A consensus approach for estimating the predictive accuracy of dynamic models in biology. Issue 1 (April 2015)

• Record Type: Journal Article
• Authors: Villaverde, Alejandro F.; Bongard, Sophia; Mauch, Klaus; Müller, Dirk; Balsa-Canto, Eva; Schmid, Joachim; Banga, Julio R.
• Is Part Of: Computer methods and programs in biomedicine. Volume 119:Issue 1(2015)
• Page Start: 17
• Page End: 28
• Publication Date: 2015-04
• Subjects: Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2015.02.001
• Languages: English
• ISSNs: 0169-2607

Abstract

<abstract abstract-type="author-highlights" id="abs0005"> <title id="sect0005">Highlights</title> <sec> <p id="spar0005"> <list id="lis0005"> <list-item id="lsti0005"> <label></label> <p id="par0005">We propose a method for quantifying the quality of predictions in dynamic models.</p> </list-item> <list-item id="lsti0010"> <label></label> <p id="par0010">The approach helps in deciding which additional measurements are more useful.</p> </list-item> <list-item id="lsti0015"> <label></label> <p id="par0015">Meta-parameters are used for accelerating parameter estimation and reducing the risk of over-fitting.</p> </list-item> <list-item id="lsti0020"> <label></label> <p id="par0020">An ensemble of models is built, and consensus among their predictions is used as an indication of reliability.</p> </list-item> <list-item id="lsti0025"> <label></label> <p id="par0025">The method is demonstrated on a metabolic model of Chinese Hamster Ovary cells (CHO).</p> </list-item> </list> </p> </sec> </abstract>