27 citations · 148 across the 22 of their papers we have counts for
6 papers · 1 filter
Characterization of Biologically Relevant Network Structures form Time-series Data
Zoltan A. Tuza, Guy-Bart Stan
High-throughput data acquisition in synthetic biology leads to an abundance of data that need to be processed and aggregated into useful biological models. Building dynamical model…
Identifying Biochemical Reaction Networks From Heterogeneous Datasets
Wei Pan, Ye Yuan, Lennart Ljung +2
In this paper, we propose a new method to identify biochemical reaction networks (i.e. both reactions and kinetic parameters) from heterogeneous datasets. Such datasets can contain…
On Periodic Reference Tracking Using Batch-Mode Reinforcement Learning with Application to Gene Regulatory Network Control
Aivar Sootla, Natalja Strelkowa, Damien Ernst +2
In this paper, we consider the periodic reference tracking problem in the framework of batch-mode reinforcement learning, which studies methods for solving optimal control problems…
Toggling a Genetic Switch Using Reinforcement Learning
Aivar Sootla, Natalja Strelkowa, Damien Ernst +2
In this paper, we consider the problem of optimal exogenous control of gene regulatory networks. Our approach consists in adapting an established reinforcement learning algorithm c…
Minimal realization of the dynamical structure function and its application to network reconstruction
Ye Yuan, Guy-Bart Stan, Sean Warnick +1
Network reconstruction, i.e., obtaining network structure from data, is a central theme in systems biology, economics and engineering. In some previous work, we introduced dynamica…
Reconstruction of Arbitrary Biochemical Reaction Networks: A Compressive Sensing Approach
Wei Pan, Ye Yuan, Guy-Bart Stan
Reconstruction of biochemical reaction networks is a central topic in systems biology which raises crucial theoretical challenges in system identification. Nonlinear Ordinary Diffe…