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Stapor, P. ; Weindl, D. ; Ballnus, B. ; Hug, S. ; Loos, C. ; Fiedler, A. ; Krause, S. ; Hross, S. ; Fröhlich, F. ; Hasenauer, J.

PESTO: Parameter EStimation TOolbox.

Bioinformatics 34, 705-707 (2018)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
Summary PESTO is a widely applicable and highly customizable toolbox for parameter estimation in MathWorks M ATLAB. 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 informationSupplementary dataare available at Bioinformatics online.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
ISSN (print) / ISBN 1367-4803
e-ISSN 1367-4811
Zeitschrift Bioinformatics
Quellenangaben Band: 34, Heft: 4, Seiten: 705-707 Artikelnummer: , Supplement: ,
Verlag Oxford University Press
Verlagsort Oxford
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)