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A local sensitivity analysis method for developing biological models with identifiable parameters: Application to cardiac ionic channel modelling

Abstract:

Computational cardiac models provide important insights into the underlying mechanisms of heart function. Parameter estimation in these models is an ongoing challenge with many existing models being overparameterised. Sensitivity analysis presents a key tool for exploring the parameter identifiability. While existing methods provide insights into the significance of the parameters, they are unable to identify redundant parameters in an efficient manner. We present a new singular value decompo...

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Authors


Maybank, PJ More by this author
Mirams, GR More by this author
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Journal:
Future Generation Computer Systems
Volume:
29
Issue:
2
Pages:
591-598
Publication date:
2013-02-05
DOI:
ISSN:
0167-739X
URN:
uuid:3893ee90-bca9-4685-91ed-8729415246b5
Source identifiers:
366825
Local pid:
pubs:366825

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