Concepedia

Publication | Open Access

pyPESTO: a modular and scalable tool for parameter estimation for dynamic models

DOIFull Paper Access

48

Citations

21

References

2023

Year

Yannik Schälte, Fabian Fröhlich, Paul Jonas Jost, Jakob Vanhoefer, Dilan Pathirana, Paul Stapor, Polina Lakrisenko, Dantong Wang, Elba Raimúndez, Simon Merkt,
Bioinformatics

Abstract

pyPESTO is implemented in Python, open-source under a 3-Clause BSD license. Code and documentation are available on GitHub (https://github.com/icb-dcm/pypesto).

References

YearCitations

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