GenSSI 2.0: multi-experiment structural identifiability analysis of SBML models-Reference-Cited by-同舟云学术

GenSSI 2.0: multi-experiment structural identifiability analysis of SBML models

Published:2017-11-30 Issue:8 Volume:34 Page:1421-1423
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Ligon Thomas S¹,Fröhlich Fabian²³,Chiş Oana T⁴,Banga Julio R⁵,Balsa-Canto Eva⁵,Hasenauer Jan²³^ORCID

Affiliation:

1. Faculty of Physics and Center for NanoScience (CeNS), Ludwig-Maximilians-Universität, München, Germany

2. Institute of Computational Biology, Helmholtz Zentrum München, München, Germany

3. Center of Mathematics, Technische Universität München, München, Germany

4. Technological Institute for Industrial Mathematics, University of Santiago de Compostela, Santiago de Compostela, Spain

5. (Bio)Process Engineering Group, Spanish National Research Council, IIM-CSIC, Vigo, Spain

Funder

German Research Foundation

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/8/1421/25171170/btx735.pdf

Reference7 articles.

1. Minimal output sets for identifiability;Anguelova;Math. Biosci,2012

2. DAISY: a new software tool to test global identifiability of biological and physiological systems;Bellu;Comput. Methods Programs Biomed,2007

3. LibSBML: an API library for SBML;Bornstein;Bioinformatics (Oxford, England),2008

4. GenSSI: a software toolbox for structural identifiability analysis of biological models;Chiş;Bioinformatics,2011

5. Structural identifiability of systems biology models: a critical comparison of methods;Chiş;PLoS One,2011

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