A method to study asymptotic properties of solutions to systems of differential equations with distributed time-delays and Boolean-type nonlinearities (step functions) is offered. Such systems arise in many applications, but this paper deals with specific examples of such systems coming from genetic regulatory networks. A challenge is to analyze stable stationary points which belong to the discontinuity set of the system (thresholds). The paper describes an algorithm of localizing stationary points in the presence of delays as well as stability analysis around such points. The basic technical tool consists in replacing step functions by special smooth functions ("the tempered nonlinearities") and investigating the systems thus ob...
Abstract. In this article, we propose a refinement of the modeling of genetic regulatory networks ba...
Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises which cause...
Monostability and multistability are proven to be two important topics in synthesis biology and syst...
Abstract: A method to study asymptotic properties of solutions to systems of differential equations ...
Abstract. A method to study asymptotic properties of solutions to systems of differential equations ...
Abstract. This paper suggests a mathematical framework to study gene reg-ulatory networks with time-...
This brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorpo...
Title and subtitle Delay-dependent Stability of Genetic Regulatory Networks (Fördröjning och stabili...
In this paper, the global exponential stability of complex-valued genetic regulatory networks with d...
This paper concerns the problem of stability analysis for delayed stochastic genetic regulatory netw...
Genes are the fundamental units of biological organisms. Genes encode proteins which carryout variou...
This paper presents the robust stability criteria for uncertain genetic regulatory networks with tim...
This paper presents an analytical study of the stability of the steady state solutions of a gene reg...
This paper presents an analytical study of the stability of the steady state solutions of a gene reg...
The synthetic genetic regulatory networks (GRNs) prove to be a powerful tool in studying gene regula...
Abstract. In this article, we propose a refinement of the modeling of genetic regulatory networks ba...
Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises which cause...
Monostability and multistability are proven to be two important topics in synthesis biology and syst...
Abstract: A method to study asymptotic properties of solutions to systems of differential equations ...
Abstract. A method to study asymptotic properties of solutions to systems of differential equations ...
Abstract. This paper suggests a mathematical framework to study gene reg-ulatory networks with time-...
This brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorpo...
Title and subtitle Delay-dependent Stability of Genetic Regulatory Networks (Fördröjning och stabili...
In this paper, the global exponential stability of complex-valued genetic regulatory networks with d...
This paper concerns the problem of stability analysis for delayed stochastic genetic regulatory netw...
Genes are the fundamental units of biological organisms. Genes encode proteins which carryout variou...
This paper presents the robust stability criteria for uncertain genetic regulatory networks with tim...
This paper presents an analytical study of the stability of the steady state solutions of a gene reg...
This paper presents an analytical study of the stability of the steady state solutions of a gene reg...
The synthetic genetic regulatory networks (GRNs) prove to be a powerful tool in studying gene regula...
Abstract. In this article, we propose a refinement of the modeling of genetic regulatory networks ba...
Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises which cause...
Monostability and multistability are proven to be two important topics in synthesis biology and syst...