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. 2018 Feb 15;34(4):705-707.
doi: 10.1093/bioinformatics/btx676.

PESTO: Parameter EStimation TOolbox

Paul Stapor  1   2 , Daniel Weindl  1 , Benjamin Ballnus  1   2 , Sabine Hug  1   2 , Carolin Loos  1   2 , Anna Fiedler  1   2 , Sabrina Krause  1   2 , Sabrina Hroß  1   2 , Fabian Fröhlich  1   2 , Jan Hasenauer  1   2
Affiliations

PESTO: Parameter EStimation TOolbox

Paul Stapor et al. Bioinformatics. .

Abstract

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/.

Contact: jan.hasenauer@helmholtz-muenchen.de.

Supplementary information: Supplementary data are available at Bioinformatics online.

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