Mosca, E. and Merelli, I. and Alfieri, R. and Milanesi, L. (2009) A distributed approach for parameter estimation in Systems Biology models. Il nuovo cimento C, 32 (2). pp. 165-168. ISSN 1826-9885
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Abstract
Due to the lack of experimental measurements, biological variability and experimental errors, the value of many parameters of the systems biology Mathematical models is yet unknown or uncertain. A possible computational solution is the parameter estimation, that is the identification of the parameter values that determine the best model fitting respect to experimental data. We have developed an environment to distribute each run of the parameter estimation algorithm on a different computational resource. The key feature of the implementation is a relational database that allows the user to swap the candidate solutions among the working nodes during the computations. The comparison of the distributed implementation with the parallel one showed that the presented approach enables a faster and better parameter estimation of systems biology models.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Reactions in complex biological systems ; Computational modeling; simulation ; Ordinary differential equations (ODE), partial differential equations (PDE), integrodifferential models |
| Subjects: | 500 Scienze naturali e Matematica > 570 Scienze della vita; Biologia |
| Depositing User: | Marina Spanti |
| Date Deposited: | 25 Mar 2020 15:24 |
| Last Modified: | 25 Mar 2020 15:24 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/16537 |
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