISSN:
1935-4657
ISSN:
1528-2511
URN:
uuid:1600497f-9f3f-47ca-a8e9-772d3440da80
Source identifiers:
4151
Local pid:
pubs:4151
ISBN:
0-470-84480-9

Terms of use


Metrics


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP