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

Anna A Sher; Ken Wang; Andrew Wathen; Philip John Maybank; Gary Mirams; David Andrew Abramson; Denis Noble; David J Gavaghan

doi:10.1016/j.future.2011.09.006

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

Anna A Sher, Ken Wang, Andrew Wathen, Philip John Maybank, Gary Mirams, David Andrew Abramson, Denis Noble, David J Gavaghan

Research output: Contribution to journal › Article › Research › peer-review

16 Citations (Scopus)

Original language	English
Pages (from-to)	591 - 598
Number of pages	8
Journal	Future Generation Computer Systems
Volume	29
Issue number	2
DOIs	https://doi.org/10.1016/j.future.2011.09.006
Publication status	Published - 2013

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10.1016/j.future.2011.09.006

Cite this

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

author = "Sher, {Anna A} and Ken Wang and Andrew Wathen and Maybank, {Philip John} and Gary Mirams and Abramson, {David Andrew} and Denis Noble and Gavaghan, {David J}",

year = "2013",

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language = "English",

volume = "29",

pages = "591 -- 598",

journal = "Future Generation Computer Systems",

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AU - Sher, Anna A

AU - Wang, Ken

AU - Wathen, Andrew

AU - Maybank, Philip John

AU - Mirams, Gary

AU - Abramson, David Andrew

AU - Noble, Denis

AU - Gavaghan, David J

PY - 2013

Y1 - 2013

U2 - 10.1016/j.future.2011.09.006

DO - 10.1016/j.future.2011.09.006

M3 - Article

SN - 0167-739X

VL - 29

SP - 591

EP - 598

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

IS - 2

ER -