PESTO: Parameter EStimation TOolbox

SUMMARY: PESTO is a widely applicable and highly customizable toolbox for parameter estimation in MathWorks MATLAB. It offers scalable algorithms for optimization, uncertainty and identifiability analysis, which work in a very generic manner, treating the objective function as a black box. Hence, PE...

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Detalles Bibliográficos
Autores principales: Stapor, Paul, Weindl, Daniel, Ballnus, Benjamin, Hug, Sabine, Loos, Carolin, Fiedler, Anna, Krause, Sabrina, Hroß, Sabrina, Fröhlich, Fabian, Hasenauer, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860618/
https://www.ncbi.nlm.nih.gov/pubmed/29069312
http://dx.doi.org/10.1093/bioinformatics/btx676
Descripción
Sumario:SUMMARY: PESTO is a widely applicable and highly customizable toolbox for parameter estimation in MathWorks MATLAB. It offers scalable algorithms for optimization, uncertainty and identifiability analysis, which work in a very generic manner, treating the objective function as a black box. Hence, PESTO can be used for any parameter estimation problem, for which the user can provide a deterministic objective function in MATLAB. AVAILABILITY AND IMPLEMENTATION: PESTO is a MATLAB toolbox, freely available under the BSD license. The source code, along with extensive documentation and example code, can be downloaded from https://github.com/ICB-DCM/PESTO/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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