Abstract — Recent advances of experimental techniques in bi-ology have led to the production of enormous amounts of data on the dynamics of genetic regulatory networks. We present an approach for the identification of PieceWise-Affine (PWA) models of genetic regulatory networks from experimental data, focusing on the reconstruction of switching thresholds associated with regulatory interactions. In particular, our method takes into account geometric constraints specific to models of genetic regulatory networks. We show the feasibility of our approach by the reconstruction of switching thresholds in a PWA model of the carbon starvation response in the bacterium Escherichia coli. Index Terms — hybrid systems, system identification, systems bi...
This paper considers piecewise affine models of genetic regulatory networks and focuses on the probl...
In this paper we consider piecewise affine models of genetic regulatory networks proposed by Glass a...
We present a method for the structural identification of genetic regulatory networks (GRNs), based o...
International audienceRecent advances of experimental techniques in biology have led to th...
International audienceRecent advances of experimental techniques in biology have led to th...
Recent advances of experimental techniques in biology have led to the production of enormous amounts...
International audienceRecent advances of experimental techniques in biology have led to th...
Recent advances of experimental techniques in biology have led to the production of enormous amounts...
Abstract. Recent advances of experimental techniques in biology have led to the production of enormo...
http://dx.doi.org/10.1007/11730637_16Recent advances of experimental techniques in biology have led ...
This paper considers piecewise affine models of genetic regulatory networks and focuses on the probl...
This tutorial paper considers the problem of reconstructing Genetic Regulatory Networks (GRNs) from ...
This paper considers piecewise affine models of genetic regulatory networks and focuses on the probl...
This tutorial paper considers the problem of reconstructing Genetic Regulatory Networks (GRNs) from ...
Abstract. This paper considers piecewise affine models of genetic regu-latory networks and focuses o...
This paper considers piecewise affine models of genetic regulatory networks and focuses on the probl...
In this paper we consider piecewise affine models of genetic regulatory networks proposed by Glass a...
We present a method for the structural identification of genetic regulatory networks (GRNs), based o...
International audienceRecent advances of experimental techniques in biology have led to th...
International audienceRecent advances of experimental techniques in biology have led to th...
Recent advances of experimental techniques in biology have led to the production of enormous amounts...
International audienceRecent advances of experimental techniques in biology have led to th...
Recent advances of experimental techniques in biology have led to the production of enormous amounts...
Abstract. Recent advances of experimental techniques in biology have led to the production of enormo...
http://dx.doi.org/10.1007/11730637_16Recent advances of experimental techniques in biology have led ...
This paper considers piecewise affine models of genetic regulatory networks and focuses on the probl...
This tutorial paper considers the problem of reconstructing Genetic Regulatory Networks (GRNs) from ...
This paper considers piecewise affine models of genetic regulatory networks and focuses on the probl...
This tutorial paper considers the problem of reconstructing Genetic Regulatory Networks (GRNs) from ...
Abstract. This paper considers piecewise affine models of genetic regu-latory networks and focuses o...
This paper considers piecewise affine models of genetic regulatory networks and focuses on the probl...
In this paper we consider piecewise affine models of genetic regulatory networks proposed by Glass a...
We present a method for the structural identification of genetic regulatory networks (GRNs), based o...