Research graph
References from PEtab Select: Specification standard and supporting software for automated model selection. Local targets link to admitted publications; unresolved targets remain external evidence.
Lessons learned from quantitative dynamical modeling in systems biology
10.1371/journal.pone.0074335 · 2013 · External reference
A protocol for dynamic model calibration
10.1093/bib/bbab387 · 2022 · External reference
10.1007/b97636
10.1007/b97636 · 2004 · External reference
The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models
10.1093/bioinformatics/btg015 · 2003 · External reference
Reproducible computational biology experiments with SED-ML--the Simulation Experiment Description Markup Language
10.1186/1752-0509-5-198 · 2011 · External reference
PEtab-Interoperable specification of parameter estimation problems in systems biology
10.1371/journal.pcbi.1008646 · 2021 · External reference
A new look at the statistical model identification
10.1109/tac.1974.1100705 · 1974 · External reference
Further analysis of the data by Akaike’s information criterion and the finite corrections
10.1080/03610927808827599 · 1978 · External reference
Estimating the Dimension of a Model
10.1214/aos/1176344136 · 1978 · External reference
Bayes Factors
10.1080/01621459.1995.10476572 · 1995 · External reference
Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models
10.1371/journal.pcbi.1011417 · 2023 · External reference
A survey of cross-validation procedures for model selection
10.1214/09-ss054 · 2010 · External reference
Combinatorial Histone Acetylation Patterns Are Generated by Motif-Specific Reactions
10.1016/j.cels.2016.01.002 · 2016 · External reference
Elucidation of Genetic Interactions in the Yeast GATA-Factor Network Using Bayesian Model Selection
10.1371/journal.pcbi.1004784 · 2016 · External reference
Saccharomyces cerevisiae and S. kudriavzevii Synthetic Wine Fermentation Performance Dissected by Predictive Modeling
10.3389/fmicb.2018.00088 · 2018 · External reference
Positive feedback induces switch between distributive and processive phosphorylation of Hog1
10.1038/s41467-023-37430-y · 2023 · External reference
Parallel Tempering with Lasso for model reduction in systems biology
10.1371/journal.pcbi.1007669 · 2020 · External reference
Driving the Model to Its Limit: Profile Likelihood Based Model Reduction
10.1371/journal.pone.0162366 · 2016 · External reference
Reversible jump MCMC for multi-model inference in Metabolic Flux Analysis
10.1093/bioinformatics/btz500 · 2020 · External reference
Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems
10.1093/bioinformatics/btv405 · 2015 · External reference
Dynamic modeling, parameter estimation, and uncertainty analysis in R
10.18637/jss.v088.i10 · 2019 · External reference
pyPESTO: a modular and scalable tool for parameter estimation for dynamic models
10.1093/bioinformatics/btad711 · 2023 · External reference
PEtab.jl: Advancing the Efficiency and Utility of Dynamic Modelling
2025 · External reference
COPASI--a COmplex PAthway SImulator
10.1093/bioinformatics/btl485 · 2006 · External reference
BASICO: A simplified Python interface to COPASI
10.21105/joss.05553 · 2023 · External reference
FAMoS: A Flexible and dynamic Algorithm for Model Selection to analyse complex systems dynamics
10.1371/journal.pcbi.1007230 · 2019 · External reference
The FAIR Guiding Principles for scientific data management and stewardship
10.1038/sdata.2016.18 · 2016 · External reference
DifferentialEquations.jl – A performant and feature-rich ecosystem for solving differential equations in Julia
10.5334/jors.151 · 2017 · External reference
Forward-Mode Automatic Differentiation in Julia
2016 · External reference
