PubAg

Main content area

PESTO: Parameter EStimation TOolbox

Author:
Stapor, Paul, Weindl, Daniel, Ballnus, Benjamin, Hug, Sabine, Loos, Carolin, Fiedler, Anna, Krause, Sabrina, Hroß, Sabrina, Fröhlich, Fabian, Hasenauer, Jan
Source:
Bioinformatics 2018 v.34 no.4 pp. 705-707
ISSN:
1460-2059
Subject:
algorithms, bioinformatics, uncertainty
Abstract:
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. 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/. jan.hasenauer@helmholtz-muenchen.de Supplementary data are available at Bioinformatics online.
Agid:
6249179