Full observability and estimation of unknown inputs, states and parameters of nonlinear biological models

Observability and Structural Identifiability of Nonlinear Biological Systems

(2019) Alejandro F. Villaverde   COMPLEXITY

Observability of nonlinear systems with unmeasured inputs

(2019) K. Maes et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Optimality and identification of dynamic models in systems biology: an inverse optimal control framework

(2018) Nikolaos Tsiantis et al.   BIOINFORMATICS

The Union between Structural and Practical Identifiability Makes Strength in Reducing Oncological Model Complexity: A Case Study

(2018) Maria Pia Saccomani et al.   COMPLEXITY

Identifiability analysis and parameter estimation of a chikungunya model in a spatially continuous domain

(2018) Shousheng Zhu et al.   Ecological Complexity

Nonlinear Unknown Input Observability: Extension of the Observability Rank Condition

(2018) Agostino Martinelli   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Identification of the Fraction of Indolent Tumors and Associated Overdiagnosis in Breast Cancer Screening Trials

(2018) Marc D Ryser et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

SIAN: software for structural identifiability analysis of ODE models

(2018) Hoon Hong et al.   BIOINFORMATICS

A Bayesian approach to estimating hidden variables as well as missing and wrong molecular interactions in ordinary differential equation-based mathematical models

(2017) Benjamin Engelhardt et al.   Journal of the Royal Society Interface

Balancing a genetic toggle switch by real-time feedback control and periodic forcing

(2017) Jean-Baptiste Lugagne et al.   Nature Communications

Dynamical compensation and structural identifiability of biological models: Analysis, implications, and reconciliation

(2017) Alejandro F. Villaverde et al.   PLoS Computational Biology

AMIGO2, a toolbox for dynamic modeling, optimization and control in systems biology

(2016) Eva Balsa-Canto et al.   BIOINFORMATICS

Input estimation for drug discovery using optimal control and Markov chain Monte Carlo approaches

(2016) Magnus Trägårdh et al.   JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS

Learning (from) the errors of a systems biology model

(2016) Benjamin Engelhardt et al.   Scientific Reports

Structural Identifiability of Dynamic Systems Biology Models

(2016) Alejandro F. Villaverde et al.   PLoS Computational Biology

Parameter Identifiability of Fundamental Pharmacodynamic Models

(2016) David L. I. Janzén et al.   Frontiers in Physiology

Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems: Fig. 1.

(2015) A. Raue et al.   BIOINFORMATICS

Comparison of approaches for parameter identifiability analysis of biological systems

(2014) A. Raue et al.   BIOINFORMATICS

On the observability and identifiability of nonlinear structural and mechanical systems

(2014) Manolis N. Chatzis et al.   Structural Control & Health Monitoring

Reverse engineering and identification in systems biology: strategies, perspectives and challenges

(2013) A. F. Villaverde et al.   Journal of the Royal Society Interface

Comprehensive estimation of input signals and dynamics in biochemical reaction networks

(2012) M. Schelker et al.   BIOINFORMATICS

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

Estimation of constant and time-varying dynamic parameters of HIV infection in a nonlinear differential equation model

(2010) Hua Liang et al.   Annals of Applied Statistics

Structural identifiability and indistinguishability analyses of the Minimal Model and a Euglycemic Hyperinsulinemic Clamp model for glucose–insulin dynamics

(2010) S.V. Chin et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A New Computational Tool for Establishing Model Parameter Identifiability

(2009) Elias August et al.   JOURNAL OF COMPUTATIONAL BIOLOGY