Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference

A new probabilistic generative model of parameter inference in biochemical networks

Proceedings of the 2009 ACM symposium on Applied Computing

An Extended Kalman Filtering Approach to Modeling Nonlinear Dynamic Gene Regulatory Networks via Short Gene Expression Time Series

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Flow-based Bayesian estimation of nonlinear differential equations for modeling biological networks

PRIB'10 Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatics

Model Reduction Using Piecewise-Linear Approximations Preserves Dynamic Properties of the Carbon Starvation Response in Escherichia coli

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Synthesis and infeasibility analysis for stochastic models of biochemical systems using statistical model checking and abstraction refinement

Theoretical Computer Science

Mining latent sources of causal time series using nonlinear state space modeling

ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I

A Hybrid EKF and Switching PSO Algorithm for Joint State and Parameter Estimation of Lateral Flow Immunoassay Models

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Inferring Gene Regulatory Networks via Nonlinear State-Space Models and Exploiting Sparsity

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

An iterative parameter estimation method for biological systems

Proceedings of the 3rd international workshop on Emerging computational methods for the life sciences

Parameter Estimation of Biological Phenomena: An Unscented Kalman Filter Approach

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)