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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https://hal.inria.fr/hal-01123847
Contributeur : Marie Doumic <>
Soumis le : lundi 16 mars 2015 - 15:33:50
Dernière modification le : vendredi 25 mai 2018 - 12:02:07
Document(s) archivé(s) le : mercredi 17 juin 2015 - 10:05:44

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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. 〈http://www.tandfonline.com/doi/pdf/10.1080/17513758.2015.1050465〉. 〈10.1080/17513758.2015.1050465〉. 〈hal-01123847〉

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