%0 Journal Article %1 Vanlier2014Optimal %A Vanlier, Joep %A Tiemann, Christian A. %A Hilbers, Peter A. J. %A van Riel, Natal A. W. %D 2014 %I BioMed Central Ltd %J BMC Systems Biology %K experimental-design model-selection %N 1 %P 20+ %R 10.1186/1752-0509-8-20 %T Optimal experiment design for model selection in biochemical networks %U http://dx.doi.org/10.1186/1752-0509-8-20 %V 8 %X Mathematical modeling is often used to formalize hypotheses on how a biochemical network operates by discriminating between competing models. Bayesian model selection offers a way to determine the amount of evidence that data provides to support one model over the other while favoring simple models. In practice, the amount of experimental data is often insufficient to make a clear distinction between competing models. Often one would like to perform a new experiment which would discriminate between competing hypotheses.

@article{Vanlier2014Optimal, abstract = {Mathematical modeling is often used to formalize hypotheses on how a biochemical network operates by discriminating between competing models. Bayesian model selection offers a way to determine the amount of evidence that data provides to support one model over the other while favoring simple models. In practice, the amount of experimental data is often insufficient to make a clear distinction between competing models. Often one would like to perform a new experiment which would discriminate between competing hypotheses.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Vanlier, Joep and Tiemann, Christian A. and Hilbers, Peter A. J. and van Riel, Natal A. W.}, biburl = {https://www.bibsonomy.org/bibtex/2f8091b4e026939973fbc354a95fd2766/karthikraman}, citeulike-article-id = {13110161}, citeulike-linkout-0 = {http://dx.doi.org/10.1186/1752-0509-8-20}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/24555498}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=24555498}, day = 20, doi = {10.1186/1752-0509-8-20}, interhash = {666d86092f1c00f49296de060b121e28}, intrahash = {f8091b4e026939973fbc354a95fd2766}, issn = {1752-0509}, journal = {BMC Systems Biology}, keywords = {experimental-design model-selection}, month = feb, number = 1, pages = {20+}, pmid = {24555498}, posted-at = {2014-03-20 11:52:49}, priority = {2}, publisher = {BioMed Central Ltd}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Optimal experiment design for model selection in biochemical networks}, url = {http://dx.doi.org/10.1186/1752-0509-8-20}, volume = 8, year = 2014 }