- Home
- Publications
- Publication Search
- Publication Details
Title
Structural Identifiability of Dynamic Systems Biology Models
Authors
Keywords
MAPK signaling cascades, Systems biology, Arabidopsis thaliana, Nonlinear systems, CHO cells, Algorithms, Drug metabolism, Pharmacokinetics
Journal
PLoS Computational Biology
Volume 12, Issue 10, Pages e1005153
Publisher
Public Library of Science (PLoS)
Online
2016-10-29
DOI
10.1371/journal.pcbi.1005153
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Model calibration and uncertainty analysis in signaling networks
- (2016) Tim Heinemann et al. CURRENT OPINION IN BIOTECHNOLOGY
- A fast algorithm to assess local structural identifiability
- (2015) Johannes D. Stigter et al. AUTOMATICA
- BioPreDyn-bench: a suite of benchmark problems for dynamic modelling in systems biology
- (2015) Alejandro F Villaverde et al. BMC Systems Biology
- DYVIPAC: an integrated analysis and visualisation framework to probe multi-dimensional biological networks
- (2015) Lan K. Nguyen et al. Scientific Reports
- Summary of the DREAM8 Parameter Estimation Challenge: Toward Parameter Identification for Whole-Cell Models
- (2015) Jonathan R. Karr et al. PLoS Computational Biology
- MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics
- (2014) Jose A Egea et al. BMC BIOINFORMATICS
- On Finding and Using Identifiable Parameter Combinations in Nonlinear Dynamic Systems Biology Models and COMBOS: A Novel Web Implementation
- (2014) Nicolette Meshkat et al. PLoS One
- On the observability and identifiability of nonlinear structural and mechanical systems
- (2014) Manolis N. Chatzis et al. Structural Control & Health Monitoring
- Structural identifiability analyses of candidate models for in vitro Pitavastatin hepatic uptake
- (2013) Thomas R.B. Grandjean et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Reverse engineering and identification in systems biology: strategies, perspectives and challenges
- (2013) A. F. Villaverde et al. Journal of the Royal Society Interface
- CRNreals: a toolbox for distinguishability and identifiability analysis of biochemical reaction networks
- (2012) G. Szederkenyi et al. BIOINFORMATICS
- A Whole-Cell Computational Model Predicts Phenotype from Genotype
- (2012) Jonathan R. Karr et al. CELL
- On the identifiability of metabolic network models
- (2012) Sara Berthoumieux et al. JOURNAL OF MATHEMATICAL BIOLOGY
- Structural Identifiability of Systems Biology Models: A Critical Comparison of Methods
- (2011) Oana-Teodora Chis et al. PLoS One
- On Identifiability of Nonlinear ODE Models and Applications in Viral Dynamics
- (2011) Hongyu Miao et al. SIAM REVIEW
- Dynamic Mathematical Modeling of IL13-Induced Signaling in Hodgkin and Primary Mediastinal B-Cell Lymphoma Allows Prediction of Therapeutic Targets
- (2010) V. Raia et al. CANCER RESEARCH
- Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood
- (2009) A. Raue et al. BIOINFORMATICS
- A New Computational Tool for Establishing Model Parameter Identifiability
- (2009) Elias August et al. JOURNAL OF COMPUTATIONAL BIOLOGY
- An algorithm for finding globally identifiable parameter combinations of nonlinear ODE models using Gröbner Bases
- (2009) Nicolette Meshkat et al. MATHEMATICAL BIOSCIENCES
- Optimal Experimental Design for Parameter Estimation of a Cell Signaling Model
- (2009) Samuel Bandara et al. PLoS Computational Biology
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started