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AMICI: High-performance sensitivity analysis for large ordinary differential equation models.
Bioinformatics 37, 3676-3677 (2021)
Verlagsversion
Forschungsdaten
DOI
PMC
SUMMARY: Ordinary differential equation models facilitate the understanding of cellular signal transduction and other biological processes. However, for large and comprehensive models, the computational cost of simulating or calibrating can be limiting. AMICI is a modular toolbox implemented in C ++/Python/MATLAB that provides efficient simulation and sensitivity analysis routines tailored for scalable, gradient-based parameter estimation and uncertainty quantification. AVAILABILITY: AMICI is published under the permissive BSD-3-Clause license with source code publicly available on https://github.com/AMICI-dev/AMICI. Citeable releases are archived on Zenodo. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
6.937
2.056
1
13
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Sprache
englisch
Veröffentlichungsjahr
2021
HGF-Berichtsjahr
2021
e-ISSN
1367-4811
Zeitschrift
Bioinformatics
Quellenangaben
Band: 37,
Heft: 20,
Seiten: 3676-3677
Verlag
Oxford University Press
Verlagsort
Oxford
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Computational Biology (ICB)
POF Topic(s)
30205 - Bioengineering and Digital Health
Forschungsfeld(er)
Enabling and Novel Technologies
PSP-Element(e)
G-553800-001
Förderungen
Federal Ministry of Economic Affairs and Energy
National Institute of Health
Human Frontier Science Program
German Research Foundation
Federal Ministry of Education and Research of Germany
European Union
National Institute of Health
Human Frontier Science Program
German Research Foundation
Federal Ministry of Education and Research of Germany
European Union
WOS ID
WOS:000733829400048
PubMed ID
33821950
Erfassungsdatum
2021-05-25