dc.contributor.author | Schmiester, Leonard | |
dc.contributor.author | Schälte, Yannik | |
dc.contributor.author | Bergmann, Frank T. | |
dc.contributor.author | Camba, Tacio | |
dc.contributor.author | Dudkin, Erika | |
dc.contributor.author | Egert, Janine | |
dc.contributor.author | Fröhlich, Fabian | |
dc.contributor.author | Fuhrmann, Lara | |
dc.contributor.author | Hauber, Adrian L. | |
dc.contributor.author | Kemmer, Svenja | |
dc.contributor.author | Lakrisenko, Polina | |
dc.contributor.author | Loos, Carolin | |
dc.contributor.author | Merkt, Simon | |
dc.contributor.author | Müller, Wolfgang | |
dc.contributor.author | Pathirana, Dilan | |
dc.contributor.author | Raimúndez, Elba | |
dc.contributor.author | Refisch, Lukas | |
dc.contributor.author | Rosenblatt, Marcus | |
dc.contributor.author | Stapor, Paul L. | |
dc.contributor.author | Städter, Philipp | |
dc.contributor.author | Wang, Dantong | |
dc.contributor.author | Wieland, Franz-Georg | |
dc.contributor.author | Banga, Julio R. | |
dc.contributor.author | Timmer, Jens | |
dc.contributor.author | Fernandez Villaverde, Alejandro | |
dc.contributor.author | Sahle, Sven | |
dc.contributor.author | Kreutz, Clemens | |
dc.contributor.author | Hasenauer, Jan | |
dc.contributor.author | Weindl, Daniel | |
dc.date.accessioned | 2022-07-13T07:43:30Z | |
dc.date.available | 2022-07-13T07:43:30Z | |
dc.date.issued | 2021-01-26 | |
dc.identifier.citation | PLoS Computational Biology, 17(1): e1008646 (2021) | spa |
dc.identifier.issn | 15537358 | |
dc.identifier.uri | http://hdl.handle.net/11093/3682 | |
dc.description.abstract | 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. | spa |
dc.language.iso | eng | spa |
dc.publisher | PLoS Computational Biology | spa |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | PEtab-Interoperable specification of parameter estimation problems in systems biology | en |
dc.type | article | spa |
dc.rights.accessRights | openAccess | spa |
dc.identifier.doi | 10.1371/journal.pcbi.1008646 | |
dc.identifier.editor | https://dx.plos.org/10.1371/journal.pcbi.1008646 | spa |
dc.publisher.departamento | Enxeñaría de sistemas e automática | spa |
dc.publisher.grupoinvestigacion | Grupo de Control non Liñal | spa |
dc.subject.unesco | 3328 Procesos Tecnológicos | spa |
dc.subject.unesco | 1207.02 Sistemas de Control | spa |
dc.subject.unesco | 3311.02 Ingeniería de Control | spa |
dc.date.updated | 2022-07-08T08:55:09Z | |
dc.computerCitation | pub_title=PLoS Computational Biology|volume=17|journal_number=1|start_pag=e1008646|end_pag= | spa |