PEtab-Interoperable specification of parameter estimation problems in systems biology.
Journal
PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922
Informations de publication
Date de publication:
01 2021
01 2021
Historique:
received:
07
08
2020
accepted:
18
12
2020
revised:
05
02
2021
pubmed:
27
1
2021
medline:
15
5
2021
entrez:
26
1
2021
Statut:
epublish
Résumé
Reproducibility and reusability of the results of data-based modeling studies are essential. Yet, there has been-so far-no broadly supported format for the specification of parameter estimation problems in systems biology. Here, we introduce PEtab, a format which facilitates the specification of parameter estimation problems using Systems Biology Markup Language (SBML) models and a set of tab-separated value files describing the observation model and experimental data as well as parameters to be estimated. We already implemented PEtab support into eight well-established model simulation and parameter estimation toolboxes with hundreds of users in total. We provide a Python library for validation and modification of a PEtab problem and currently 20 example parameter estimation problems based on recent studies.
Identifiants
pubmed: 33497393
doi: 10.1371/journal.pcbi.1008646
pii: PCOMPBIOL-D-20-01416
pmc: PMC7864467
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1008646Subventions
Organisme : NCI NIH HHS
ID : U54 CA225088
Pays : United States
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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