Name
Title | ||
|---|---|---|
Particularities of evolutionary parameter estimation in multi-stage compartmental models of thymocyte dynamics |
Abstract | ||
|---|---|---|
The aim of this paper is twofold. Firstly, it presents an extension of a multi-stage compartmental model in order to make it more appropriate in modelling various perturbations of thymocyte dynamics.Secondly, it proposes an evolutionary approach, based on the JADE algorithm, for simultaneously estimating the number of division stages, the rates associated to cellular processes (e.g. proliferation, death, migration) and the parameters corresponding to the proposed perturbation functions. Several quality of fit measures are investigated and their relationship with the variability of experimental data is exploited in order to select the optimization criterion. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2463372.2463408 | GECCO |
Keywords | Field | DocType |
thymocyte dynamic,jade algorithm,evolutionary parameter estimation,proposed perturbation function,optimization criterion,multi-stage compartmental model,division stage,experimental data,evolutionary approach,cellular process,fit measure,parameter estimation,differential evolution | Mathematical optimization,Experimental data,Computer science,Differential evolution,Estimation theory | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniela Zaharie | 1 | 393 | 36.91 |
| Lavinia Moatar-Moleriu | 2 | 0 | 0.68 |
| Viorel Negru | 3 | 311 | 47.71 |