Model selection and adaptation for biochemical pathways
- In bioinformatics, biochemical signal pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations to the available data. Here, the approach of systematically obtaining the most appropriate model and learning its parameters is extremely interesting. One of the most often used approaches for model selection is to choose the least complex model which “fits the needs”. For noisy measurements, the model which has the smallest mean squared error of the observed data results in a model which fits too accurately to the data – it is overfitting. Such a model will perform good on the training data, but worse on unknown data. This paper propose as model selection criterion the least complex description of the observed data by the model, the minimum description length. For the small, but important example of inflammation modeling the performance of the approach is evaluated. Keywords: biochemical pathways, differential equations, septic shock, parameter estimation, overfitting, minimum description length.
Author: | Rüdiger W. BrauseGND |
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URN: | urn:nbn:de:hebis:30-79220 |
Document Type: | Article |
Language: | English |
Date of Publication (online): | 2010/09/08 |
Year of first Publication: | 2004 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Release Date: | 2010/09/08 |
Tag: | biochemical pathways; differential equations; minimum description length; overfitting; parameter estimation; septic shock |
Source: | In: 5th International Symposium on Biological and Medical Data Analysis ISBMDA 2004, José M. Barreiro, Fernando Martin-Sanchez, Víctor Maojo, et al. (Eds.), Lecture Notes in Computer Science LNCS 3337, Springer Verlag 2004, pp. 439-449 |
HeBIS-PPN: | 227977866 |
Institutes: | Informatik und Mathematik / Informatik |
Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
Sammlungen: | Universitätspublikationen |
Licence (German): | Deutsches Urheberrecht |