PEtab-GUI: A graphical user interface to create, edit and inspect PEtab parameter estimation problems

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Jost, Paul Jonas, Bergmann, Frank T, Weindl, Daniel, Hasenauer, Jan
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866908653700775936
author Jost, Paul Jonas
Bergmann, Frank T
Weindl, Daniel
Hasenauer, Jan
author_facet Jost, Paul Jonas
Bergmann, Frank T
Weindl, Daniel
Hasenauer, Jan
contents Motivation: Parameter estimation is a cornerstone of data-driven modeling in systems biology. Yet, constructing such problems in a reproducible and accessible manner remains challenging. The PEtab format has established itself as a powerful community standard to encode parameter estimation problems, promoting interoperability and reusability. However, its reliance on multiple interlinked files - often edited manually - can introduce inconsistencies, and new users often struggle to navigate them. Here, we present PEtab-GUI, an open-source Python application designed to streamline the creation, editing, and validation of PEtab problems through an intuitive graphical user interface. PEtab-GUI integrates all PEtab components, including SBML models and tabular files, into a single environment with live error-checking and customizable defaults. Interactive visualization and simulation capabilities enable users to inspect the relationship between the model and the data. PEtab-GUI lowers the barrier to entry for specifying standardized parameter estimation problems, making dynamic modeling more accessible, especially in educational and interdisciplinary settings. Availability and Implementation: PEtab-GUI is implemented in Python, open-source under a 3-Clause BSD license. The code, designed to be modular and extensible, is hosted on https://github.com/PEtab-dev/PEtab-GUI and can be installed from PyPI. Key words: Parameter Estimation, Python, Graphical User Interface, Systems Biology
format Preprint
id arxiv_https___arxiv_org_abs_2511_11515
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle PEtab-GUI: A graphical user interface to create, edit and inspect PEtab parameter estimation problems
Jost, Paul Jonas
Bergmann, Frank T
Weindl, Daniel
Hasenauer, Jan
Quantitative Methods
Motivation: Parameter estimation is a cornerstone of data-driven modeling in systems biology. Yet, constructing such problems in a reproducible and accessible manner remains challenging. The PEtab format has established itself as a powerful community standard to encode parameter estimation problems, promoting interoperability and reusability. However, its reliance on multiple interlinked files - often edited manually - can introduce inconsistencies, and new users often struggle to navigate them. Here, we present PEtab-GUI, an open-source Python application designed to streamline the creation, editing, and validation of PEtab problems through an intuitive graphical user interface. PEtab-GUI integrates all PEtab components, including SBML models and tabular files, into a single environment with live error-checking and customizable defaults. Interactive visualization and simulation capabilities enable users to inspect the relationship between the model and the data. PEtab-GUI lowers the barrier to entry for specifying standardized parameter estimation problems, making dynamic modeling more accessible, especially in educational and interdisciplinary settings. Availability and Implementation: PEtab-GUI is implemented in Python, open-source under a 3-Clause BSD license. The code, designed to be modular and extensible, is hosted on https://github.com/PEtab-dev/PEtab-GUI and can be installed from PyPI. Key words: Parameter Estimation, Python, Graphical User Interface, Systems Biology
title PEtab-GUI: A graphical user interface to create, edit and inspect PEtab parameter estimation problems
topic Quantitative Methods
url https://arxiv.org/abs/2511.11515