Mathematical models are an essential tool in systems biology, linking the behaviour of a system to the interactions between its components. Parameters in empirical mathematical models must be determined using experimental data, a process called regression. Because experimental data are noisy and incomplete, diagnostics that test the structural identifiability and validity of models and the significance and determinability of their parameters are needed to ensure that the proposed models are supported by the available data.
%0 Journal Article
%1 Jaqaman2006Linking
%A Jaqaman, Khuloud
%A Danuser, Gaudenz
%D 2006
%I Nature Publishing Group
%J Nat Rev Mol Cell Biol
%K data fitting modelling parameters regression
%N 11
%P 813--819
%R 10.1038/nrm2030
%T Linking data to models: data regression
%U http://dx.doi.org/10.1038/nrm2030
%V 7
%X Mathematical models are an essential tool in systems biology, linking the behaviour of a system to the interactions between its components. Parameters in empirical mathematical models must be determined using experimental data, a process called regression. Because experimental data are noisy and incomplete, diagnostics that test the structural identifiability and validity of models and the significance and determinability of their parameters are needed to ensure that the proposed models are supported by the available data.
@article{Jaqaman2006Linking,
abstract = {Mathematical models are an essential tool in systems biology, linking the behaviour of a system to the interactions between its components. Parameters in empirical mathematical models must be determined using experimental data, a process called regression. Because experimental data are noisy and incomplete, diagnostics that test the structural identifiability and validity of models and the significance and determinability of their parameters are needed to ensure that the proposed models are supported by the available data.},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Jaqaman, Khuloud and Danuser, Gaudenz},
biburl = {https://www.bibsonomy.org/bibtex/26e2b4e65ba09b84f4aabd6027c5a3bae/karthikraman},
citeulike-article-id = {910670},
citeulike-linkout-0 = {http://dx.doi.org/10.1038/nrm2030},
citeulike-linkout-1 = {http://dx.doi.org/10.1038/nrm2030},
citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/17006434},
citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=17006434},
day = 27,
doi = {10.1038/nrm2030},
interhash = {2c1e528481882e051e7bd3b2d7337ccb},
intrahash = {6e2b4e65ba09b84f4aabd6027c5a3bae},
issn = {1471-0072},
journal = {Nat Rev Mol Cell Biol},
keywords = {data fitting modelling parameters regression},
month = nov,
number = 11,
pages = {813--819},
pmid = {17006434},
posted-at = {2009-12-15 14:05:47},
priority = {2},
publisher = {Nature Publishing Group},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {Linking data to models: data regression},
url = {http://dx.doi.org/10.1038/nrm2030},
volume = 7,
year = 2006
}