NDLI: An improved curvilinear gradient method for parameter optimization in complex biological models

Content Provider	Springer Nature Link
Author	Szekely, David Vandenberg, Jamie I. Dokos, Socrates Hill, Adam P.
Copyright Year	2010
Abstract	Mathematical modeling is an often used approach in biological science which, given some understanding of a system, is employed as a means of predicting future behavior and quantitative hypothesis testing. However, as our understanding of processes becomes more in depth, the models we use to describe them become correspondingly more complex. There is a paucity of effective methods available for sampling the vast objective surfaces associated with complex multiparameter models while at the same time maintaining the accuracy needed for local evaluation of minima—all in a practical time period. We have developed a series of modifications to the curvilinear gradient method for parameter optimization. We demonstrate the power and efficiency of our routine through fitting of a 22 parameter Markov state model to an electrophysiological recording of a cardiac ion channel. Our method efficiently and accurately locates parameter minima which would not be easily identified using the currently available means. While the computational overhead involved in implementing the curvilinear gradient method may have contributed to resistance to adopting this technique, the performance improvements allowed by our modifications make this an extremely valuable tool in development of models of complex biological systems.
Starting Page	289
Ending Page	296
Page Count	8
File Format	PDF
ISSN	01400118
Journal	Medical and Biological Engineering and Computing
Volume Number	49
Issue Number	3
e-ISSN	17410444
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-07-30
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Modeling Curvilinear gradient method Parameter optimization Minimization Biological models Computer Applications Human Physiology Imaging Radiology Biomedical Engineering
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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