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ASPASIA: A toolkit for evaluating the effects of biological interventions on SBML model behaviour

Abstract:

A calibrated computational model reflects behaviours that are expected or observed in a complex system, providing a baseline upon which sensitivity analysis techniques can be used to analyse pathways that may impact model responses. However, calibration of a model where a behaviour depends on an intervention introduced after a defined time point is difficult, as model responses may be dependent on the conditions at the time the intervention is applied. We present ASPASIA (Automated Simulation...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1371/journal.pcbi.1005351

Authors


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ORCID:
0000-0002-2345-5249
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ORCID:
0000-0003-4411-1776
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ORCID:
0000-0002-2397-6490
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ORCID:
0000-0003-4986-1824
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDORMS; KIR
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Contributors

Role:
Editor
Royal Society More from this funder
Royal Academy of Engineering More from this funder
Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Computational Biology Journal website
Volume:
13
Issue:
2
Pages:
e1005351
Publication date:
2017-02-03
Acceptance date:
2017-01-08
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
Pubs id:
pubs:821761
URN:
uri:9572a716-e758-4750-9224-a48044e3b42c
UUID:
uuid:9572a716-e758-4750-9224-a48044e3b42c
Local pid:
pubs:821761

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