Information Content in Data Sets for a Nucleated-Polymerization Model

Abstract : We illustrate the use of tools (asymptotic theories of standard error quantification using appropriate statistical models, bootstrapping, model comparison techniques) in addition to sensitivity that may be employed to determine the information content in data sets. We do this in the context of recent models [23] for nucleated polymerization in proteins, about which very little is known regarding the underlying mechanisms; thus the methodology we develop here may be of great help to experimentalists.
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Contributor : Marie Doumic <>
Submitted on : Monday, March 16, 2015 - 3:33:50 PM
Last modification on : Thursday, August 22, 2019 - 1:09:32 AM
Long-term archiving on : Wednesday, June 17, 2015 - 10:05:44 AM

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H. T. Banks, Marie Doumic, Carola Kruse, Stephanie Prigent, H Rezaei. Information Content in Data Sets for a Nucleated-Polymerization Model. Journal of Biological Dynamics, Taylor & Francis Open, 2015, 9 (1), pp.26. ⟨10.1080/17513758.2015.1050465⟩. ⟨hal-01123847⟩

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